De-Shuang Huang
Deshuang Huang
http://www.intelengine.cn/English/people/hds.htm
https://orcid.org/0000-0002-6759-2691
https://www.wikidata.org/entity/Q88941185
Zhen-Hao Guo
Yan-Bin Wang
Siguo Wang
Qinhu Zhang
De-Shuang Huang
scCorrector: a robust method for integrating multi-study single-cell data.
2024
January
25
Briefings Bioinform.
2
https://doi.org/10.1093/bib/bbad525
db/journals/bib/bib25.html#GuoWWZH24
Lei Wang 0121
Zheng-Wei Li
Zhu-Hong You
De-Shuang Huang
Leon Wong
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association.
1742-1751
2024
March
28
IEEE J. Biomed. Health Informatics
3
https://doi.org/10.1109/JBHI.2023.3344714
db/journals/titb/titb28.html#WangLYHW24
Lei Wang 0121
Zheng-Wei Li
Zhu-Hong You
De-Shuang Huang
Leon Wong
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction.
1752-1761
2024
March
28
IEEE J. Biomed. Health Informatics
3
https://doi.org/10.1109/JBHI.2023.3346821
db/journals/titb/titb28.html#WangLYHW24a
Zhi-Peng Li
Hai-Long Su
Xiao-Bo Zhu
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
De-Shuang Huang
SSPool: A Simple Siamese Framework for Graph Infomax Pooling.
463-470
2024
January - February
11
IEEE Trans. Netw. Sci. Eng.
1
https://doi.org/10.1109/TNSE.2023.3300878
db/journals/tnse/tnse11.html#LiSZGFH24
Qinhu Zhang
Pengrui Teng
Siguo Wang
Ying He
Zhen Cui
Zhenghao Guo
Yixin Liu
Changan Yuan
Qi Liu 0019
De-Shuang Huang
Computational prediction and characterization of cell-type-specific and shared binding sites.
2023
January
39
Bioinform.
1
https://doi.org/10.1093/bioinformatics/btac798
db/journals/bioinformatics/bioinformatics39.html#ZhangTWHCGLYLH23
Lin Yuan
Jiawang Zhao
Zhen Shen
Qinhu Zhang
Yushui Geng
Chun-Hou Zheng
De-Shuang Huang
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
2023
19
PLoS Comput. Biol.
8
https://doi.org/10.1371/journal.pcbi.1011344
db/journals/ploscb/ploscb19.html#YuanZSZGZH23
Hai-Long Su
Zhi-Peng Li
Xiao-Bo Zhu
Li-Na Yang
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
Anthony G. Cohn 0001
De-Shuang Huang
Hierarchical Graph Neural Network Based on Semi-Implicit Variational Inference.
887-895
2023
15
IEEE Trans. Cogn. Dev. Syst.
2
https://doi.org/10.1109/TCDS.2022.3193398
db/journals/tamd/tamd15.html#SuLZYGF0H23
Yong Wu
Guo-Dui He
Li-Hua Wen
Xiao Qin 0005
Chang-an Yuan 0001
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
De-Shuang Huang
Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification.
1-14
2023
5
IEEE Trans. Biom. Behav. Identity Sci.
1
https://doi.org/10.1109/TBIOM.2022.3184525
db/journals/tbbis/tbbis5.html#WuHWQYGFH23
Ying He
Qinhu Zhang
Siguo Wang
Zhanheng Chen
Zhen Cui
Zhen-Hao Guo
De-Shuang Huang
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.
616-624
2023
January - February
20
IEEE ACM Trans. Comput. Biol. Bioinform.
1
https://doi.org/10.1109/TCBB.2022.3165592
db/journals/tcbb/tcbb20.html#HeZWCCGH23
Qinhu Zhang
Youhong Xu
Siguo Wang
Yong Wu
Yuannong Ye
Chang-An Yuan 0001
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
De-Shuang Huang
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.
2690-2699
2023
September - October
20
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2022.3219831
db/journals/tcbb/tcbb20.html#ZhangXWWYYGFH23
Lei Wang 0121
Zhu-Hong You
De-Shuang Huang
Jianqiang Li 0001
MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association.
67-75
2023
53
IEEE Trans. Cybern.
1
https://doi.org/10.1109/TCYB.2021.3090756
db/journals/tcyb/tcyb53.html#WangYHL23
He Li 0006
Duo Jin
Xuejiao Li
Jianbin Huang
Xiaoke Ma
Jiangtao Cui
Deshuang Huang
Shaojie Qiao
Jaesoo Yoo
DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction.
97:1-97:19
2023
17
ACM Trans. Knowl. Discov. Data
7
https://doi.org/10.1145/3586164
db/journals/tkdd/tkdd17.html#0006JLHMCHQY23
Xiaorui Su
Zhuhong You
Deshuang Huang
Lei Wang 0121
Leon Wong
Boya Ji
Bowei Zhao
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction.
5640-5651
2023
June
35
IEEE Trans. Knowl. Data Eng.
6
https://doi.org/10.1109/TKDE.2022.3154792
db/journals/tkde/tkde35.html#SuYHWWJZ23
De-Shuang Huang
Prashan Premaratne
Baohua Jin
Boyang Qu
Kang-Hyun Jo
Abir Hussain
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part I
ICIC (1)
Springer
2023
Lecture Notes in Computer Science
14086
978-981-99-4754-6
978-981-99-4755-3
https://doi.org/10.1007/978-981-99-4755-3
db/conf/icic/icic2023-1.html
De-Shuang Huang
Prashan Premaratne
Baohua Jin
Boyang Qu
Kang-Hyun Jo
Abir Hussain
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part II
ICIC (2)
Springer
2023
Lecture Notes in Computer Science
14087
978-981-99-4741-6
978-981-99-4742-3
https://doi.org/10.1007/978-981-99-4742-3
db/conf/icic/icic2023-2.html
De-Shuang Huang
Prashan Premaratne
Baohua Jin
Boyang Qu
Kang-Hyun Jo
Abir Hussain
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III
ICIC (3)
Springer
2023
Lecture Notes in Computer Science
14088
978-981-99-4748-5
978-981-99-4749-2
https://doi.org/10.1007/978-981-99-4749-2
db/conf/icic/icic2023-3.html
De-Shuang Huang
Prashan Premaratne
Baohua Jin
Boyang Qu
Kang-Hyun Jo
Abir Hussain
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part IV
ICIC (4)
Springer
2023
Lecture Notes in Computer Science
14089
978-981-99-4751-5
978-981-99-4752-2
https://doi.org/10.1007/978-981-99-4752-2
db/conf/icic/icic2023-4.html
De-Shuang Huang
Prashan Premaratne
Baohua Jin
Boyang Qu
Kang-Hyun Jo
Abir Hussain
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part V
ICIC (5)
Springer
2023
Lecture Notes in Computer Science
14090
978-981-99-4760-7
978-981-99-4761-4
https://doi.org/10.1007/978-981-99-4761-4
db/conf/icic/icic2023-5.html
Hai-Cheng Yi
Zhu-Hong You
De-Shuang Huang
Chee Keong Kwoh 0001
Graph representation learning in bioinformatics: trends, methods and applications.
2022
23
Briefings Bioinform.
1
https://doi.org/10.1093/bib/bbab340
db/journals/bib/bib23.html#YiYHK22
De-Shuang Huang
Recent development on intelligent computing.
412-413
2022
488
Neurocomputing
https://doi.org/10.1016/j.neucom.2022.01.097
db/journals/ijon/ijon488.html#Huang22
Qinhu Zhang
Ying He
Siguo Wang
Zhanheng Chen
Zhen-Hao Guo
Zhen Cui
Qi Liu 0019
De-Shuang Huang
Base-resolution prediction of transcription factor binding signals by a deep learning framework.
2022
18
PLoS Comput. Biol.
3
https://doi.org/10.1371/journal.pcbi.1009941
https://www.wikidata.org/entity/Q113308682
db/journals/ploscb/ploscb18.html#ZhangHWCGCLH22
Siguo Wang
Qinhu Zhang
Ying He
Zhen Cui
Zhen-Hao Guo
Kyungsook Han
De-Shuang Huang
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.
1010572
2022
October
18
PLoS Comput. Biol.
10
https://doi.org/10.1371/journal.pcbi.1010572
db/journals/ploscb/ploscb18.html#WangZHCGHH22
Hao Shen
Zhong-Qiu Zhao
Wenrui Liao
Weidong Tian
De-Shuang Huang
Joint operation and attention block search for lightweight image restoration.
108909
2022
132
Pattern Recognit.
https://doi.org/10.1016/j.patcog.2022.108909
db/journals/pr/pr132.html#ShenZLTH22
Zhi-Peng Li
Hai-Long Su
Xiao-Bo Zhu
Xiumei Wei
Xuesong Jiang
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
De-Shuang Huang
Hierarchical Graph Pooling With Self-Adaptive Cluster Aggregation.
1198-1207
2022
14
IEEE Trans. Cogn. Dev. Syst.
3
https://doi.org/10.1109/TCDS.2021.3100883
db/journals/tamd/tamd14.html#LiSZWJGFH22
Zhen Shen
Qinhu Zhang
Kyungsook Han
De-Shuang Huang
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network.
753-762
2022
19
IEEE ACM Trans. Comput. Biol. Bioinform.
2
https://doi.org/10.1109/TCBB.2020.3007544
https://www.wikidata.org/entity/Q98200740
db/journals/tcbb/tcbb19.html#ShenZHH22
De-Shuang Huang
Kyungsook Han
Tatsuya Akutsu
Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC).
3124-3125
2022
19
IEEE ACM Trans. Comput. Biol. Bioinform.
6
https://doi.org/10.1109/TCBB.2022.3150232
db/journals/tcbb/tcbb19.html#HuangHA22
Qinhu Zhang
Yindong Zhang
Siguo Wang
Zhan-Heng Chen
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
De-Shuang Huang
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.
3144-3153
2022
19
IEEE ACM Trans. Comput. Biol. Bioinform.
6
https://doi.org/10.1109/TCBB.2021.3133869
db/journals/tcbb/tcbb19.html#ZhangZWCGFH22
Zhen Cui
Zhan-Heng Chen
Qinhu Zhang
Valeriya V. Gribova
Vladimir Fedorovich Filaretov
De-Shuang Huang
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.
3663-3672
2022
19
IEEE ACM Trans. Comput. Biol. Bioinform.
6
https://doi.org/10.1109/TCBB.2021.3122183
db/journals/tcbb/tcbb19.html#CuiCZGFH22
He Li 0006
Xuejiao Li
Liangcai Su
Duo Jin
Jianbin Huang
Deshuang Huang
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction.
19:1-19:21
2022
13
ACM Trans. Intell. Syst. Technol.
2
https://doi.org/10.1145/3510829
db/journals/tist/tist13.html#LiLSJHH22
Jianbin Huang
Longji Huang
Meijuan Liu
He Li 0006
Qinglin Tan
Xiaoke Ma
Jiangtao Cui
De-Shuang Huang
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms.
41:1-41:19
2022
13
ACM Trans. Intell. Syst. Technol.
3
https://doi.org/10.1145/3474841
db/journals/tist/tist13.html#HuangHLLTMCH22
Lei Wang 0121
Leon Wong
Zhu-Hong You
De-Shuang Huang
Xiao-Rui Su
Bo-Wei Zhao
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction.
5075-5084
2022
26
IEEE J. Biomed. Health Informatics
10
https://doi.org/10.1109/JBHI.2022.3199462
db/journals/titb/titb26.html#WangWYHSZ22
De-Shuang Huang
Kang-Hyun Jo
Junfeng Jing
Prashan Premaratne
Vitoantonio Bevilacqua
Abir Hussain
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part I
ICIC (1)
Springer
2022
Lecture Notes in Computer Science
13393
978-3-031-13869-0
978-3-031-13870-6
https://doi.org/10.1007/978-3-031-13870-6
db/conf/icic/icic2022-1.html
De-Shuang Huang
Kang-Hyun Jo
Junfeng Jing
Prashan Premaratne
Vitoantonio Bevilacqua
Abir Hussain
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part II
ICIC (2)
Springer
2022
Lecture Notes in Computer Science
13394
978-3-031-13828-7
978-3-031-13829-4
https://doi.org/10.1007/978-3-031-13829-4
db/conf/icic/icic2022-2.html
De-Shuang Huang
Kang-Hyun Jo
Junfeng Jing
Prashan Premaratne
Vitoantonio Bevilacqua
Abir Hussain
Intelligent Computing Methodologies - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part III
ICIC (3)
Springer
2022
Lecture Notes in Computer Science
13395
978-3-031-13831-7
978-3-031-13832-4
https://doi.org/10.1007/978-3-031-13832-4
db/conf/icic/icic2022-3.html
Qi Lai
Jianhang Zhou
Yanfen Gan
Chi-Man Vong
Deshuang Huang
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification.
2022
abs/2209.02625
CoRR
https://doi.org/10.48550/arXiv.2209.02625
db/journals/corr/corr2209.html#abs-2209-02625
Zhen-Hao Guo
Zhu-Hong You
De-Shuang Huang
Hai-Cheng Yi
Kai Zheng 0020
Zhan-Heng Chen
Yan-Bin Wang
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
2085-2095
2021
22
Briefings Bioinform.
2
https://doi.org/10.1093/bib/bbaa037
https://www.wikidata.org/entity/Q90783894
db/journals/bib/bib22.html#GuoYHYZCW21
Ying He
Zhen Shen
Qinhu Zhang
Siguo Wang
De-Shuang Huang
A survey on deep learning in DNA/RNA motif mining.
2021
22
Briefings Bioinform.
4
https://doi.org/10.1093/bib/bbaa229
https://www.wikidata.org/entity/Q100417811
db/journals/bib/bib22.html#HeSZWH21
Qinhu Zhang
Siguo Wang
Zhanheng Chen
Ying He
Qi Liu 0019
De-Shuang Huang
Locating transcription factor binding sites by fully convolutional neural network.
2021
22
Briefings Bioinform.
5
https://doi.org/10.1093/bib/bbaa435
db/journals/bib/bib22.html#ZhangWCHLH21
Qinhu Zhang
Vitoantonio Bevilacqua
De-Shuang Huang
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era.
508-509
2021
452
Neurocomputing
https://doi.org/10.1016/j.neucom.2021.04.126
db/journals/ijon/ijon452.html#ZhangBH21
Yi Pan 0001
De-Shuang Huang
Jian-Xin Wang 0001
Fa Zhang 0001
Preface.
231-233
2021
36
J. Comput. Sci. Technol.
2
https://doi.org/10.1007/s11390-021-0002-3
db/journals/jcst/jcst36.html#PanHWZ21
Yong Wu
Kun Zhang
Di Wu 0030
Chao Wang 0071
Chang-an Yuan 0001
Xiao Qin 0005
Tao Zhu
Yuchuan Du
Hanli Wang
De-Shuang Huang
Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask.
865-874
2021
13
IEEE Trans. Cogn. Dev. Syst.
4
https://doi.org/10.1109/TCDS.2020.3003674
db/journals/tamd/tamd13.html#WuZWWYQZDWH21
Qinhu Zhang
Zhen Shen
De-Shuang Huang
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape.
667-676
2021
18
IEEE ACM Trans. Comput. Biol. Bioinform.
2
https://doi.org/10.1109/TCBB.2019.2947461
https://www.wikidata.org/entity/Q90846686
db/journals/tcbb/tcbb18.html#ZhangSH21
De-Shuang Huang
Vitoantonio Bevilacqua
M. Michael Gromiha
Guest Editorial for Special Section on the 15th International Conference on Intelligent Computing (ICIC).
1730-1732
2021
18
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2021.3065722
db/journals/tcbb/tcbb18.html#HuangBG21
Qinhu Zhang
Dailun Wang
Kyungsook Han
De-Shuang Huang
Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme.
1743-1751
2021
18
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2020.3025007
https://www.wikidata.org/entity/Q99568628
db/journals/tcbb/tcbb18.html#ZhangWHH21
Qinhu Zhang
Wenbo Yu
Kyungsook Han
Asoke K. Nandi
De-Shuang Huang
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.
1793-1800
2021
18
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2020.3025579
https://www.wikidata.org/entity/Q99603487
db/journals/tcbb/tcbb18.html#ZhangYHNH21
Hai-Cheng Yi
Zhu-Hong You
Zhen-Hao Guo
De-Shuang Huang
Keith C. C. Chan
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations.
2546-2554
2021
18
IEEE ACM Trans. Comput. Biol. Bioinform.
6
https://doi.org/10.1109/TCBB.2020.2973091
https://www.wikidata.org/entity/Q89765807
db/journals/tcbb/tcbb18.html#YiYGHC21
Di Wu 0030
Chao Wang 0071
Yong Wu
Qicong Wang
De-Shuang Huang
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification.
70-78
2021
5
IEEE Trans. Emerg. Top. Comput. Intell.
1
https://doi.org/10.1109/TETCI.2020.3034606
db/journals/tetci/tetci5.html#WuWWWH21
Van-Thanh Hoang
De-Shuang Huang
Kang-Hyun Jo
3-D Facial Landmarks Detection for Intelligent Video Systems.
578-586
2021
17
IEEE Trans. Ind. Informatics
1
https://doi.org/10.1109/TII.2020.2966513
db/journals/tii/tii17.html#HoangHJ21
De-Shuang Huang
Kang-Hyun Jo
Jianqiang Li
Valeriya V. Gribova
Vitoantonio Bevilacqua
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part I
ICIC (1)
Springer
2021
Lecture Notes in Computer Science
12836
978-3-030-84521-6
978-3-030-84522-3
https://doi.org/10.1007/978-3-030-84522-3
db/conf/icic/icic2021-1.html
De-Shuang Huang
Kang-Hyun Jo
Jianqiang Li
Valeriya V. Gribova
Abir Hussain
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II
ICIC (2)
Springer
2021
Lecture Notes in Computer Science
12837
978-3-030-84528-5
978-3-030-84529-2
https://doi.org/10.1007/978-3-030-84529-2
db/conf/icic/icic2021-2.html
De-Shuang Huang
Kang-Hyun Jo
Jianqiang Li
Valeriya V. Gribova
Prashan Premaratne
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part III
ICIC (3)
Springer
2021
Lecture Notes in Computer Science
12838
978-3-030-84531-5
978-3-030-84532-2
https://doi.org/10.1007/978-3-030-84532-2
db/conf/icic/icic2021-3.html
Lei Wang 0121
Zhu-Hong You
Yu-An Huang
De-Shuang Huang
Keith C. C. Chan
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.
4038-4046
2020
36
Bioinform.
13
https://doi.org/10.1093/bioinformatics/btz825
https://www.wikidata.org/entity/Q91633781
db/journals/bioinformatics/bioinformatics36.html#WangYHHC20
De-Shuang Huang
Special issue on advanced intelligent computing: Theory and applications.
188
2020
408
Neurocomputing
https://doi.org/10.1016/j.neucom.2020.03.099
db/journals/ijon/ijon408.html#Huang20
Qinhu Zhang
Lin Zhu 0008
Wenzheng Bao
De-Shuang Huang
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding.
679-689
2020
17
IEEE ACM Trans. Comput. Biol. Bioinform.
2
https://doi.org/10.1109/TCBB.2018.2864203
https://www.wikidata.org/entity/Q90939188
db/journals/tcbb/tcbb17.html#ZhangZBH20
Lei Wang 0121
Zhu-Hong You
De-Shuang Huang
Fengfeng Zhou
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions.
972-980
2020
17
IEEE ACM Trans. Comput. Biol. Bioinform.
3
https://doi.org/10.1109/TCBB.2018.2874267
https://www.wikidata.org/entity/Q57184683
db/journals/tcbb/tcbb17.html#WangYHZ20
De-Shuang Huang
Vitoantonio Bevilacqua
M. Michael Gromiha
Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC).
1474-1475
2020
17
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2020.2989800
db/journals/tcbb/tcbb17.html#HuangBG20
Zhen Shen
Su-Ping Deng
De-Shuang Huang
Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature.
1483-1492
2020
17
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2019.2943465
https://www.wikidata.org/entity/Q90338207
db/journals/tcbb/tcbb17.html#ShenDH20
Chen Peng
Yang Zheng
De-Shuang Huang
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.
1605-1612
2020
17
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2019.2909905
https://www.wikidata.org/entity/Q93000792
db/journals/tcbb/tcbb17.html#PengZH20
Zhen Shen
Su-Ping Deng
De-Shuang Huang
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks.
1741-1750
2020
17
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2019.2910513
https://www.wikidata.org/entity/Q93123082
db/journals/tcbb/tcbb17.html#ShenDH20a
Hai-Cheng Yi
Zhu-Hong You
Xiao-Rui Su
De-Shuang Huang
Zhen-Hao Guo
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model.
339-347
2020
ICIC (2)
https://doi.org/10.1007/978-3-030-60802-6_30
conf/icic/2020-2
db/conf/icic/icic2020-2.html#YiYSHG20
De-Shuang Huang
Vitoantonio Bevilacqua
Abir Hussain
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I
ICIC (1)
Springer
2020
Lecture Notes in Computer Science
12463
978-3-030-60798-2
978-3-030-60799-9
https://doi.org/10.1007/978-3-030-60799-9
db/conf/icic/icic2020-1.html
De-Shuang Huang
Kang-Hyun Jo
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part II
ICIC (2)
Springer
2020
Lecture Notes in Computer Science
12464
978-3-030-60801-9
978-3-030-60802-6
https://doi.org/10.1007/978-3-030-60802-6
db/conf/icic/icic2020-2.html
De-Shuang Huang
Prashan Premaratne
Intelligent Computing Methodologies - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part III
ICIC (3)
Springer
2020
Lecture Notes in Computer Science
12465
978-3-030-60795-1
978-3-030-60796-8
https://doi.org/10.1007/978-3-030-60796-8
db/conf/icic/icic2020-3.html
Di Wu 0030
Hong-Wei Yang
De-Shuang Huang
Chang-An Yuan 0001
Xiao Qin 0005
Yang Zhao
Xin-Yong Zhao
Jian-Hong Sun
Omnidirectional Feature Learning for Person Re-Identification.
28402-28411
2019
7
IEEE Access
https://doi.org/10.1109/ACCESS.2019.2901764
db/journals/access/access7.html#WuYHYQZZS19
Wenzheng Bao
Bin Yang 0017
De-Shuang Huang
Dong Wang
Qi Liu 0019
Yuehui Chen
Rong Bao
IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC.
54073-54083
2019
7
IEEE Access
https://doi.org/10.1109/ACCESS.2019.2900275
db/journals/access/access7.html#BaoYHWLCB19
De-Shuang Huang
Guest editorial for special section on the 13th international conference on intelligent computing (ICIC).
1-2
2019
53
Cogn. Syst. Res.
https://doi.org/10.1016/j.cogsys.2018.07.020
db/journals/cogsr/cogsr53.html#Huang19
Di Wu 0030
Si-Jia Zheng
Chang-An Yuan 0001
De-Shuang Huang
A deep model with combined losses for person re-identification.
74-82
2019
54
Cogn. Syst. Res.
https://doi.org/10.1016/j.cogsys.2018.04.003
db/journals/cogsr/cogsr54.html#WuZYH19
Di Wu 0030
Si-Jia Zheng
Wenzheng Bao
Xiao-Ping (Steven) Zhang
Chang-An Yuan 0001
De-Shuang Huang
A novel deep model with multi-loss and efficient training for person re-identification.
69-75
2019
324
Neurocomputing
https://doi.org/10.1016/j.neucom.2018.03.073
db/journals/ijon/ijon324.html#WuZBZYH19
Di Wu 0030
Si-Jia Zheng
Xiao-Ping (Steven) Zhang
Chang-An Yuan 0001
Fei Cheng
Yang Zhao
Yong-Jun Lin
Zhong-Qiu Zhao
Yong-Li Jiang
De-Shuang Huang
Deep learning-based methods for person re-identification: A comprehensive review.
354-371
2019
337
Neurocomputing
https://doi.org/10.1016/j.neucom.2019.01.079
db/journals/ijon/ijon337.html#WuZZYCZLZJH19
Bo Li 0002
Zhang-Tao Fan
Xiao-Long Zhang
De-Shuang Huang
Robust dimensionality reduction via feature space to feature space distance metric learning.
1-14
2019
112
Neural Networks
https://doi.org/10.1016/j.neunet.2019.01.001
https://www.wikidata.org/entity/Q64117052
db/journals/nn/nn112.html#LiFZH19
De-Shuang Huang
Vitoantonio Bevilacqua
M. Michael Gromiha
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC).
749-750
2019
16
IEEE ACM Trans. Comput. Biol. Bioinform.
3
https://doi.org/10.1109/TCBB.2019.2902324
db/journals/tcbb/tcbb16.html#HuangBG19
Lin Yuan
Lehang Guo
Chang-an Yuan 0001
Youhua Zhang
Kyungsook Han
Asoke K. Nandi
Barry Honig
De-Shuang Huang
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer.
782-791
2019
16
IEEE ACM Trans. Comput. Biol. Bioinform.
3
https://doi.org/10.1109/TCBB.2018.2866836
https://www.wikidata.org/entity/Q91099433
db/journals/tcbb/tcbb16.html#YuanGYZHNHH19
Qinhu Zhang
Lin Zhu 0008
De-Shuang Huang
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.
1184-1192
2019
16
IEEE ACM Trans. Comput. Biol. Bioinform.
4
https://doi.org/10.1109/TCBB.2018.2819660
https://www.wikidata.org/entity/Q89556115
db/journals/tcbb/tcbb16.html#ZhangZH19
Xianpeng Liang
Di Wu 0030
De-Shuang Huang
Image Co-Segmentation via Locally Biased Discriminative Clustering.
2228-2233
2019
31
IEEE Trans. Knowl. Data Eng.
11
https://doi.org/10.1109/TKDE.2019.2911942
db/journals/tkde/tkde31.html#LiangWH19
Andong Li
Di Wu 0030
De-Shuang Huang
Lijun Zhang
Convolutional Capsule-Based Network for Person Re-identification.
304-311
2019
ICIC (1)
https://doi.org/10.1007/978-3-030-26763-6_29
conf/icic/2019-1
db/conf/icic/icic2019-1.html#Li0HZ19
Jiangchuan Wei
Hanli Wang
Yun Yi
Qinyu Li
Deshuang Huang
P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos.
300-304
2019
ICIP
https://doi.org/10.1109/ICIP.2019.8802979
conf/icip/2019
db/conf/icip/icip2019.html#WeiWYLH19
Yihao Chen
Hanli Wang
Qinyu Li
Deshuang Huang
Data Driven Regularization for Convolutional Neural Networks on Image Classification.
1-5
2019
ISCAS
https://doi.org/10.1109/ISCAS.2019.8702224
conf/iscas/2019
db/conf/iscas/iscas2019.html#ChenWLH19
De-Shuang Huang
Vitoantonio Bevilacqua
Prashan Premaratne
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part I
ICIC (1)
Springer
2019
Lecture Notes in Computer Science
11643
978-3-030-26762-9
978-3-030-26763-6
https://doi.org/10.1007/978-3-030-26763-6
db/conf/icic/icic2019-1.html
De-Shuang Huang
Kang-Hyun Jo
Zhi-Kai Huang
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part II
ICIC (2)
Springer
2019
Lecture Notes in Computer Science
11644
978-3-030-26968-5
978-3-030-26969-2
https://doi.org/10.1007/978-3-030-26969-2
db/conf/icic/icic2019-2.html
De-Shuang Huang
Zhi-Kai Huang
Abir Hussain
Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III
ICIC (3)
Springer
2019
Lecture Notes in Computer Science
11645
978-3-030-26765-0
978-3-030-26766-7
https://doi.org/10.1007/978-3-030-26766-7
db/conf/icic/icic2019-3.html
Di Wu 0030
Chao Wang 0071
Yong Wu
De-Shuang Huang
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification.
2019
abs/1911.10335
CoRR
http://arxiv.org/abs/1911.10335
db/journals/corr/corr1911.html#abs-1911-10335
Chen Peng
Liang Zou
De-Shuang Huang
Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion.
59152-59162
2018
6
IEEE Access
https://doi.org/10.1109/ACCESS.2018.2873013
db/journals/access/access6.html#PengZH18
Bin Liu 0014
Fan Yang
De-Shuang Huang
Kuo-Chen Chou
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.
33-40
2018
34
Bioinform.
1
https://doi.org/10.1093/bioinformatics/btx579
https://www.wikidata.org/entity/Q47316901
db/journals/bioinformatics/bioinformatics34.html#LiuYHC18
Bin Liu 0014
Fan Weng
De-Shuang Huang
Kuo-Chen Chou
iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC.
3086-3093
2018
34
Bioinform.
18
https://doi.org/10.1093/bioinformatics/bty312
https://www.wikidata.org/entity/Q88441179
db/journals/bioinformatics/bioinformatics34.html#LiuWHC18
Bin Liu 0014
Kai Li
De-Shuang Huang
Kuo-Chen Chou
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach.
3835-3842
2018
34
Bioinform.
22
https://doi.org/10.1093/bioinformatics/bty458
https://www.wikidata.org/entity/Q89022178
db/journals/bioinformatics/bioinformatics34.html#LiuLHC18
Xianpeng Liang
De-Shuang Huang
Image segmentation fusion using weakly supervised trace-norm multi-task learning method.
1079-1085
2018
12
IET Image Process.
7
https://doi.org/10.1049/iet-ipr.2017.1061
db/journals/iet-ipr/iet-ipr12.html#LiangH18
Lin Zhu 0008
Hong-Bo Zhang
De-Shuang Huang
LMMO: A Large Margin Approach for Refining Regulatory Motifs.
913-925
2018
15
IEEE ACM Trans. Comput. Biol. Bioinform.
3
https://doi.org/10.1109/TCBB.2017.2691325
https://doi.ieeecomputersociety.org/10.1109/TCBB.2017.2691325
https://dl.acm.org/doi/10.1109/TCBB.2017.2691325
https://www.wikidata.org/entity/Q38846153
db/journals/tcbb/tcbb15.html#ZhuZH18
Xianpeng Liang
Lin Zhu 0008
De-Shuang Huang
Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning.
1016-1021
2018
15
IEEE ACM Trans. Comput. Biol. Bioinform.
3
https://doi.org/10.1109/TCBB.2017.2690427
https://doi.ieeecomputersociety.org/10.1109/TCBB.2017.2690427
https://dl.acm.org/doi/10.1109/TCBB.2017.2690427
https://www.wikidata.org/entity/Q38846156
db/journals/tcbb/tcbb15.html#LiangZH18
De-Shuang Huang
Vitoantonio Bevilacqua
M. Michael Gromiha
Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC).
1433-1435
2018
15
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2018.2848322
https://doi.ieeecomputersociety.org/10.1109/TCBB.2018.2848322
https://dl.acm.org/doi/10.1109/TCBB.2018.2848322
https://www.wikidata.org/entity/Q58225333
db/journals/tcbb/tcbb15.html#HuangBG18
Wenzheng Bao
Chang-An Yuan 0001
Youhua Zhang
Kyungsook Han
Asoke K. Nandi
Barry Honig
De-Shuang Huang
Mutli-Features Prediction of Protein Translational Modification Sites.
1453-1460
2018
15
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2017.2752703
https://doi.ieeecomputersociety.org/10.1109/TCBB.2017.2752703
https://dl.acm.org/doi/10.1109/TCBB.2017.2752703
https://www.wikidata.org/entity/Q47667267
db/journals/tcbb/tcbb15.html#BaoYZHNHH18
Hongbo Zhang
Lin Zhu 0008
De-Shuang Huang
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.
1810-1820
2018
15
IEEE ACM Trans. Comput. Biol. Bioinform.
6
https://doi.org/10.1109/TCBB.2016.2561930
https://doi.ieeecomputersociety.org/10.1109/TCBB.2016.2561930
https://dl.acm.org/doi/10.1109/TCBB.2016.2561930
https://www.wikidata.org/entity/Q39778549
db/journals/tcbb/tcbb15.html#ZhangZH18
Basma Abdulaimma
Abir Hussain
Paul Fergus
Dhiya Al-Jumeily
Paulo Lisboa
De-Shuang Huang
Naeem Radi
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.
1-7
2018
CEC
https://doi.org/10.1109/CEC.2018.8477647
conf/cec/2018
db/conf/cec/cec2018.html#AbdulaimmaHFALH18
Si-Jia Zheng
Di Wu 0030
Fei Cheng
Yang Zhao
Chang-An Yuan 0001
Xiao Qin 0005
De-Shuang Huang
A Simple and Effective Deep Model for Person Re-identification.
223-228
2018
ICIC (3)
https://doi.org/10.1007/978-3-319-95957-3_24
conf/icic/2018-3
db/conf/icic/icic2018-3.html#ZhengWCZYQH18
Di Wu 0030
Si-Jia Zheng
Fei Cheng
Yang Zhao
Chang-An Yuan 0001
Xiao Qin 0005
Yong-Li Jiang
De-Shuang Huang
A Hybrid Deep Model for Person Re-Identification.
229-234
2018
ICIC (3)
https://doi.org/10.1007/978-3-319-95957-3_25
conf/icic/2018-3
db/conf/icic/icic2018-3.html#WuZCZYQJH18
De-Shuang Huang
Vitoantonio Bevilacqua
Prashan Premaratne
Phalguni Gupta
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I
ICIC (1)
Springer
2018
Lecture Notes in Computer Science
10954
978-3-319-95929-0
978-3-319-95930-6
https://doi.org/10.1007/978-3-319-95930-6
db/conf/icic/icic2018-1.html
De-Shuang Huang
Kang-Hyun Jo
Xiaolong Zhang 0002
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II
ICIC (2)
Springer
2018
Lecture Notes in Computer Science
10955
978-3-319-95932-0
978-3-319-95933-7
https://doi.org/10.1007/978-3-319-95933-7
db/conf/icic/icic2018-2.html
De-Shuang Huang
M. Michael Gromiha
Kyungsook Han
Abir Hussain
Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III
ICIC (3)
Springer
2018
Lecture Notes in Computer Science
10956
978-3-319-95956-6
978-3-319-95957-3
https://doi.org/10.1007/978-3-319-95957-3
db/conf/icic/icic2018-3.html
Di Wu 0030
Kun Zhang
Si-Jia Zheng
De-Shuang Huang
Random Occlusion-recovery for Person Re-identification.
2018
abs/1809.09970
CoRR
http://arxiv.org/abs/1809.09970
db/journals/corr/corr1809.html#abs-1809-09970
Di Wu 0030
Hong-Wei Yang
De-Shuang Huang
Omni-directional Feature Learning for Person Re-identification.
2018
abs/1812.05319
CoRR
http://arxiv.org/abs/1812.05319
db/journals/corr/corr1812.html#abs-1812-05319
Lin Zhu 0008
Hong-Bo Zhang
De-Shuang Huang
Direct AUC optimization of regulatory motifs.
i243-i251
2017
33
Bioinform.
14
https://doi.org/10.1093/bioinformatics/btx255
https://www.wikidata.org/entity/Q47322233
db/journals/bioinformatics/bioinformatics33.html#ZhuZH17
Wenzheng Bao
Zhichao Jiang
De-Shuang Huang
Novel human microbe-disease association prediction using network consistency projection.
173-181
2017
18
BMC Bioinform.
16
https://doi.org/10.1186/s12859-017-1968-2
https://www.wikidata.org/entity/Q47203079
db/journals/bmcbi/bmcbi18S.html#BaoJH17
Zhen Shen
You-Hua Zhang
Kyungsook Han
Asoke K. Nandi
Barry Honig
De-Shuang Huang
miRNA-Disease Association Prediction with Collaborative Matrix Factorization.
2498957:1-2498957:9
2017
2017
Complex.
https://doi.org/10.1155/2017/2498957
db/journals/complexity/complexity2017.html#ShenZHNHH17
Lin Yuan
Chang-An Yuan 0001
De-Shuang Huang
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis.
5024867:1-5024867:10
2017
2017
Complex.
https://doi.org/10.1155/2017/5024867
db/journals/complexity/complexity2017.html#YuanYH17
Wenzheng Bao
Zhenhua Huang 0005
Chang-An Yuan 0001
De-Shuang Huang
Pupylation sites prediction with ensemble classification model.
91-104
2017
18
Int. J. Data Min. Bioinform.
2
https://doi.org/10.1504/IJDMB.2017.10007470
db/journals/ijdmb/ijdmb18.html#BaoHYH17
Lin Zhu 0008
Suping Deng
De-Shuang Huang
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications.
1-2
2017
228
Neurocomputing
https://doi.org/10.1016/j.neucom.2016.10.037
db/journals/ijon/ijon228.html#ZhuDH17
Xianpeng Liang
Lin Zhu 0008
De-Shuang Huang
Multi-task ranking SVM for image cosegmentation.
126-136
2017
247
Neurocomputing
https://doi.org/10.1016/j.neucom.2017.03.060
db/journals/ijon/ijon247.html#LiangZH17
Byungmin Kim
Saud Alguwaizani
Xiang Zhou
De-Shuang Huang
Byunkyu Park
Kyungsook Han
An improved method for predicting interactions between virus and human proteins.
1650024:1-1650024:17
2017
15
J. Bioinform. Comput. Biol.
1
https://doi.org/10.1142/S0219720016500244
https://www.wikidata.org/entity/Q38445033
db/journals/jbcb/jbcb15.html#KimAZHPH17
Fei Han 0001
Chun Yang
Ya-Qi Wu
Jiansheng Zhu
Qing-Hua Ling
Yuqing Song 0001
De-Shuang Huang
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
85-96
2017
14
IEEE ACM Trans. Comput. Biol. Bioinform.
1
https://doi.org/10.1109/TCBB.2015.2465906
https://doi.ieeecomputersociety.org/10.1109/TCBB.2015.2465906
https://dl.acm.org/doi/10.1109/TCBB.2015.2465906
https://www.wikidata.org/entity/Q31160704
db/journals/tcbb/tcbb14.html#HanYWZLSH17
Lin Zhu 0008
Suping Deng
Zhu-Hong You
De-Shuang Huang
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
345-352
2017
14
IEEE ACM Trans. Comput. Biol. Bioinform.
2
https://doi.org/10.1109/TCBB.2015.2407393
https://doi.ieeecomputersociety.org/10.1109/TCBB.2015.2407393
https://dl.acm.org/doi/10.1109/TCBB.2015.2407393
https://www.wikidata.org/entity/Q38860757
db/journals/tcbb/tcbb14.html#ZhuDYH17
Feng He 0004
Guanghui Zhu
Yin-Ying Wang
Xing-Ming Zhao
De-Shuang Huang
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data.
678-686
2017
14
IEEE ACM Trans. Comput. Biol. Bioinform.
3
https://doi.org/10.1109/TCBB.2016.2550443
https://doi.ieeecomputersociety.org/10.1109/TCBB.2016.2550443
https://dl.acm.org/doi/10.1109/TCBB.2016.2550443
https://www.wikidata.org/entity/Q35989258
db/journals/tcbb/tcbb14.html#HeZWZH17
De-Shuang Huang
Vitoantonio Bevilacqua
M. Michael Gromiha
Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC).
1104-1105
2017
14
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2017.2677098
https://doi.ieeecomputersociety.org/10.1109/TCBB.2017.2677098
https://dl.acm.org/doi/10.1109/TCBB.2017.2677098
https://www.wikidata.org/entity/Q58225359
db/journals/tcbb/tcbb14.html#HuangBG17
Su-Ping Deng
Shaolong Cao
De-Shuang Huang
Yu-Ping Wang 0002
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.
1147-1153
2017
14
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2016.2607717
https://doi.ieeecomputersociety.org/10.1109/TCBB.2016.2607717
https://dl.acm.org/doi/10.1109/TCBB.2016.2607717
https://www.wikidata.org/entity/Q31156095
db/journals/tcbb/tcbb14.html#DengCHW17
Lin Yuan
Lin Zhu 0008
Wei-Li Guo
Xiaobo Zhou
Youhua Zhang
Zhenhua Huang 0005
De-Shuang Huang
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping.
1154-1164
2017
14
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2016.2609420
https://doi.ieeecomputersociety.org/10.1109/TCBB.2016.2609420
https://dl.acm.org/doi/10.1109/TCBB.2016.2609420
https://www.wikidata.org/entity/Q47998766
db/journals/tcbb/tcbb14.html#YuanZGZZHH17
Hongbo Zhang
De-Shuang Huang
Soft-bag based motif discovery for ChIP-seq datasets.
146-149
2017
BIBM
https://doi.org/10.1109/BIBM.2017.8217641
https://doi.ieeecomputersociety.org/10.1109/BIBM.2017.8217641
conf/bibm/2017
db/conf/bibm/bibm2017.html#ZhangH17
Chong-Ya Li
Lin Zhu 0008
Wenzheng Bao
Yong-Li Jiang
Chang-An Yuan 0001
De-Shuang Huang
Convex local sensitive low rank matrix approximation.
256-261
2017
IJCNN
https://doi.org/10.1109/IJCNN.2017.7965863
conf/ijcnn/2017
db/conf/ijcnn/ijcnn2017.html#LiZBJYH17
Dayuan Li
Lin Zhu 0008
Wenzheng Bao
Fei Cheng
Yi Ren
De-Shuang Huang
Cross-validated smooth multi-instance learning.
1321-1325
2017
IJCNN
https://doi.org/10.1109/IJCNN.2017.7966005
conf/ijcnn/2017
db/conf/ijcnn/ijcnn2017.html#LiZBCRH17
De-Shuang Huang
Vitoantonio Bevilacqua
Prashan Premaratne
Phalguni Gupta
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I
ICIC (1)
Springer
2017
Lecture Notes in Computer Science
10361
978-3-319-63308-4
978-3-319-63309-1
https://doi.org/10.1007/978-3-319-63309-1
db/conf/icic/icic2017-1.html
De-Shuang Huang
Kang-Hyun Jo
Juan Carlos Figueroa-García
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II
ICIC (2)
Springer
2017
Lecture Notes in Computer Science
10362
978-3-319-63311-4
978-3-319-63312-1
https://doi.org/10.1007/978-3-319-63312-1
db/conf/icic/icic2017-2.html
De-Shuang Huang
Abir Hussain
Kyungsook Han
M. Michael Gromiha
Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III
ICIC (3)
Springer
2017
Lecture Notes in Computer Science
10363
978-3-319-63314-5
978-3-319-63315-2
https://doi.org/10.1007/978-3-319-63315-2
db/conf/icic/icic2017-3.html
Wei-Li Guo
Lin Zhu 0008
Suping Deng
Xing-Ming Zhao
Deshuang Huang
Understanding tissue-specificity with human tissue-specific regulatory networks.
070105:1-070105:10
2016
59
Sci. China Inf. Sci.
7
https://doi.org/10.1007/s11432-016-5582-0
db/journals/chinaf/chinaf59.html#GuoZDZH16
Yoonsuck Choe
Asim Roy
Haibo He
De-Shuang Huang
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
8-10
2016
11
IEEE Comput. Intell. Mag.
1
https://doi.org/10.1109/MCI.2015.2472115
db/journals/cim/cim11.html#ChoeRHH16
Lin Zhu 0008
Vitoantonio Bevilacqua
De-Shuang Huang
Special issue on Advanced Intelligent Computing Methodologies and Applications.
1-2
2016
188
Neurocomputing
https://doi.org/10.1016/j.neucom.2015.11.047
https://www.wikidata.org/entity/Q58225388
db/journals/ijon/ijon188.html#ZhuBH16
Hai Min
Xiao-Feng Wang
De-Shuang Huang
Wei Jia 0001
A novel dual minimization based level set method for image segmentation.
910-926
2016
214
Neurocomputing
https://doi.org/10.1016/j.neucom.2016.07.023
db/journals/ijon/ijon214.html#MinWHJ16
De-Shuang Huang
Vitoantonio Bevilacqua
M. Michael Gromiha
Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC).
1-3
2016
13
IEEE ACM Trans. Comput. Biol. Bioinform.
1
https://doi.org/10.1109/TCBB.2015.2491058
https://doi.ieeecomputersociety.org/10.1109/TCBB.2015.2491058
https://dl.acm.org/doi/10.1109/TCBB.2015.2491058
https://www.wikidata.org/entity/Q50625669
db/journals/tcbb/tcbb13.html#HuangBG16
Suping Deng
Lin Zhu 0008
De-Shuang Huang
Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks.
27-35
2016
13
IEEE ACM Trans. Comput. Biol. Bioinform.
1
https://doi.org/10.1109/TCBB.2015.2476790
https://doi.ieeecomputersociety.org/10.1109/TCBB.2015.2476790
https://dl.acm.org/doi/10.1109/TCBB.2015.2476790
https://www.wikidata.org/entity/Q38457118
db/journals/tcbb/tcbb13.html#DengZH16
Lin Zhu 0008
Wei-Li Guo
Suping Deng
De-Shuang Huang
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.
55-63
2016
13
IEEE ACM Trans. Comput. Biol. Bioinform.
1
https://doi.org/10.1109/TCBB.2015.2465893
https://doi.ieeecomputersociety.org/10.1109/TCBB.2015.2465893
https://dl.acm.org/doi/10.1109/TCBB.2015.2465893
https://www.wikidata.org/entity/Q31046958
db/journals/tcbb/tcbb13.html#ZhuGDH16
Wen Jiang 0001
De-Shuang Huang
Shenghong Li 0001
Random Walk-Based Solution to Triple Level Stochastic Point Location Problem.
1438-1451
2016
46
IEEE Trans. Cybern.
6
https://doi.org/10.1109/TCYB.2015.2446198
https://www.wikidata.org/entity/Q50578203
db/journals/tcyb/tcyb46.html#JiangHL16
Lin Zhu 0008
Ning Li
Wenzheng Bao
De-Shuang Huang
Learning regulatory motifs by direct optimization of Fisher Exact Test Score.
86-91
2016
BIBM
https://doi.org/10.1109/BIBM.2016.7822497
https://doi.ieeecomputersociety.org/10.1109/BIBM.2016.7822497
conf/bibm/2016
db/conf/bibm/bibm2016.html#ZhuLBH16
Wenzheng Bao
Lin Zhu 0008
De-Shuang Huang
ILSES: Identification lysine succinylation-sites with ensemble classification.
274-277
2016
BIBM
https://doi.org/10.1109/BIBM.2016.7822530
https://doi.ieeecomputersociety.org/10.1109/BIBM.2016.7822530
conf/bibm/2016
db/conf/bibm/bibm2016.html#BaoZH16
Wei-Li Guo
Kyungsook Han
De-Shuang Huang
Analysis of MicroRNA and Transcription Factor Regulation.
278-284
2016
ICIC (1)
https://doi.org/10.1007/978-3-319-42291-6_27
conf/icic/2016-1
db/conf/icic/icic2016-1.html#GuoHH16
Wei-Li Guo
Kyungsook Han
De-Shuang Huang
Prediction of Target Genes Based on Multiway Integration of High-Throughput Data.
455-460
2016
ICIC (1)
https://doi.org/10.1007/978-3-319-42291-6_46
conf/icic/2016-1
db/conf/icic/icic2016-1.html#GuoHH16a
Lin Yuan
Kyungsook Han
De-Shuang Huang
Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression.
862-868
2016
ICIC (3)
https://doi.org/10.1007/978-3-319-42297-8_80
conf/icic/2016-3
db/conf/icic/icic2016-3.html#YuanHH16
Wenzheng Bao
Zhichao Jiang
Kyungsook Han
De-Shuang Huang
Prediction of Lysine Acetylation Sites Based on Neural Network.
873-879
2016
ICIC (2)
https://doi.org/10.1007/978-3-319-42294-7_77
conf/icic/2016-2
db/conf/icic/icic2016-2.html#BaoJHH16
Gang Wang
De-Shuang Huang
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network.
471-476
2016
IJCNN
https://doi.org/10.1109/IJCNN.2016.7727236
conf/ijcnn/2016
db/conf/ijcnn/ijcnn2016.html#WangH16
Qing-Yi Liu
Lin Zhu 0008
De-Shuang Huang
Gang Wang
Xiao-Ping (Steven) Zhang
Li Shang
Zhi-Kai Huang
Visual data completion via local sensitive low rank tensor learning.
2693-2698
2016
IJCNN
https://doi.org/10.1109/IJCNN.2016.7727537
conf/ijcnn/2016
db/conf/ijcnn/ijcnn2016.html#LiuZHWZSH16
De-Shuang Huang
Vitoantonio Bevilacqua
Prashan Premaratne
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part I
ICIC (1)
Springer
2016
Lecture Notes in Computer Science
9771
978-3-319-42290-9
https://doi.org/10.1007/978-3-319-42291-6
db/conf/icic/icic2016-1.html
De-Shuang Huang
Kang-Hyun Jo
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II
ICIC (2)
Springer
2016
Lecture Notes in Computer Science
9772
978-3-319-42293-0
https://doi.org/10.1007/978-3-319-42294-7
db/conf/icic/icic2016-2.html
De-Shuang Huang
Kyungsook Han
Abir Hussain
Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III
ICIC (3)
Springer
2016
Lecture Notes in Computer Science
9773
978-3-319-42296-1
https://doi.org/10.1007/978-3-319-42297-8
db/conf/icic/icic2016-3.html
Xing-Ming Zhao
Keqin Liu
Guanghui Zhu
Feng He 0004
Béatrice Duval
Jean-Michel Richer
De-Shuang Huang
Changjun Jiang
Jin-Kao Hao
Luonan Chen
Identifying cancer-related microRNAs based on gene expression data.
1226-1234
2015
31
Bioinform.
8
https://doi.org/10.1093/bioinformatics/btu811
https://www.wikidata.org/entity/Q30878074
db/journals/bioinformatics/bioinformatics31.html#ZhaoLZHDRHJHC15
Zhiwei Ji
Guanmin Meng
Deshuang Huang
Xiao-Qiang Yue
Bing Wang 0004
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma.
846942:1-846942:12
2015
2015
Comput. Math. Methods Medicine
https://doi.org/10.1155/2015/846942
https://www.wikidata.org/entity/Q36249939
db/journals/cmmm/cmmm2015.html#JiMHYW15
Suping Deng
De-Shuang Huang
An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene.
63-74
2015
13
Int. J. Data Min. Bioinform.
1
https://doi.org/10.1504/IJDMB.2015.070841
https://www.wikidata.org/entity/Q35830872
db/journals/ijdmb/ijdmb13.html#DengH15
De-Shuang Huang
Special issue on advanced intelligent computing theories and applications.
953-954
2015
151
Neurocomputing
https://doi.org/10.1016/j.neucom.2014.10.024
db/journals/ijon/ijon151.html#Huang15a
Hai Min
Xiao-Feng Wang
De-Shuang Huang
Jing Jin
Hongzhi Wang 0007
Hai Li 0006
Level set method for image segmentation based on moment competition.
033020
2015
24
J. Electronic Imaging
3
https://doi.org/10.1117/1.JEI.24.3.033020
db/journals/jei/jei24.html#MinWHJWL15
Lin Zhu 0008
Wei-Li Guo
De-Shuang Huang
Canyi Lu
Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding.
141-144
2015
BIBM
https://doi.org/10.1109/BIBM.2015.7359671
https://doi.ieeecomputersociety.org/10.1109/BIBM.2015.7359671
conf/bibm/2015
db/conf/bibm/bibm2015.html#ZhuGHL15
Hongbo Zhang
Lin Zhu 0008
Deshuang Huang
DiscMLA: AUC-based discriminative motif learning.
250-255
2015
BIBM
https://doi.org/10.1109/BIBM.2015.7359688
https://doi.ieeecomputersociety.org/10.1109/BIBM.2015.7359688
conf/bibm/2015
db/conf/bibm/bibm2015.html#ZhangZH15
Fei Han 0001
Dan Yang
Qing-Hua Ling
De-Shuang Huang
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
1-7
2015
IJCNN
https://doi.org/10.1109/IJCNN.2015.7280389
conf/ijcnn/2015
db/conf/ijcnn/ijcnn2015.html#HanYLH15
De-Shuang Huang
Vitoantonio Bevilacqua
Prashan Premaratne
Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part I
ICIC (1)
Springer
2015
Lecture Notes in Computer Science
9225
978-3-319-22179-3
https://doi.org/10.1007/978-3-319-22180-9
db/conf/icic/icic2015-1.html
De-Shuang Huang
Kang-Hyun Jo
Abir Jaafar Hussain
Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II
ICIC (2)
Springer
2015
Lecture Notes in Computer Science
9226
978-3-319-22185-4
https://doi.org/10.1007/978-3-319-22186-1
db/conf/icic/icic2015-2.html
De-Shuang Huang
Kyungsook Han
Advanced Intelligent Computing Theories and Applications - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III
ICIC (3)
Springer
2015
Lecture Notes in Computer Science
9227
978-3-319-22052-9
https://doi.org/10.1007/978-3-319-22053-6
db/conf/icic/icic2015-3.html
Canyi Lu
De-Shuang Huang
Optimized Projection for Sparse Representation Based Classification.
2015
abs/1502.00115
CoRR
http://arxiv.org/abs/1502.00115
db/journals/corr/corr1502.html#LuH15
De-Shuang Huang
Special issue on advanced intelligent computing theories and methodologies.
1-2
2014
137
Neurocomputing
https://doi.org/10.1016/j.neucom.2014.02.009
db/journals/ijon/ijon137.html#Huang14
Lin Zhu 0008
De-Shuang Huang
A Rayleigh-Ritz style method for large-scale discriminant analysis.
1698-1708
2014
47
Pattern Recognit.
4
https://doi.org/10.1016/j.patcog.2013.10.007
db/journals/pr/pr47.html#ZhuH14
Lin Zhu 0008
Suping Deng
De-Shuang Huang
A two-stage geometric method for detecting unreliable links in protein-protein networks.
31-36
2014
BIBM
https://doi.org/10.1109/BIBM.2014.6999123
https://doi.ieeecomputersociety.org/10.1109/BIBM.2014.6999123
conf/bibm/2014
db/conf/bibm/bibm2014.html#ZhuDH14
Xiao Wang 0009
Guo-Zheng Li 0001
Qiuwen Zhang
Deshuang Huang
MultiP-SChlo: Multi-label protein subchloroplast localization prediction.
86-89
2014
BIBM
https://doi.org/10.1109/BIBM.2014.6999133
https://doi.ieeecomputersociety.org/10.1109/BIBM.2014.6999133
conf/bibm/2014
db/conf/bibm/bibm2014.html#WangLZH14
Jair Cervantes
De-Shuang Huang
Farid García-Lamont
Asdrúbal López Chau
A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.
782-788
2014
ICIC (1)
https://doi.org/10.1007/978-3-319-09333-8_85
conf/icic/2014-1
db/conf/icic/icic2014-1.html#CervantesHGC14
Jing-Hua Yuan
De-Shuang Huang
Hao-Dong Zhu
Yong Gan
Completed hybrid local binary pattern for texture classification.
2050-2057
2014
IJCNN
https://doi.org/10.1109/IJCNN.2014.6889851
conf/ijcnn/2014
db/conf/ijcnn/ijcnn2014.html#YuanHZG14
Lin Zhu 0008
Zhu-Hong You
De-Shuang Huang
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
138-148
2014
ISBRA
https://doi.org/10.1007/978-3-319-08171-7_13
conf/isbra/2014
db/conf/isbra/isbra2014.html#ZhuYH14
Hai Min
Xiao-Feng Wang
De-Shuang Huang
A novel texture image segmentation model based on multi-scale structure.
1-6
2014
MFI
https://doi.org/10.1109/MFI.2014.6997724
conf/mfi/2014
db/conf/mfi/mfi2014.html#MinWH14
De-Shuang Huang
Vitoantonio Bevilacqua
Prashan Premaratne
Intelligent Computing Theory - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings
2014
Springer
Lecture Notes in Computer Science
8588
https://doi.org/10.1007/978-3-319-09333-8
978-3-319-09332-1
ICIC (1)
db/conf/icic/icic2014-1.html
De-Shuang Huang
Kang-Hyun Jo
Ling Wang 0001
Intelligent Computing Methodologies - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings
2014
Springer
Lecture Notes in Computer Science
8589
https://doi.org/10.1007/978-3-319-09339-0
978-3-319-09338-3
ICIC (2)
db/conf/icic/icic2014-2.html
De-Shuang Huang
Kyungsook Han
M. Michael Gromiha
Intelligent Computing in Bioinformatics - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings
2014
Springer
Lecture Notes in Computer Science
8590
https://doi.org/10.1007/978-3-319-09330-7
978-3-319-09329-1
ICIC (3)
db/conf/icic/icic2014-3.html
Can-Yi Lu
Hai Min
Zhong-Qiu Zhao
Lin Zhu 0008
De-Shuang Huang
Shuicheng Yan
Robust and Efficient Subspace Segmentation via Least Squares Regression.
2014
abs/1404.6736
CoRR
http://arxiv.org/abs/1404.6736
db/journals/corr/corr1404.html#LuMZZHY14
Can-Yi Lu
De-Shuang Huang
Optimized projections for sparse representation based classification.
213-219
2013
113
Neurocomputing
https://doi.org/10.1016/j.neucom.2013.01.009
db/journals/ijon/ijon113.html#LuH13
Jian-Xun Mi
De-Shuang Huang
Bing Wang 0004
Xingjie Zhu
The nearest-farthest subspace classification for face recognition.
241-250
2013
113
Neurocomputing
https://doi.org/10.1016/j.neucom.2013.01.003
db/journals/ijon/ijon113.html#MiHWZ13
De-Shuang Huang
DeLiang Wang
Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011).
1-2
2013
116
Neurocomputing
https://doi.org/10.1016/j.neucom.2012.09.007
db/journals/ijon/ijon116.html#HuangW13a
Lin Zhu 0008
De-Shuang Huang
Efficient optimally regularized discriminant analysis.
12-21
2013
117
Neurocomputing
https://doi.org/10.1016/j.neucom.2012.11.025
db/journals/ijon/ijon117.html#ZhuH13
Lin Zhu 0008
Zhu-Hong You
De-Shuang Huang
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding.
99-107
2013
121
Neurocomputing
https://doi.org/10.1016/j.neucom.2013.04.027
db/journals/ijon/ijon121.html#ZhuYH13
Hong-Jie Yu
De-Shuang Huang
Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids.
457-467
2013
10
IEEE ACM Trans. Comput. Biol. Bioinform.
2
https://doi.org/10.1109/TCBB.2013.10
https://doi.ieeecomputersociety.org/10.1109/TCBB.2013.10
https://dl.acm.org/doi/10.1109/TCBB.2013.10
https://www.wikidata.org/entity/Q47821247
db/journals/tcbb/tcbb10.html#YuH13
Hong-Jie Yu
De-Shuang Huang
Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil.
503-511
2013
17
IEEE J. Biomed. Health Informatics
3
https://doi.org/10.1109/TITB.2012.2227146
https://www.wikidata.org/entity/Q45356280
db/journals/titb/titb17.html#YuH13
Suping Deng
Jing-Hua Yuan
Deshuang Huang
Zhen Wang
SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method.
29-34
2013
BIBM
https://doi.org/10.1109/BIBM.2013.6732455
https://doi.ieeecomputersociety.org/10.1109/BIBM.2013.6732455
conf/bibm/2013
db/conf/bibm/bibm2013.html#DengYHW13
Bing Wang 0004
De-Shuang Huang
Dataset reconstruction for protein interface identification using manifold learning method.
398-403
2013
BIBM
https://doi.org/10.1109/BIBM.2013.6732525
https://doi.ieeecomputersociety.org/10.1109/BIBM.2013.6732525
conf/bibm/2013
db/conf/bibm/bibm2013.html#WangH13
Jair Cervantes
De-Shuang Huang
Xiaoou Li
Wen Yu 0001
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.
342-349
2013
CIARP (2)
https://doi.org/10.1007/978-3-642-41827-3_43
conf/ciarp/2013-2
db/conf/ciarp/ciarp2013-2.html#CervantesHLY13
Kai Yang
Deshuang Huang
Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree.
260-266
2013
ICIC (2)
https://doi.org/10.1007/978-3-642-39482-9_30
conf/icic/2013-2
db/conf/icic/icic2013-2.html#YangH13
De-Shuang Huang
Phalguni Gupta
Ling Wang 0001
M. Michael Gromiha
Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings
2013
Springer
Communications in Computer and Information Science
375
https://doi.org/10.1007/978-3-642-39678-6
978-3-642-39677-9
ICIC (3)
db/conf/icic/icic2013-3.html
De-Shuang Huang
Vitoantonio Bevilacqua
Juan Carlos Figueroa García
Prashan Premaratne
Intelligent Computing Theories - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings
2013
Springer
Lecture Notes in Computer Science
7995
https://doi.org/10.1007/978-3-642-39479-9
https://www.wikidata.org/entity/Q58225412
978-3-642-39478-2
ICIC (1)
db/conf/icic/icic2013-1.html
De-Shuang Huang
Kang-Hyun Jo
Yong-Quan Zhou
Kyungsook Han
Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings
2013
Springer
Lecture Notes in Computer Science
7996
https://doi.org/10.1007/978-3-642-39482-9
978-3-642-39481-2
ICIC (2)
db/conf/icic/icic2013-2.html
M. Michael Gromiha
De-Shuang Huang
Introduction: advanced intelligent computing theories and their applications in bioinformatics.
I1
2012
13
BMC Bioinform.
S-7
https://doi.org/10.1186/1471-2105-13-S7-I1
https://www.wikidata.org/entity/Q31061640
db/journals/bmcbi/bmcbi13S.html#GromihaH12
Ying-Ke Lei
Zhuhong You
Zhen Ji
Lin Zhu 0008
De-Shuang Huang
Assessing and predicting protein interactions by combining manifold embedding with multiple information integration.
S3
2012
13
BMC Bioinform.
S-7
https://doi.org/10.1186/1471-2105-13-S7-S3
https://www.wikidata.org/entity/Q34272604
db/journals/bmcbi/bmcbi13S.html#LeiYJZH12
Shu-Ling Wang
Yi-Hai Zhu
Wei Jia 0001
De-Shuang Huang
Robust Classification Method of Tumor Subtype by Using Correlation Filters.
580-591
2012
9
IEEE ACM Trans. Comput. Biol. Bioinform.
2
https://doi.org/10.1109/TCBB.2011.135
https://doi.ieeecomputersociety.org/10.1109/TCBB.2011.135
https://dl.acm.org/doi/10.1109/TCBB.2011.135
https://www.wikidata.org/entity/Q82187017
db/journals/tcbb/tcbb9.html#WangZJH12
Yang Zhao 0002
De-Shuang Huang
Wei Jia 0001
Completed Local Binary Count for Rotation Invariant Texture Classification.
4492-4497
2012
21
IEEE Trans. Image Process.
10
https://doi.org/10.1109/TIP.2012.2204271
https://www.wikidata.org/entity/Q84406529
db/journals/tip/tip21.html#ZhaoHJ12
Rong-Xiang Hu
Wei Jia 0001
Haibin Ling
Deshuang Huang
Multiscale Distance Matrix for Fast Plant Leaf Recognition.
4667-4672
2012
21
IEEE Trans. Image Process.
11
https://doi.org/10.1109/TIP.2012.2207391
https://www.wikidata.org/entity/Q44719325
db/journals/tip/tip21.html#HuJLH12
De-Shuang Huang
Wen Jiang
A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments.
1489-1500
2012
42
IEEE Trans. Syst. Man Cybern. Part B
5
https://doi.org/10.1109/TSMCB.2012.2192475
https://www.wikidata.org/entity/Q47801798
db/journals/tsmc/tsmcb42.html#HuangJ12
Can-Yi Lu
Hai Min
Zhong-Qiu Zhao
Lin Zhu 0008
De-Shuang Huang
Shuicheng Yan
Robust and Efficient Subspace Segmentation via Least Squares Regression.
347-360
2012
ECCV (7)
https://doi.org/10.1007/978-3-642-33786-4_26
conf/eccv/2012-7
db/conf/eccv/eccv2012-7.html#LuMZZHY12
Lin Zhu 0008
De-Shuang Huang
A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis.
1-8
2012
IJCNN
https://doi.org/10.1109/IJCNN.2012.6252373
conf/ijcnn/2012
db/conf/ijcnn/ijcnn2012.html#ZhuH12
De-Shuang Huang
Phalguni Gupta
Xiang Zhang
Prashan Premaratne
Emerging Intelligent Computing Technology and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings
304
2012
Springer
Communications in Computer and Information Science
https://doi.org/10.1007/978-3-642-31837-5
978-3-642-31836-8
ICIC (3)
db/conf/icic/icic2012-3.html
De-Shuang Huang
Yong Gan
Vitoantonio Bevilacqua
Juan Carlos Figueroa García
Advanced Intelligent Computing - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers
6838
2012
Springer
Lecture Notes in Computer Science
https://doi.org/10.1007/978-3-642-24728-6
978-3-642-24727-9
ICIC (1)
db/conf/icic/icic2011-1.html
De-Shuang Huang
Yong Gan
Phalguni Gupta
M. Michael Gromiha
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers
6839
2012
Springer
Lecture Notes in Computer Science
https://doi.org/10.1007/978-3-642-25944-9
https://www.wikidata.org/entity/Q61263389
978-3-642-25943-2
ICIC (2)
db/conf/icic/icic2011-2.html
De-Shuang Huang
Yong Gan
Prashan Premaratne
Kyungsook Han
Bio-Inspired Computing and Applications - 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11-14. 2011, Revised Selected Papers
6840
2012
Springer
Lecture Notes in Computer Science
https://doi.org/10.1007/978-3-642-24553-4
978-3-642-24552-7
ICIC (3)
db/conf/icic/icic2011-3.html
De-Shuang Huang
Changjun Jiang
Vitoantonio Bevilacqua
Juan Carlos Figueroa García
Intelligent Computing Technology - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings
7389
2012
Springer
Lecture Notes in Computer Science
https://doi.org/10.1007/978-3-642-31588-6
978-3-642-31587-9
ICIC (1)
db/conf/icic/icic2012-1.html
De-Shuang Huang
Jianhua Ma
Kang-Hyun Jo
M. Michael Gromiha
Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings
7390
2012
Springer
Lecture Notes in Computer Science
https://doi.org/10.1007/978-3-642-31576-3
978-3-642-31575-6
ICIC (2)
db/conf/icic/icic2012-2.html
De-Shuang Huang
Special issue on advanced intelligent computing theory and methodology.
1467
2011
27
Comput. Hum. Behav.
5
https://doi.org/10.1016/j.chb.2010.10.010
db/journals/chb/chb27.html#Huang11a
Marcos G. Quiles
DeLiang Wang
Liang Zhao 0001
Roseli A. Francelin Romero
De-Shuang Huang
Selecting salient objects in real scenes: An oscillatory correlation model.
54-64
2011
24
Neural Networks
1
https://doi.org/10.1016/j.neunet.2010.09.002
https://www.wikidata.org/entity/Q51652764
db/journals/nn/nn24.html#QuilesWZRH11
Chun-Hou Zheng 0001
Lei Zhang 0006
To-Yee Ng
Simon Chi-Keung Shiu
De-Shuang Huang
Metasample-Based Sparse Representation for Tumor Classification.
1273-1282
2011
8
IEEE ACM Trans. Comput. Biol. Bioinform.
5
https://doi.org/10.1109/TCBB.2011.20
https://doi.ieeecomputersociety.org/10.1109/TCBB.2011.20
https://dl.acm.org/doi/10.1109/TCBB.2011.20
https://www.wikidata.org/entity/Q43650994
db/journals/tcbb/tcbb8.html#ZhengZNSH11
Chun-Hou Zheng 0001
Lei Zhang 0006
Vincent To-Yee Ng
Simon Chi-Keung Shiu
De-Shuang Huang
Molecular Pattern Discovery Based on Penalized Matrix Decomposition.
1592-1603
2011
8
IEEE ACM Trans. Comput. Biol. Bioinform.
6
https://doi.org/10.1109/TCBB.2011.79
https://doi.ieeecomputersociety.org/10.1109/TCBB.2011.79
https://dl.acm.org/doi/10.1109/TCBB.2011.79
https://www.wikidata.org/entity/Q43459732
db/journals/tcbb/tcbb8.html#ZhengZNSH11a
Zhuhong You
Ying-Ke Lei
Jie Gui
De-Shuang Huang
Xiaobo Zhou
Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data.
2744-2751
2010
26
Bioinform.
21
https://doi.org/10.1093/bioinformatics/btq510
https://www.wikidata.org/entity/Q33684509
db/journals/bioinformatics/bioinformatics26.html#YouLGHZ10
Junfeng Xia
Xing-Ming Zhao
Jiangning Song
De-Shuang Huang
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.
174
2010
11
BMC Bioinform.
https://doi.org/10.1186/1471-2105-11-174
https://www.wikidata.org/entity/Q33551020
db/journals/bmcbi/bmcbi11.html#XiaZSH10
Zhuhong You
Zheng Yin
Kyungsook Han
De-Shuang Huang
Xiaobo Zhou 0001
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.
343
2010
11
BMC Bioinform.
https://doi.org/10.1186/1471-2105-11-343
https://www.wikidata.org/entity/Q33614389
db/journals/bmcbi/bmcbi11.html#YouYHHZ10
Shu-Lin Wang
Xueling Li
Shanwen Zhang
Jie Gui
De-Shuang Huang
Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.
179-189
2010
40
Comput. Biol. Medicine
2
https://doi.org/10.1016/j.compbiomed.2009.11.014
https://www.wikidata.org/entity/Q44111841
db/journals/cbm/cbm40.html#WangLZGH10
Shanwen Zhang
De-Shuang Huang
Shu-Lin Wang
A method of tumor classification based on wavelet packet transforms and neighborhood rough set.
430-437
2010
40
Comput. Biol. Medicine
4
https://doi.org/10.1016/j.compbiomed.2010.02.007
https://www.wikidata.org/entity/Q51714182
db/journals/cbm/cbm40.html#ZhangHW10
Bo Li 0002
Chun-Hou Zheng 0001
De-Shuang Huang
Lei Zhang 0006
Kyungsook Han
Gene expression data classification using locally linear discriminant embedding.
802-810
2010
40
Comput. Biol. Medicine
10
https://doi.org/10.1016/j.compbiomed.2010.08.003
https://www.wikidata.org/entity/Q33701296
db/journals/cbm/cbm40.html#LiZHZH10
Rong-Xiang Hu
Wei Jia 0001
De-Shuang Huang
Ying-Ke Lei
Maximum margin criterion with tensor representation.
1541-1549
2010
73
Neurocomputing
10-12
https://doi.org/10.1016/j.neucom.2009.11.036
db/journals/ijon/ijon73.html#HuJHL10
Jie Gui
Wei Jia 0001
Ling Zhu
Shu-Ling Wang
De-Shuang Huang
Locality preserving discriminant projections for face and palmprint recognition.
2696-2707
2010
73
Neurocomputing
13-15
https://doi.org/10.1016/j.neucom.2010.04.017
db/journals/ijon/ijon73.html#GuiJZWH10
Xing-Ming Zhao
Yiu-ming Cheung
De-Shuang Huang
Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate.
651-666
2010
24
Int. J. Pattern Recognit. Artif. Intell.
4
https://doi.org/10.1142/S0218001410008056
db/journals/ijprai/ijprai24.html#ZhaoCH10
Fei Han 0001
Qing-Hua Ling
De-Shuang Huang
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
255-261
2010
19
Neural Comput. Appl.
2
https://doi.org/10.1007/s00521-009-0274-y
db/journals/nca/nca19.html#HanLH10
Xiaofeng Wang
De-Shuang Huang
Huan Xu
An efficient local Chan-Vese model for image segmentation.
603-618
2010
43
Pattern Recognit.
3
https://doi.org/10.1016/j.patcog.2009.08.002
db/journals/pr/pr43.html#WangHX10
Ying-Ke Lei
Rong-Xiang Hu
Lei Tang
Shanwen Zhang
De-Shuang Huang
Orthogonal linear local spline discriminant embedding for face recognition.
1-8
2010
IJCNN
https://doi.org/10.1109/IJCNN.2010.5596905
conf/ijcnn/2010
db/conf/ijcnn/ijcnn2010.html#LeiHTZH10
Lei Tang
Ying-Ke Lei
Lin Zhu 0008
De-Shuang Huang
Dimensionality reduction based on minimax risk criterion for face recognition.
1-6
2010
IJCNN
https://doi.org/10.1109/IJCNN.2010.5596520
conf/ijcnn/2010
db/conf/ijcnn/ijcnn2010.html#TangLZH10
Shanwen Zhang
Ying-Ke Lei
De-Shuang Huang
Two-dimensional Neighborhood Discriminant Projection.
1-7
2010
IJCNN
https://doi.org/10.1109/IJCNN.2010.5596863
conf/ijcnn/2010
db/conf/ijcnn/ijcnn2010.html#ZhangLH10
De-Shuang Huang
T. Martin McGinnity
Laurent Heutte
Xiao-Ping (Steven) Zhang
Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings
93
2010
https://doi.org/10.1007/978-3-642-14831-6
978-3-642-14830-9
ICIC (3)
Communications in Computer and Information Science
Springer
db/conf/icic/icic2010-3.html
De-Shuang Huang
Zhongming Zhao
Vitoantonio Bevilacqua
Juan Carlos Figueroa García
Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings
2010
https://doi.org/10.1007/978-3-642-14922-1
https://www.wikidata.org/entity/Q59044590
6215
978-3-642-14921-4
ICIC (1)
Lecture Notes in Computer Science
Springer
db/conf/icic/icic2010-1.html
De-Shuang Huang
Xiang Zhang
Carlos A. Reyes García
Lei Zhang 0006
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings
6216
https://doi.org/10.1007/978-3-642-14932-0
978-3-642-14931-3
2010
ICIC (2)
Lecture Notes in Computer Science
Springer
db/conf/icic/icic2010-2.html
Jisu Kim
De-Shuang Huang
Kyungsook Han
Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting.
2009
10
BMC Bioinform.
S-1
https://doi.org/10.1186/1471-2105-10-S1-S57
https://www.wikidata.org/entity/Q33407900
db/journals/bmcbi/bmcbi10S.html#KimHH09
Bo Li 0002
Chao Wang 0071
De-Shuang Huang
Supervised feature extraction based on orthogonal discriminant projection.
191-196
2009
73
Neurocomputing
1-3
https://doi.org/10.1016/j.neucom.2008.09.030
db/journals/ijon/ijon73.html#LiWH09
Ngoc Thanh Nguyen 0001
De-Shuang Huang
Knowledge Management for Autonomous Systems and Computational Intelligence.
704
2009
15
J. Univers. Comput. Sci.
4
http://www.jucs.org/jucs_15_4/knowledge_management_for_autonomous
db/journals/jucs/jucs15.html#NguyenH09
De-Shuang Huang
Advanced intelligent computing theory and methodology.
781
2009
30
Pattern Recognit. Lett.
9
https://doi.org/10.1016/j.patrec.2009.04.011
db/journals/prl/prl30.html#Huang09
Chun-Hou Zheng 0001
De-Shuang Huang
Lei Zhang 0006
Xiangzhen Kong
Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection.
599-607
2009
13
IEEE Trans. Inf. Technol. Biomed.
4
https://doi.org/10.1109/TITB.2009.2018115
https://www.wikidata.org/entity/Q51839453
db/journals/titb/titb13.html#ZhengHZK09
Xiaofeng Wang
De-Shuang Huang
A Novel Density-Based Clustering Framework by Using Level Set Method.
1515-1531
2009
21
IEEE Trans. Knowl. Data Eng.
11
https://doi.org/10.1109/TKDE.2009.21
http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.21
db/journals/tkde/tkde21.html#WangH09
Chun-Gui Xu
KunHong Liu 0001
De-Shuang Huang
The analysis of microarray datasets using a genetic programming.
176-181
2009
CIBCB
https://doi.org/10.1109/CIBCB.2009.4925725
conf/cibcb/2009
db/conf/cibcb/cibcb2009.html#XuLH09
Chao Wang 0071
De-Shuang Huang
Bo Li 0002
A Novel Local Sensitive Frontier Analysis for Feature Extraction.
556-565
2009
ICIC (2)
https://doi.org/10.1007/978-3-642-04020-7_59
conf/icic/2009-2
db/conf/icic/icic2009-2.html#WangHL09
Marcos G. Quiles
DeLiang Wang
Liang Zhao 0001
Roseli A. Francelin Romero
De-Shuang Huang
An oscillatory correlation model of object-based attention.
2596-2602
2009
IJCNN
https://doi.org/10.1109/IJCNN.2009.5178597
https://doi.ieeecomputersociety.org/10.1109/IJCNN.2009.5178597
conf/ijcnn/2009
db/conf/ijcnn/ijcnn2009.html#QuilesWZRH09
Ming-Guang Shi
Min Wu
De-Shuang Huang
Xueling Li
Inferring Protein Interactions from Sequence using Support Vector Machine.
2903-2907
2009
IJCNN
https://doi.org/10.1109/IJCNN.2009.5178660
https://doi.ieeecomputersociety.org/10.1109/IJCNN.2009.5178660
conf/ijcnn/2009
db/conf/ijcnn/ijcnn2009.html#ShiWHL09
Wei Jia 0001
Yi-Hai Zhu
Ling-Feng Liu
De-Shuang Huang
Fast Palmprint Retrieval Using Principal Lines.
4118-4123
2009
SMC
conf/smc/2009
db/conf/smc/smc2009.html#JiaZLH09
https://doi.org/10.1109/ICSMC.2009.5346694
De-Shuang Huang
Kang-Hyun Jo
Hong-Hee Lee
Hee-Jun Kang
Vitoantonio Bevilacqua
Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings
5754
2009
https://doi.org/10.1007/978-3-642-04070-2
978-3-642-04069-6
ICIC (1)
Lecture Notes in Computer Science
Springer
db/conf/icic/icic2009-1.html
De-Shuang Huang
Kang-Hyun Jo
Hong-Hee Lee
Hee-Jun Kang
Vitoantonio Bevilacqua
Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, Proceedings
5755
2009
https://doi.org/10.1007/978-3-642-04020-7
978-3-642-04019-1
ICIC (2)
Lecture Notes in Computer Science
Springer
db/conf/icic/icic2009-2.html
De-Shuang Huang
Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation.
509-510
2008
205
Appl. Math. Comput.
2
https://doi.org/10.1016/j.amc.2008.09.015
db/journals/amc/amc205.html#Huang08a
Xiaofeng Wang
De-Shuang Huang
Ji-Xiang Du
Huan Xu
Laurent Heutte
Classification of plant leaf images with complicated background.
916-926
2008
205
Appl. Math. Comput.
2
https://doi.org/10.1016/j.amc.2008.05.108
db/journals/amc/amc205.html#WangHDXH08
KunHong Liu 0001
De-Shuang Huang
Cancer classification using Rotation Forest.
601-610
2008
38
Comput. Biol. Medicine
5
https://doi.org/10.1016/j.compbiomed.2008.02.007
https://www.wikidata.org/entity/Q51888933
db/journals/cbm/cbm38.html#LiuH08
Chun-Hou Zheng 0001
De-Shuang Huang
Xiangzhen Kong
Xing-Ming Zhao
Gene Expression Data Classification Using Consensus Independent Component Analysis.
74-82
2008
6
Genom. Proteom. Bioinform.
2
https://doi.org/10.1016/S1672-0229(08)60022-4
https://www.wikidata.org/entity/Q33381434
db/journals/gpb/gpb6.html#ZhengHKZ08
Peng Chen 0001
De-Shuang Huang
Xing-Ming Zhao
Xueling Li
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function.
123-136
2008
4
Int. J. Bioinform. Res. Appl.
2
https://doi.org/10.1504/IJBRA.2008.018340
db/journals/ijbra/ijbra4.html#ChenHZL08
Fei Han 0001
Qing-Hua Ling
De-Shuang Huang
Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
907-919
2008
178
Inf. Sci.
3
https://doi.org/10.1016/j.ins.2007.09.008
db/journals/isci/isci178.html#HanLH08
Xiaofeng Wang
De-Shuang Huang
A Novel Multi-Layer Level Set Method for Image Segmentation.
2427-2452
2008
14
J. Univers. Comput. Sci.
14
db/journals/jucs/jucs14.html#WangH08
https://doi.org/10.3217/jucs-014-14-2427
Fei Han 0001
De-Shuang Huang
A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks.
433-439
2008
17
Neural Comput. Appl.
5-6
https://doi.org/10.1007/s00521-007-0135-5
db/journals/nca/nca17.html#HanH08
KunHong Liu 0001
Yong Xu
De-Shuang Huang
Min Cheng
Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm.
111-121
2008
15
Photonic Netw. Commun.
2
https://doi.org/10.1007/s11107-007-0103-0
db/journals/pnc/pnc15.html#LiuXHC08
De-Shuang Huang
Wei Jia 0001
David Zhang 0001
Palmprint verification based on principal lines.
1316-1328
2008
41
Pattern Recognit.
4
https://doi.org/10.1016/j.patcog.2007.08.016
https://www.wikidata.org/entity/Q57810828
db/journals/pr/pr41.html#HuangJZ08
Wei Jia 0001
De-Shuang Huang
David Zhang 0001
Palmprint verification based on robust line orientation code.
1504-1513
2008
41
Pattern Recognit.
5
https://doi.org/10.1016/j.patcog.2007.10.011
https://www.wikidata.org/entity/Q57810834
db/journals/pr/pr41.html#JiaHZ08
Bo Li 0002
De-Shuang Huang
Chao Wang 0071
KunHong Liu 0001
Feature extraction using constrained maximum variance mapping.
3287-3294
2008
41
Pattern Recognit.
11
https://doi.org/10.1016/j.patcog.2008.05.014
db/journals/pr/pr41.html#LiHWL08
Bo Li 0002
Chun-Hou Zheng 0001
De-Shuang Huang
Locally linear discriminant embedding: An efficient method for face recognition.
3813-3821
2008
41
Pattern Recognit.
12
https://doi.org/10.1016/j.patcog.2008.05.027
db/journals/pr/pr41.html#LiZH08
De-Shuang Huang
Ji-Xiang Du
A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks.
2099-2115
2008
19
IEEE Trans. Neural Networks
12
https://doi.org/10.1109/TNN.2008.2004370
https://www.wikidata.org/entity/Q46215307
db/journals/tnn/tnn19.html#HuangD08
Guo-Zhu Wen
De-Shuang Huang
A Novel Spike Sorting Method Based on Semi-supervised Learning.
605-615
2008
ICIC (2)
https://doi.org/10.1007/978-3-540-85984-0_73
conf/icic/2008-2
db/conf/icic/icic2008-2.html#WenH08
Huan Xu
De-Shuang Huang
One Class Support Vector Machines for Distinguishing Photographs and Graphics.
602-607
2008
ICNSC
https://doi.org/10.1109/ICNSC.2008.4525289
conf/icnsc/2008
db/conf/icnsc/icnsc2008.html#XuH08
Jie Gui
De-Shuang Huang
Zhuhong You
An improvement on learning with local and global consistency.
1-4
2008
ICPR
https://doi.org/10.1109/ICPR.2008.4761295
https://doi.ieeecomputersociety.org/10.1109/ICPR.2008.4761295
conf/icpr/2008
db/conf/icpr/icpr2008.html#GuiHY08
Bo Li 0002
De-Shuang Huang
Chao Wang 0071
Improving the robustness of ISOMAP by de-noising.
266-270
2008
IJCNN
https://doi.org/10.1109/IJCNN.2008.4633801
conf/ijcnn/2008
db/conf/ijcnn/ijcnn2008.html#LiHW08
Bo Li 0002
De-Shuang Huang
KunHong Liu 0001
Constrained Maximum Variance Mapping.
534-537
2008
IJCNN
https://doi.org/10.1109/IJCNN.2008.4633844
conf/ijcnn/2008
db/conf/ijcnn/ijcnn2008.html#LiHL08
Wei Jia 0001
De-Shuang Huang
Dacheng Tao
David Zhang 0001
Palmprint identification based on directional representation.
1562-1567
2008
SMC
https://doi.org/10.1109/ICSMC.2008.4811509
https://www.wikidata.org/entity/Q57810821
conf/smc/2008
db/conf/smc/smc2008.html#JiaHTZ08
De-Shuang Huang
Donald C. Wunsch II
Daniel S. Levine 0001
Kang-Hyun Jo
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings
ICIC (3)
Communications in Computer and Information Science
15
978-3-540-85929-1
2008
Springer
db/conf/icic/icic2008-3.html
De-Shuang Huang
Donald C. Wunsch II
Daniel S. Levine 0001
Kang-Hyun Jo
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings
5226
2008
978-3-540-87440-9
ICIC (1)
Lecture Notes in Computer Science
Springer
https://doi.org/10.1007/978-3-540-87442-3
db/conf/icic/icic2008-1.html
De-Shuang Huang
Donald C. Wunsch II
Daniel S. Levine 0001
Kang-Hyun Jo
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings
5227
2008
978-3-540-85983-3
ICIC (2)
Lecture Notes in Computer Science
Springer
https://doi.org/10.1007/978-3-540-85984-0
db/conf/icic/icic2008-2.html
De-Shuang Huang
Special issue on intelligent computing theory and methodology.
757-758
2007
185
Appl. Math. Comput.
2
https://doi.org/10.1016/j.amc.2006.06.102
db/journals/amc/amc185.html#Huang07
De-Shuang Huang
Prashan Premaratne
Advanced Neurocomputing Theory and Methodology.
623-624
2007
70
Neurocomputing
4-6
https://doi.org/10.1016/j.neucom.2006.10.052
db/journals/ijon/ijon70.html#HuangP07
Ji-Xiang Du
De-Shuang Huang
Xiaofeng Wang
Xiao Gu 0002
Shape recognition based on neural networks trained by differential evolution algorithm.
896-903
2007
70
Neurocomputing
4-6
https://doi.org/10.1016/j.neucom.2006.10.026
db/journals/ijon/ijon70.html#DuHWG07
Zhong-Qiu Zhao
De-Shuang Huang
Wei Jia 0001
Palmprint recognition with 2DPCA+PCA based on modular neural networks.
448-454
2007
71
Neurocomputing
1-3
https://doi.org/10.1016/j.neucom.2007.07.010
db/journals/ijon/ijon71.html#ZhaoHJ07
Chun-Hou Zheng 0001
De-Shuang Huang
Kang Li 0002
George W. Irwin
Zhan-Li Sun
MISEP Method for Postnonlinear Blind Source Separation.
2557-2578
2007
19
Neural Comput.
9
https://doi.org/10.1162/neco.2007.19.9.2557
https://www.wikidata.org/entity/Q51909886
db/journals/neco/neco19.html#ZhengHLIS07
Hong-Qiang Wang
Hau-San Wong
De-Shuang Huang
Jun Shu
Extracting gene regulation information for cancer classification.
3379-3392
2007
40
Pattern Recognit.
12
https://doi.org/10.1016/j.patcog.2007.04.007
db/journals/pr/pr40.html#WangWHS07
Catalin-Daniel Caleanu
De-Shuang Huang
Vasile Gui
Virgil Tiponut
Valentin Maranescu
Interest Operator versus Gabor filtering for facial imagery classification.
950-956
2007
28
Pattern Recognit. Lett.
8
https://doi.org/10.1016/j.patrec.2006.12.013
db/journals/prl/prl28.html#CaleanuHGTM07
De-Shuang Huang
Jian-Xun Mi
A New Constrained Independent Component Analysis Method.
1532-1535
2007
18
IEEE Trans. Neural Networks
5
https://doi.org/10.1109/TNN.2007.895910
https://www.wikidata.org/entity/Q51896130
db/journals/tnn/tnn18.html#HuangM07
KunHong Liu 0001
De-Shuang Huang
Bo Li 0002
Improving the performance of ICA based microarray data prediction models with genetic algorithm.
606-611
2007
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2007.4424526
conf/cec/2007
db/conf/cec/cec2007.html#LiuHL07
KunHong Liu 0001
De-Shuang Huang
Jun Zhang 0011
Microarray data prediction by evolutionary classifier ensemble system.
634-637
2007
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2007.4424530
conf/cec/2007
db/conf/cec/cec2007.html#LiuHZ07
Ji-Xiang Du
De-Shuang Huang
Zengfu Wang
Pattern classification with a PSO optimization based elliptical basis function neural networks.
1654-1661
2007
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2007.4424672
conf/cec/2007
db/conf/cec/cec2007.html#DuHW07
Zhong-Qiu Zhao
De-Shuang Huang
An evolutionary modular neural network for unbalanced pattern classifications.
1662-1669
2007
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2007.4424673
conf/cec/2007
db/conf/cec/cec2007.html#ZhaoH07
Jun Zhang 0011
De-Shuang Huang
KunHong Liu 0001
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization.
3215-3220
2007
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2007.4424883
conf/cec/2007
db/conf/cec/cec2007.html#ZhangHL07
Sheng-Bo Guo
Ying Wang
Xing Yan
Longnian Lin
Joe Tsien
De-Shuang Huang
Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus.
1339-1344
2007
conf/icic/2007-2
ICIC (2)
https://doi.org/10.1007/978-3-540-74205-0_137
db/conf/icic/icic2007-2.html#GuoWYLTH07
Bing Wang 0004
Lu-Sheng Ge
De-Shuang Huang
Hau-San Wong
Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method.
329-333
2007
ICNC (2)
https://doi.org/10.1109/ICNC.2007.562
https://doi.ieeecomputersociety.org/10.1109/ICNC.2007.562
conf/icnc/2007-2
db/conf/icnc/icnc2007-2.html#WangGHW07
Zhong-Hua Quan
De-Shuang Huang
KunHong Liu 0001
Kwok-Wing Chau
A Hybrid HMM/ANN Based Approach for Online Signature Verification.
402-405
2007
IJCNN
https://doi.org/10.1109/IJCNN.2007.4370990
conf/ijcnn/2007
db/conf/ijcnn/ijcnn2007.html#QuanHLC07
Peng Chen 0001
Bing Wang 0004
Hau-San Wong
De-Shuang Huang
Prediction of Long-range Contacts from Sequence Profile.
938-943
2007
IJCNN
https://doi.org/10.1109/IJCNN.2007.4371084
conf/ijcnn/2007
db/conf/ijcnn/ijcnn2007.html#ChenWWH07
Guo-Zhu Wen
Xiao-Yong Guo
De-Shuang Huang
KunHong Liu 0001
Application of Self-Organizing Map in Aerosol Single Particles Data Clustering.
991-996
2007
IJCNN
https://doi.org/10.1109/IJCNN.2007.4371093
conf/ijcnn/2007
db/conf/ijcnn/ijcnn2007.html#WenGHL07
Junfeng Xia
Bing Wang 0004
De-Shuang Huang
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network.
2471-2475
2007
IJCNN
https://doi.org/10.1109/IJCNN.2007.4371346
conf/ijcnn/2007
db/conf/ijcnn/ijcnn2007.html#XiaWH07
Wei Jia 0001
De-Shuang Huang
Palmprint Verification Based on Robust Orientation Code.
2510-2514
2007
IJCNN
https://doi.org/10.1109/IJCNN.2007.4371353
conf/ijcnn/2007
db/conf/ijcnn/ijcnn2007.html#JiaH07
De-Shuang Huang
Laurent Heutte
Marco Loog
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings
2
2007
978-3-540-74281-4
ICIC (3)
Communications in Computer and Information Science
Springer
db/conf/icic/icic2007-3.html
De-Shuang Huang
Laurent Heutte
Marco Loog
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings
ICIC (1)
Lecture Notes in Computer Science
4681
Springer
2007
978-3-540-74170-1
https://doi.org/10.1007/978-3-540-74171-8
db/conf/icic/icic2007-1.html
De-Shuang Huang
Laurent Heutte
Marco Loog
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings
ICIC (2)
Lecture Notes in Computer Science
4682
Springer
2007
978-3-540-74201-2
https://doi.org/10.1007/978-3-540-74205-0
db/conf/icic/icic2007-2.html
Fei Han 0001
De-Shuang Huang
Improved constrained learning algorithms by incorporating additional functional constraints into neural networks.
34-50
2006
174
Appl. Math. Comput.
1
https://doi.org/10.1016/j.amc.2005.04.073
db/journals/amc/amc174.html#HanH06
De-Shuang Huang
Chun-Hou Zheng 0001
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
1855-1862
2006
22
Bioinform.
15
https://doi.org/10.1093/bioinformatics/btl190
https://www.wikidata.org/entity/Q31041309
db/journals/bioinformatics/bioinformatics22.html#HuangZ06
Zhan-Li Sun
Deshuang Huang
Yiu-ming Cheung
Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346].
205
2006
16
Digit. Signal Process.
2
https://doi.org/10.1016/j.dsp.2005.06.004
db/journals/dsp/dsp16.html#SunHC06
Fei Han 0001
De-Shuang Huang
Zhi-Hua Zhu
Tie-Hua Rong
The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine.
39-46
2006
16
Int. J. Neural Syst.
1
https://doi.org/10.1142/S0129065706000494
https://www.wikidata.org/entity/Q47348646
db/journals/ijns/ijns16.html#HanHZR06
Li Shang
Deshuang Huang
Chunhou Zheng 0001
Zhan-Li Sun
Noise removal using a novel non-negative sparse coding shrinkage technique.
874-877
2006
69
Neurocomputing
7-9
https://doi.org/10.1016/j.neucom.2005.07.004
db/journals/ijon/ijon69.html#ShangHZS06
Chun-Hou Zheng 0001
De-Shuang Huang
Zhan-Li Sun
Michael R. Lyu
Tat-Ming Lok
Nonnegative independent component analysis based on minimizing mutual information technique.
878-883
2006
69
Neurocomputing
7-9
https://doi.org/10.1016/j.neucom.2005.06.008
db/journals/ijon/ijon69.html#ZhengHSLL06
Zhan-Li Sun
De-Shuang Huang
Chun-Hou Zheng 0001
Li Shang
Optimal selection of time lags for TDSEP based on genetic algorithm.
884-887
2006
69
Neurocomputing
7-9
https://doi.org/10.1016/j.neucom.2005.06.010
db/journals/ijon/ijon69.html#SunHZS06
Li Shang
De-Shuang Huang
Ji-Xiang Du
Chun-Hou Zheng 0001
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network.
1782-1786
2006
69
Neurocomputing
13-15
https://doi.org/10.1016/j.neucom.2005.11.004
db/journals/ijon/ijon69.html#ShangHDZ06
Fei Han 0001
De-Shuang Huang
Improved extreme learning machine for function approximation by encoding a priori information.
2369-2373
2006
69
Neurocomputing
16-18
https://doi.org/10.1016/j.neucom.2006.02.013
db/journals/ijon/ijon69.html#HanH06
Jun Zhang 0032
De-Shuang Huang
Tat-Ming Lok
Michael R. Lyu
A novel adaptive sequential niche technique for multimodal function optimization.
2396-2401
2006
69
Neurocomputing
16-18
https://doi.org/10.1016/j.neucom.2006.02.016
db/journals/ijon/ijon69.html#ZhangHLL06
Chun-Hou Zheng 0001
De-Shuang Huang
Li Shang
Feature selection in independent component subspace for microarray data classification.
2407-2410
2006
69
Neurocomputing
16-18
https://doi.org/10.1016/j.neucom.2006.02.006
db/journals/ijon/ijon69.html#ZhengHS06
Ji-Xiang Du
De-Shuang Huang
Guo-Jun Zhang
Zengfu Wang
A novel full structure optimization algorithm for radial basis probabilistic neural networks.
592-596
2006
70
Neurocomputing
1-3
https://doi.org/10.1016/j.neucom.2006.05.003
db/journals/ijon/ijon70.html#DuHZW06
Yuan Yan Tang
De-Shuang Huang
Editorial.
111-112
2006
20
Int. J. Pattern Recognit. Artif. Intell.
2
https://doi.org/10.1142/S0218001406004545
db/journals/ijprai/ijprai20.html#TangH06
De-Shuang Huang
Xing-Ming Zhao
Guang-Bin Huang
Yiu-ming Cheung
Classifying protein sequences using hydropathy blocks.
2293-2300
2006
39
Pattern Recognit.
12
https://doi.org/10.1016/j.patcog.2005.11.012
db/journals/pr/pr39.html#HuangZHC06
Hong-Qiang Wang
De-Shuang Huang
Regulation probability method for gene selection.
116-122
2006
27
Pattern Recognit. Lett.
2
https://doi.org/10.1016/j.patrec.2005.07.007
db/journals/prl/prl27.html#WangH06
Jian Xun Peng
Kang Li 0002
De-Shuang Huang
A Hybrid Forward Algorithm for RBF Neural Network Construction.
1439-1451
2006
17
IEEE Trans. Neural Networks
6
https://doi.org/10.1109/TNN.2006.880860
https://www.wikidata.org/entity/Q51100049
db/journals/tnn/tnn17.html#PengLH06
Guo-Jun Zhang
Ji-Xiang Du
De-Shuang Huang
Tat-Ming Lok
Michael R. Lyu
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering.
582-585
2006
conf/fskd/2006
FSKD
https://doi.org/10.1007/11881599_69
db/conf/fskd/fskd2006.html#ZhangDHLL06
Shun Pei
De-Shuang Huang
Kang Li 0002
George W. Irwin
Gene Selection by Cooperative Competition Clustering.
464-474
2006
conf/icic/2006-3
ICIC (3)
https://doi.org/10.1007/11816102_50
db/conf/icic/icic2006-3.html#PeiHLI06
Xing-Ming Zhao
De-Shuang Huang
Shiwu Zhang
Yiu-ming Cheung
Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.
593-602
2006
conf/icic/2006-3
ICIC (3)
https://doi.org/10.1007/11816102_63
db/conf/icic/icic2006-3.html#ZhaoHZC06
Xing Yan
Lei Cao
De-Shuang Huang
Kang Li 0002
George W. Irwin
A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition.
1085-1091
2006
conf/icic/2006-1
ICIC (1)
https://doi.org/10.1007/11816157_132
db/conf/icic/icic2006-1.html#YanCHLI06
Zhi-Kai Huang
De-Shuang Huang
Ji-Xiang Du
Zhong-Hua Quan
Sheng-Bo Guo
Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network.
80-87
2006
conf/iconip/2006-2
ICONIP (2)
https://doi.org/10.1007/11893257_9
db/conf/iconip/iconip2006-2.html#HuangHDQG06
Zhong-Hua Quan
De-Shuang Huang
Xiao-Lei Xia
Michael R. Lyu
Tat-Ming Lok
Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification.
1122-1125
2006
conf/icpr/2006
ICPR (2)
https://doi.org/10.1109/ICPR.2006.1072
https://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1072
db/conf/icpr/icpr2006-2.html#QuanHXLL06
Bing Wang 0004
Hau-San Wong
Peng Chen 0001
Hong-Qiang Wang
De-Shuang Huang
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.
2325-2330
2006
IJCNN
https://doi.org/10.1109/IJCNN.2006.247053
conf/ijcnn/2006
db/conf/ijcnn/ijcnn2006.html#WangWCWH06
Peng Chen 0001
Bing Wang 0004
Hau-San Wong
De-Shuang Huang
Long-Range Interaction Analysis using Principal Component Analysis.
2331-2336
2006
IJCNN
https://doi.org/10.1109/IJCNN.2006.247054
conf/ijcnn/2006
db/conf/ijcnn/ijcnn2006.html#ChenWWH06
Li Shang
De-Shuang Huang
Ji-Xiang Du
Zhi-Kai Huang
Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network.
216-221
2006
conf/isnn/2006-2
ISNN (2)
https://doi.org/10.1007/11760023_32
db/conf/isnn/isnn2006-2.html#ShangHDH06
De-Shuang Huang
Kang Li 0002
George W. Irwin
Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I
ICIC (1)
Lecture Notes in Computer Science
4113
Springer
2006
3-540-37271-7
https://doi.org/10.1007/11816157
db/conf/icic/icic2006-1.html
De-Shuang Huang
Kang Li 0002
George W. Irwin
Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II
ICIC (2)
Lecture Notes in Computer Science
4114
Springer
2006
3-540-37274-1
db/conf/icic/icic2006-2.html
De-Shuang Huang
Kang Li 0002
George W. Irwin
Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III
ICIC (3)
Lecture Notes in Computer Science
4115
Springer
2006
3-540-37277-6
https://doi.org/10.1007/11816102
db/conf/icic/icic2006-3.html
KunHong Liu 0001
Yong Xu
De-Shuang Huang
Min Cheng
Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm
http://arxiv.org/abs/cs/0610147
2006
CoRR
abs/cs/0610147
db/journals/corr/corr0610.html#abs-cs-0610147
KunHong Liu 0001
Yong Xu
De-Shuang Huang
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation
http://arxiv.org/abs/cs/0610157
2006
CoRR
abs/cs/0610157
db/journals/corr/corr0610.html#abs-cs-0610157
De-Shuang Huang
Wen-Bo Zhao
Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms.
461-473
2005
162
Appl. Math. Comput.
1
https://doi.org/10.1016/j.amc.2003.12.105
db/journals/amc/amc162.html#HuangZ05
De-Shuang Huang
Horace Ho-Shing Ip
Ken C. K. Law
Zheru Chi
Hau-San Wong
A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials.
1183-1200
2005
162
Appl. Math. Comput.
3
https://doi.org/10.1016/j.amc.2004.03.028
db/journals/amc/amc162.html#HuangILCW05
De-Shuang Huang
Zheru Chi
Wan-Chi Siu
A case study for constrained learning neural root finders.
699-718
2005
165
Appl. Math. Comput.
3
https://doi.org/10.1016/j.amc.2004.04.070
db/journals/amc/amc165.html#HuangCS05
Zhan-Li Sun
De-Shuang Huang
Yiu-ming Cheung
Extracting nonlinear features for multispectral images by FCMC and KPCA.
331-346
2005
15
Digit. Signal Process.
4
https://doi.org/10.1016/j.dsp.2004.12.004
db/journals/dsp/dsp15.html#SunHC05
Zhan-Li Sun
De-Shuang Huang
Chun-Hou Zheng 0001
Li Shang
Using batch algorithm for kernel blind source separation.
273-278
2005
69
Neurocomputing
1-3
https://doi.org/10.1016/j.neucom.2005.05.008
db/journals/ijon/ijon69.html#SunHZS05
Bing-Yu Sun
De-Shuang Huang
Hai-Tao Fang
Xing-Ming Yang
A novel robust regression approach of Lidar signal based on modified least squares support vector machine.
715-729
2005
19
Int. J. Pattern Recognit. Artif. Intell.
5
https://doi.org/10.1142/S021800140500423X
db/journals/ijprai/ijprai19.html#SunHFY05
Zhan-Li Sun
De-Shuang Huang
Yiu-ming Cheung
Jiming Liu 0001
Guang-Bin Huang
Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images.
108-112
2005
2
IEEE Geosci. Remote. Sens. Lett.
2
https://doi.org/10.1109/LGRS.2005.844169
db/journals/lgrs/lgrs2.html#SunHCLH05
Xing-Ming Zhao
Yiu-ming Cheung
De-Shuang Huang
A novel approach to extracting features from motif content and protein composition for protein sequence classification.
1019-1028
2005
18
Neural Networks
8
https://doi.org/10.1016/j.neunet.2005.07.002
https://www.wikidata.org/entity/Q51964745
db/journals/nn/nn18.html#ZhaoCH05
Zhigang Zeng
De-Shuang Huang
Zengfu Wang
Global Stability of a General Class of Discrete-Time Recurrent Neural Networks.
33-47
2005
22
Neural Process. Lett.
1
https://doi.org/10.1007/s11063-004-8194-4
db/journals/npl/npl22.html#ZengHW05
Guang-Zheng Zhang
De-Shuang Huang
Zhong-Hua Quan
Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction.
1543-1553
2005
26
Pattern Recognit. Lett.
10
https://doi.org/10.1016/j.patrec.2005.01.005
db/journals/prl/prl26.html#ZhangHQ05
Guang-Zheng Zhang
De-Shuang Huang
Yunping Zhu
Yi-Xue Li
Improving protein secondary structure prediction by using the residue conformational classes.
2346-2352
2005
26
Pattern Recognit. Lett.
15
https://doi.org/10.1016/j.patrec.2005.04.010
db/journals/prl/prl26.html#ZhangHZL05
Bing-Yu Sun
De-Shuang Huang
Hai-Tao Fang
Lidar signal denoising using least-squares support vector machine.
101-104
2005
12
IEEE Signal Process. Lett.
2
https://doi.org/10.1109/LSP.2004.836938
db/journals/spl/spl12.html#SunHF05
De-Shuang Huang
Horace Ho-Shing Ip
Ken Chee-keung Law
Zheru Chi
Zeroing polynomials using modified constrained neural network approach.
721-732
2005
16
IEEE Trans. Neural Networks
3
https://doi.org/10.1109/TNN.2005.844912
https://www.wikidata.org/entity/Q51971990
db/journals/tnn/tnn16.html#HuangILC05
Guang-Bin Huang
Ke Zhi Mao
Chee Kheong Siew
De-Shuang Huang
Fast Modular network implementation for support vector machines.
1651-1663
2005
16
IEEE Trans. Neural Networks
6
https://doi.org/10.1109/TNN.2005.857952
https://www.wikidata.org/entity/Q47856495
db/journals/tnn/tnn16.html#HuangMSH05
Li Shang
Deshuang Huang
Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm.
1017-1022
2005
conf/cvpr/2005
CVPR (1)
https://doi.org/10.1109/CVPR.2005.183
https://doi.ieeecomputersociety.org/10.1109/CVPR.2005.183
db/conf/cvpr/cvpr2005-1.html#ShangH05
Jun-Hua Han
De-Shuang Huang
A novel BP-based image retrieval system.
1557-1560
2005
conf/iscas/2005
ISCAS (2)
https://doi.org/10.1109/ISCAS.2005.1464898
db/conf/iscas/iscas2005-2.html#HanH05
Ji-Xiang Du
Deshuang Huang
Xiaofeng Wang
Xiao Gu 0002
Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification.
281-285
2005
conf/isnn/2005-2
ISNN (2)
https://doi.org/10.1007/11427445_45
db/conf/isnn/isnn2005-2.html#DuHWG05
Chunhou Zheng 0001
Deshuang Huang
Zhan-Li Sun
Li Shang
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.
478-483
2005
conf/isnn/2005-2
ISNN (2)
https://doi.org/10.1007/11427445_78
db/conf/isnn/isnn2005-2.html#ZhengHSS05
Fei Han 0001
Deshuang Huang
Yiu-ming Cheung
Guang-Bin Huang
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
572-577
2005
conf/isnn/2005-1
ISNN (1)
https://doi.org/10.1007/11427391_91
db/conf/isnn/isnn2005-1.html#HanHCH05
Li Shang
Deshuang Huang
Chunhou Zheng 0001
Zhan-Li Sun
Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.
807-812
2005
conf/isnn/2005-2
ISNN (2)
https://doi.org/10.1007/11427445_130
db/conf/isnn/isnn2005-2.html#LiHZS05
Ji-Xiang Du
De-Shuang Huang
Jun Zhang 0011
Xiao-Feng Wang
Shape matching using fuzzy discrete particle swarm optimization.
405-408
2005
SIS
https://doi.org/10.1109/SIS.2005.1501652
conf/swis/2005
db/conf/swis/swis2005.html#DuHZW05
De-Shuang Huang
Xiao-Ping (Steven) Zhang
Guang-Bin Huang
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I
3644
2005
3-540-28226-2
ICIC (1)
Lecture Notes in Computer Science
Springer
https://doi.org/10.1007/11538059
db/conf/icic/icic2005-1.html
De-Shuang Huang
Xiao-Ping (Steven) Zhang
Guang-Bin Huang
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II
3645
2005
3-540-28227-0
ICIC (2)
Lecture Notes in Computer Science
Springer
https://doi.org/10.1007/11538356
db/conf/icic/icic2005-2.html
Deshuang Huang
Zheru Chi
Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method.
232-245
2004
47
Sci. China Ser. F Inf. Sci.
2
https://doi.org/10.1360/01yf0437
db/journals/chinaf/chinaf47.html#HuangC04
Zhigang Zeng
De-Shuang Huang
Zengfu Wang
Attractability and location of equilibrium point of cellular neural networks with time-varying delays.
337-345
2004
14
Int. J. Neural Syst.
5
https://doi.org/10.1142/S0129065704002054
https://www.wikidata.org/entity/Q51982543
db/journals/ijns/ijns14.html#ZengHW04
Wen-Bo Zhao
De-Shuang Huang
Ji-Yan Du
Li-Ming Wang
Genetic Optimization Of Radial Basis Probabilistic Neural Networks.
1473-1499
2004
18
Int. J. Pattern Recognit. Artif. Intell.
8
https://doi.org/10.1142/S0218001404003824
db/journals/ijprai/ijprai18.html#ZhaoHDW04
Guang-Zheng Zhang
De-Shuang Huang
Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme.
797-810
2004
18
J. Comput. Aided Mol. Des.
12
https://doi.org/10.1007/s10822-005-0578-7
https://www.wikidata.org/entity/Q51967777
db/journals/jcamd/jcamd18.html#ZhangH04
De-Shuang Huang
Horace Ho-Shing Ip
Zheru Chi
A Neural Root Finder of Polynomials Based on Root Moments.
1721-1762
2004
16
Neural Comput.
8
https://doi.org/10.1162/089976604774201668
db/journals/neco/neco16.html#HuangIC04
Zhong-Qiu Zhao
De-Shuang Huang
Bing-Yu Sun
Human face recognition based on multi-features using neural networks committee.
1351-1358
2004
25
Pattern Recognit. Lett.
12
https://doi.org/10.1016/j.patrec.2004.05.008
db/journals/prl/prl25.html#ZhaoHS04
De-Shuang Huang
A constructive approach for finding arbitrary roots of polynomials by neural networks.
477-491
2004
15
IEEE Trans. Neural Networks
2
https://doi.org/10.1109/TNN.2004.824424
https://www.wikidata.org/entity/Q51988811
db/journals/tnn/tnn15.html#Huang04
Guang-Zheng Zhang
De-Shuang Huang
Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction.
1015-1019
2004
conf/cec/2004
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2004.1330973
db/conf/cec/cec2004.html#ZhangH04
Jian-Xun Mi
De-Shuang Huang
Image compression using principal component neural network.
698-701
2004
ICARCV
https://doi.org/10.1109/ICARCV.2004.1468912
conf/icarcv/2004
db/conf/icarcv/icarcv2004.html#MiH04
Zhigang Zeng
Zengfu Wang
De-Shuang Huang
Global exponential stability of delayed Cohen-Grossberg neural networks.
2254-2257
2004
ICARCV
https://doi.org/10.1109/ICARCV.2004.1469782
conf/icarcv/2004
db/conf/icarcv/icarcv2004.html#ZengWH04
Guang-Zheng Zhang
De-Shuang Huang
Hong-Qiang Wang
Protein secondary structure prediction based on the amino acids conformational classification and neural network technique.
573-576
2004
ICASSP (5)
https://doi.org/10.1109/ICASSP.2004.1327175
conf/icassp/2004
db/conf/icassp/icassp2004.html#ZhangHW04
Xing-Ming Zhao
De-Shuang Huang
Yiu-ming Cheung
Hong-Qiang Wang
Xin Huang
A Novel Hybrid GA/SVM System for Protein Sequences Classification.
11-16
https://doi.org/10.1007/978-3-540-28651-6_2
2004
conf/ideal/2004
IDEAL
db/conf/ideal/ideal2004.html#ZhaoHCWH04
Wen-Bo Zhao
Mingyi Zhang
Li-Ming Wang
Ji-Yan Du
De-Shuang Huang
Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks.
314-319
https://doi.org/10.1007/978-3-540-28651-6_46
2004
conf/ideal/2004
IDEAL
db/conf/ideal/ideal2004.html#ZhaoZWDH04
Zhigang Zeng
De-Shuang Huang
Zengfu Wang
Global Convergence of Steepest Descent for Quadratic Functions.
672-677
https://doi.org/10.1007/978-3-540-28651-6_99
2004
conf/ideal/2004
IDEAL
db/conf/ideal/ideal2004.html#ZengHW04
Zhigang Zeng
De-Shuang Huang
Zengfu Wang
Stability Analysis of Discrete-Time Cellular Neural Networks.
114-119
https://doi.org/10.1007/978-3-540-28647-9_20
2004
conf/isnn/2004-1
ISNN (1)
db/conf/isnn/isnn2004-1.html#ZengHW04
Hong-Qiang Wang
De-Shuang Huang
Xing-Ming Zhao
Xin Huang
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns.
476-481
https://doi.org/10.1007/978-3-540-28648-6_76
2004
conf/isnn/2004-2
ISNN (2)
db/conf/isnn/isnn2004-2.html#WangHZH04
Guang-Zheng Zhang
De-Shuang Huang
Xin Huang
Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction.
513-518
https://doi.org/10.1007/978-3-540-28648-6_82
2004
conf/isnn/2004-2
ISNN (2)
db/conf/isnn/isnn2004-2.html#ZhangHH04
Bing-Yu Sun
De-Shuang Huang
Lin Guo
Zhong-Qiu Zhao
Support Vector Machine Committee for Classification.
648-653
https://doi.org/10.1007/978-3-540-28647-9_106
2004
conf/isnn/2004-1
ISNN (1)
db/conf/isnn/isnn2004-1.html#SunHGZ04
Zhan-Li Sun
De-Shuang Huang
Extracting Target Information in Multispectral Images Using a Modified KPCA Approach.
774-779
https://doi.org/10.1007/978-3-540-28647-9_127
2004
conf/isnn/2004-1
ISNN (1)
db/conf/isnn/isnn2004-1.html#SunH04
Zhigang Zeng
De-Shuang Huang
Zengfu Wang
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks.
1008-1014
https://doi.org/10.1007/978-3-540-28647-9_166
2004
conf/isnn/2004-1
ISNN (1)
db/conf/isnn/isnn2004-1.html#ZengHW04a
Bing-Yu Sun
De-Shuang Huang
Support vector clustering for multiclass classification problems.
1480-1485
2003
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2003.1299845
conf/cec/2003
db/conf/cec/cec2003.html#SunH03
De-Shuang Huang
Horace H. S. Ip
Finding the maximum modulus roots of polynomials based on constrained neural networks.
797-800
2003
ICASSP (2)
https://doi.org/10.1109/ICASSP.2003.1202487
conf/icassp/2003
db/conf/icassp/icassp2003.html#HuangI03
De-Shuang Huang
On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.
169-176
https://doi.org/10.1007/978-3-540-45080-1_24
2003
conf/ideal/2003
IDEAL
db/conf/ideal/ideal2003.html#Huang03
Wen-Bo Zhao
De-Shuang Huang
Lin Guo
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.
389-396
https://doi.org/10.1007/978-3-540-45080-1_50
2003
conf/ideal/2003
IDEAL
db/conf/ideal/ideal2003.html#ZhaoHG03
De-Shuang Huang
Horace Ho-Shing Ip
On the Choices of the Parameters in General Constrained Learning Algorithms.
967-974
https://doi.org/10.1007/978-3-540-45080-1_137
2003
conf/ideal/2003
IDEAL
db/conf/ideal/ideal2003.html#HuangI03
De-Shuang Huang
A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets.
65-83
1999
13
Int. J. Pattern Recognit. Artif. Intell.
1
db/journals/ijprai/ijprai13.html#Huang99a
https://doi.org/10.1142/S0218001499000057
De-Shuang Huang
Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets.
945-962
1999
13
Int. J. Pattern Recognit. Artif. Intell.
6
db/journals/ijprai/ijprai13.html#Huang99b
https://doi.org/10.1142/S0218001499000525
Deshuang Huang
The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough.
34-43
1999
14
J. Comput. Sci. Technol.
1
https://doi.org/10.1007/BF02952485
db/journals/jcst/jcst14.html#Huang99
De-Shuang Huang
On the conditions of outer-supervised feedforward neural networks for null cost learning.
841-845
1999
IJCNN
https://doi.org/10.1109/IJCNN.1999.831061
conf/ijcnn/1999
db/conf/ijcnn/ijcnn1999.html#Huang99
De-Shuang Huang
A fusion design of linear feedforward neural networks for pattern classification.
2768-2771
1999
IJCNN
https://doi.org/10.1109/IJCNN.1999.833518
conf/ijcnn/1999
db/conf/ijcnn/ijcnn1999.html#Huang99a
Jiuzhen Liang
Xingui He
Deshuang Huang
Gradient-Newton Learning Algorithm for Feedforward Neural Networks.
2870-2874
1999
conf/pdpta/1999
PDPTA
db/conf/pdpta/pdpta1999-6.html#LiangHH99
De-Shuang Huang
Neural Pattern Analyses Based on a Novel Error Cost Function.
2875-2880
1999
conf/pdpta/1999
PDPTA
db/conf/pdpta/pdpta1999-6.html#Huang99
De-Shuang Huang
The local minima-free condition of feedforward neural networks for outer-supervised learning.
477-480
1998
28
IEEE Trans. Syst. Man Cybern. Part B
3
db/journals/tsmc/tsmcb28.html#Huang98
https://doi.org/10.1109/3477.678658
https://www.wikidata.org/entity/Q51964840
De-Shuang Huang
The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition.
873-888
1997
11
Int. J. Pattern Recognit. Artif. Intell.
6
db/journals/ijprai/ijprai11.html#Huang97
https://doi.org/10.1142/S0218001497000391
Deshuang Huang
Erke Mao
Yueqiu Han
Application of function link net to recognition of radar targets.
3487-3490
1995
ICASSP
https://doi.org/10.1109/ICASSP.1995.479737
https://doi.ieeecomputersociety.org/10.1109/ICASSP.1995.479737
conf/icassp/1995
db/conf/icassp/icassp1995.html#HuangMH95
B. AbdulaimmaBasma Abdulaimma
Tatsuya Akutsu
Dhiya Al-Jumeily
Saud Alguwaizani
Rong Bao
Wenzheng Bao
Vitoantonio Bevilacqua
Catalin-Daniel Caleanu
Lei Cao
Shaolong Cao
Jair Cervantes
Keith C. C. Chan
Asdrúbal López Chau
Kwok-Wing Chau
Luonan Chen
Peng Chen 0001
Yihao Chen
Yuehui Chen
Zhanheng ChenZhan-Heng Chen
Fei Cheng
Min Cheng
Yiu-Ming CheungYiu-ming Cheung
Zheru Chi
Yoonsuck Choe
Kuo-Chen Chou
Anthony G. Cohn 0001
Jiangtao Cui
Zhen Cui
Su-Ping Deng
Suping Deng
Ji-Yan Du
Jixiang DuJi-Xiang Du
Yuchuan Du
Béatrice Duval
Zhang-Tao Fan
Haitao FangHai-Tao Fang
Paul Fergus
Vladimir F. FilaretovVladimir Fedorovich Filaretov
Yanfen Gan
Yong Gan
Carlos A. Reyes García
Farid GarcíaFarid García-Lamont
Juan Carlos Figueroa GarcíaJuan Carlos Figueroa-García
Lu-Sheng Ge
Yushui Geng
Valeriya V. Gribova
M. Michael Gromiha
Xiao Gu 0002
Jie Gui
Vasile Gui
Lehang Guo
Lin Guo
Sheng-Bo Guo
Wei-Li Guo
Xiao-Yong Guo
Zhen-Hao Guo
Zhenghao Guo
Phalguni Gupta
Fei Han 0001
Jun-Hua Han
Kyungsook Han
Yueqiu Han
Jin-Kao Hao
Feng He 0004
Guo-Dui He
Haibo He
Xingui He
Ying He
Laurent Heutte
Van-Thanh Hoang
Barry Honig
Rong-Xiang Hu
Guang-Bin Huang
Jianbin Huang
Longji Huang
Xin Huang
Yuan HuangYu-An Huang
Zhenhua Huang 0005
Zhi-Kai Huang
Abir Jaafar HussainAbir Hussain
Horace Ho-Shing IpHorace H. S. Ip
George W. Irwin
Boya Ji
Zhen Ji
Zhiwei Ji
Wei Jia 0001
Changjun Jiang
Wen Jiang
Wen Jiang 0001
Xuesong Jiang
Yong-Li Jiang
Zhichao Jiang
Baohua Jin
Duo Jin
Jing Jin
Junfeng Jing
Kang-Hyun Jo
Hee-Jun Kang
Byungmin Kim
Jisu Kim
Xiangzhen Kong
Chee Keong Kwoh 0001
Qi Lai
Ken Chee-keung LawKen C. K. Law
Hong-Hee Lee
Ying-Ke Lei
Daniel S. Levine 0001
Andong Li
Bo Li 0002
Chong-Ya Li
Dayuan Li
Guo-Zheng Li 0001
Hai Li 0006
He Li 0006
Jianqiang Li
Jianqiang Li 0001
Kai Li
Kang Li 0002
Ning Li
Qinyu Li
Shenghong Li 0001
Xiaoou Li
Xuejiao Li
Xueling Li
Yixue LiYi-Xue Li
Zhengwei LiZheng-Wei Li
Zhi-Peng Li
Jiuzhen Liang
Xianpeng Liang
Wenrui Liao
Longnian Lin
Yong-Jun Lin
Haibin Ling
Qing-Hua Ling
Paulo J. G. LisboaPaulo Lisboa
Bin Liu 0014
Jiming Liu 0001
Keqin Liu
Kunhong Liu 0001KunHong Liu 0001
Ling-Feng Liu
Meijuan Liu
Qi Liu 0019
Qing-Yi Liu
Yixin Liu
Tat-Ming Lok
Marco Loog
Canyi LuCan-Yi Lu
Michael R. Lyu
Jianhua Ma
Xiaoke Ma
Erke Mao
Kezhi MaoKe Zhi Mao
Valentin Maranescu
T. Martin McGinnity
Guanmin Meng
Jian-Xun Mi
Hai Min
Asoke K. Nandi
Vincent T. Y. NgVincent To-Yee NgTo-Yee Ng
Ngoc Thanh Nguyen 0001
Yi Pan 0001
Byunkyu Park
Shun Pei
Chen Peng
Jian Xun Peng
Prashan Premaratne
Shaojie Qiao
Xiao Qin 0005
Bo-Yang QuBoyang Qu
Zhong-Hua Quan
Marcos G. Quiles
Naeem Radi
Yi Ren
Jean-Michel Richer
Roseli A. Francelin Romero
Tie-Hua Rong
Asim Roy
Li Shang
Hao Shen
Zhen Shen
Ming-Guang Shi
Simon C. K. ShiuSimon Chi-Keung Shiu
Jun Shu
Chee Kheong Siew
Wan-Chi Siu
Jiangning Song
Yuqing Song 0001
Hai-Long Su
Liangcai Su
Xiao-Rui SuXiaorui Su
Bing-Yu Sun
Jian-Hong Sun
Zhan-Li Sun
Qinglin Tan
Lei Tang
Yuan Yan Tang
Dacheng Tao
Pengrui Teng
Weidong Tian
Virgil Tiponut
Joe Tsien
Chi-Man Vong
Bing Wang 0004
Chao Wang 0071
Dailun Wang
DeLiang Wang
Dong Wang
Gang Wang
Hanli Wang
Hong-Qiang Wang
Hongzhi Wang 0007
Jianxin Wang 0001Jian-Xin Wang 0001
Lei Wang 0121
Liming WangLi-Ming Wang
Ling Wang 0001
Qicong Wang
Shu-Lin Wang
Shu-Ling Wang
Siguo Wang
Xiao Wang 0009
Xiaofeng WangXiao-Feng Wang
Yanbin WangYan-Bin Wang
Yin-Ying Wang
Ying Wang
Yu-Ping Wang 0002
Zengfu Wang
Zhen Wang
Jiangchuan Wei
Xiumei Wei
Guo-Zhu Wen
Li-Hua Wen
Fan Weng
Hau-San Wong
Leon Wong
Di Wu 0030
Min Wu
Ya-Qi Wu
Yong Wu
Donald C. Wunsch II
Junfeng Xia
Xiao-Lei Xia
Chun-Gui Xu
Huan Xu
Yong Xu
Youhong Xu
Shuicheng Yan
Xing Yan
Bin Yang 0017
Chun Yang
Dan Yang
Fan Yang
Hong-Wei Yang
Kai Yang
Li-Na Yang
Xing-Ming Yang
Yuannong Ye
Hai-Cheng Yi
Yun Yi
Zheng Yin
Jae Soo YooJaesoo Yoo
Zhu-Hong YouZhuhong You
Hong-Jie Yu
Wen Yu 0001
Wenbo Yu
Chang-an Yuan 0001Chang-An Yuan 0001
Changan Yuan
Jing-Hua Yuan
Lin Yuan
Xiao-Qiang Yue
Zhigang Zeng
David Zhang 0001
Fa Zhang 0001
Guang-Zheng Zhang
Guo-Jun Zhang
Hongbo ZhangHong-Bo Zhang
Jun Zhang 0011
Jun Zhang 0032
Kun Zhang
Lei Zhang 0006
Lijun Zhang
Mingyi Zhang
Qinhu Zhang
Qiuwen Zhang
Shanwen Zhang
Shiwu Zhang
Xiang Zhang
Xiao-Long Zhang
Xiao-Ping Zhang 0002Xiao-Ping (Steven) Zhang
Xiaolong Zhang 0002
Yindong Zhang
You-Hua Zhang
Youhua Zhang
Bo-Wei ZhaoBowei Zhao
Jiawang Zhao
Liang Zhao 0001
Wenbo ZhaoWen-Bo Zhao
Xin-Yong Zhao
Xing-Ming Zhao
Yang Zhao
Yang Zhao 0002
Zhong-Qiu Zhao
Zhongming Zhao
Chun-Hou Zheng
Chun-Hou Zheng 0001Chunhou Zheng 0001
Kai Zheng 0020
Si-Jia Zheng
Yang Zheng
Fengfeng Zhou
Jianhang Zhou
Xiang Zhou
Xiaobo Zhou
Xiaobo Zhou 0001
Yong-Quan Zhou
Guanghui Zhu
Hao-Dong Zhu
Jiansheng Zhu
Lin Zhu 0008
Ling Zhu
Tao Zhu
Xiao-Bo Zhu
Xingjie Zhu
Yihai ZhuYi-Hai Zhu
Yunping Zhu
Zhi-Hua Zhu
Liang Zou