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ORCIDPeng Chen 0001
陳鵬
Person information
- unicode name: 陳鵬
- affiliation: Anhui University, Institute of Health Sciences, Hefei, China
- affiliation (former): King Abdullah University of Science and Technology, Mathematical and Computer Sciences and Engineering Division
- affiliation (former): Chinese Academy of Science, Institute of Intelligent Machines (IIM)
Other persons with the same name
- Peng Chen — disambiguation page
- Peng Chen 0002
![[0000-0001-6276-1356]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6276-1356")
— Mie University, Faculty of Bioresources, Tsu, Japan (and 1 more) - Peng Chen 0003 — Central South University, Changsha
- Peng Chen 0004 — University of Science and Technology of China
- Peng Chen 0005 — East China Normal University
- Peng Chen 0006 — Florida State University (and 1 more)
- Peng Chen 0007 — Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
- Peng Chen 0008 — Zhejiang University, College of Information and Engineering, Hangzhou, China
- Peng Chen 0009 — Beijing University of Posts and Telecommunications
- Peng Chen 0010 — Kyushu Institute of Technology
- Peng Chen 0011 — China Three Gorges University
- Peng Chen 0012 — University of North Texas
- Peng Chen 0013 — North China University of Water Conservancy and Hydroelectric Power
- Peng Chen 0014 — Peking University, Shenzhen, China
- Peng Chen 0015 — Indiana University, Bloomington, USA
- Peng Chen 0016 — ETH Zurich, Switzerland
- Peng Chen 0017 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China
- Peng Chen 0018 — Southeast University, School of Information Science and Engineering, Nanjing, China (and 1 more)
- Peng Chen 0019 — State Oceanic Administration, Hangzhou, China
- Peng Chen 0020 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Peng Chen 0021 — Beihang University, School of Transportation Science and Engineering, Beijing, China
- Peng Chen 0022 — University College Dublin, School of Electrical and Electronic Engineering, Ireland (and 1 more)
- Peng Chen 0023 — Second Institute of Oceanography, State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou, China (and 1 more)
- Peng Chen 0024 — University of Texas at Austin, Institute for Computational Engineering and Sciences, Austin, TX, USA
- Peng Chen 0025 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
- Peng Chen 0026 — Dalian Maritime University, Navigation College, Dalian, China (and 1 more)
- Peng Chen 0027 — National University of Singapore, Singapore (and 1 more)
- Peng Chen 0028 — China Telecom, Technology Innovation Center, Beijing, China
- Peng Chen 0029 — Microsoft Research and AI Group, Beijing, China
- Peng Chen 0030 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Peng Chen 0031 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Peng Chen 0032 — Shanghai Maritime University, Department of Computer Science and Technology, China
- Peng Chen 0033 — Jilin University, Second Hospital, Changchun, China
- Peng Chen 0034 — ByteDance AI Lab, Beijing, China (and 1 more)
- Peng Chen 0035 — National Institute of Advanced Industrial Science and Technology, Japan, RIKEN Center for Computational Science, Tokyo, Japan (and 1 more)
- Peng Chen 0036 — Dalian Maritime University of China, Navigation College, Key Laboratory of Transport Industry of Intelligent Water Transportation, China
- Peng Chen 0037 — University of Adelaide, School of Computer Science, SA, Australia (and 2 more)
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2020 – today
- 2023
[j53]Yongkangjian Fang, Yi Xia, Peng Chen, Jun Zhang, Yongliang Zhang:
A dual-stream deep neural network integrated with adaptive boosting for sleep staging. Biomed. Signal Process. Control. 79(Part): 104150 (2023)- [j52]Yi Xia, Yangyang Xu, Peng Chen, Jun Zhang, Yongliang Zhang:
Generative adversarial network with transformer generator for boosting ECG classification. Biomed. Signal Process. Control. 80(Part): 104276 (2023) - [j51]Gaoqiang Li, Lin Jiao, Peng Chen, Kang Liu, Rujing Wang, Shifeng Dong, Chenrui Kang:
Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background. Comput. Electron. Agric. 212: 108121 (2023) - [j50]Lin Jiao, Chenrui Kang, Shifeng Dong, Peng Chen, Gaoqiang Li, Rujing Wang:
An attention-based feature pyramid network for single-stage small object detection. Multim. Tools Appl. 82(12): 18529-18544 (2023) - [j49]Peng Chen, Huimin Shen, Youzhi Zhang, Bing Wang, Pengying Gu:
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3257-3266 (2023) - [j48]Xin Xiang, Zenghui Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang:
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c46]Lang Xu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen:
Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers. ICIC (5) 2023: 277-287 - [c45]Zihan Niu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen:
Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly. ICIC (5) 2023: 288-298 - [c44]YaTe Liu, Chun-Hou Zheng, Jun Zhang, Bing Wang, Peng Chen:
Collaborative Encoder for Accurate Inversion of Real Face Image. ICIC (2) 2023: 498-505 - [c43]Lejun Pan, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Jiawei Ni, Chenlin Zhu, Bing Wang:
Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach. ICIC (2) 2023: 601-613 - [c42]Chenlin Zhu, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Jiawei Ni, Bing Wang:
Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT. ICIC (2) 2023: 614-625 - [c41]Jiawei Ni, Bing Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Chenlin Zhu, Bing Wang, Wenyan Wang:
Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2. ICIC (2) 2023: 626-638 - 2022
- [j47]Lin Jiao, Chengjun Xie, Peng Chen, Jianming Du, Rui Li, Jie Zhang:
Adaptive feature fusion pyramid network for multi-classes agricultural pest detection. Comput. Electron. Agric. 195: 106827 (2022) - [j46]Minjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang, Yuming Zhou, Zhaoquan Chen, Dan Li, Shicheng Zheng, Peng Chen, Bing Wang:
Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3646-3654 (2022) - [j45]Wenyan Wang, Chunfeng Mi, Ziheng Wu, Kun Lu, Hongming Long, Baigen Pan, Dan Li, Jun Zhang, Peng Chen, Bing Wang:
A Real-Time Steel Surface Defect Detection Approach With High Accuracy. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j44]Zenghui Wang, Jun Zhang, Xiaochu Zhang, Peng Chen, Bing Wang:
Transformer Model for Functional Near-Infrared Spectroscopy Classification. IEEE J. Biomed. Health Informatics 26(6): 2559-2569 (2022) - [c40]Xinghui Zhang, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang:
A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction. ICIC (1) 2022: 753-762 - [c39]Fazhan Zhu, Jiaxing Lv, Kun Lu, Wenyan Wang, Hongshou Cong, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu:
A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features. ICIC (1) 2022: 772-786 - [c38]Jiaxing Lv, Fazhan Zhu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu:
COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation. ICIC (1) 2022: 787-798 - 2021
- [j43]Rujing Wang, Lin Jiao, Chengjun Xie, Peng Chen, Jianming Du, Rui Li:
S-RPN: Sampling-balanced region proposal network for small crop pest detection. Comput. Electron. Agric. 187: 106290 (2021) - [j42]Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang:
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. Neurocomputing 437: 21-30 (2021) - [j41]Qianqian Wang, Jun Zhang, Peng Chen, Bing Wang:
Automatic estimation of road visibility in foggy weather based on image feature statistics. J. Electronic Imaging 30(5) (2021) - [j40]Wenyan Wang, Jun Zhang, Fang Zhou, Peng Chen, Bing Wang:
Paper acceptance prediction at the institutional level based on the combination of individual and network features. Scientometrics 126(2): 1581-1597 (2021) - [j39]Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong:
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 985-994 (2021) - [j38]Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang:
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1026-1034 (2021) - [j37]ShanShan Hu, DeNan Xia, Benyue Su, Peng Chen, Bing Wang, Jin-Yan Li:
A Convolutional Neural Network System to Discriminate Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1315-1324 (2021) - 2020
- [j36]Peng Chen, Qingxin Xiao, Jun Zhang, Chengjun Xie, Bing Wang:
Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. Comput. Electron. Agric. 176: 105612 (2020) - [j35]Kai-Chao Miao, Ting-Ting Han, Ye-Qing Yao, Hui Lu, Peng Chen, Bing Wang, Jun Zhang:
Application of LSTM for short term fog forecasting based on meteorological elements. Neurocomputing 408: 285-291 (2020) - [j34]Tao Fang, Peng Chen, Jun Zhang, Bing Wang:
Crop leaf disease grade identification based on an improved convolutional neural network. J. Electronic Imaging 29(1): 013004 (2020) - [j33]Qian Yan, Baohua Yang, Wenyan Wang, Bing Wang, Peng Chen, Jun Zhang:
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. Sensors 20(12): 3535 (2020) - [j32]ShanShan Hu, Peng Chen, Pengying Gu, Bing Wang:
A Deep Learning-Based Chemical System for QSAR Prediction. IEEE J. Biomed. Health Informatics 24(10): 3020-3028 (2020) - [c37]Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen:
Discrete Haze Level Dehazing Network. ACM Multimedia 2020: 1828-1836
2010 – 2019
- 2019
- [j31]Qingxin Xiao, Weilu Li, Yuanzhong Kai, Peng Chen, Jun Zhang, Bing Wang:
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. BMC Bioinform. 20-S(25): 688 (2019) - [j30]ShanShan Hu, Chenglin Zhang, Peng Chen, Pengying Gu, Jun Zhang, Bing Wang:
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. 20-S(25): 689 (2019) - [j29]Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang:
Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. 20-S(25): 699 (2019) - [j28]Muchun Zhu, Xiaoping Song, Peng Chen, Wenyan Wang, Bing Wang:
dbHDPLS: A database of human disease-related protein-ligand structures. Comput. Biol. Chem. 78: 353-358 (2019) - [j27]Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng:
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019) - [j26]Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang:
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors 19(19): 4161 (2019) - [c36]Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang:
Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions. ICIC (1) 2019: 274-283 - [c35]Wenyan Wang, Guangyu Wang, Jun Zhang, Peng Chen, Bing Wang:
Ranking Research Institutions Based on the Combination of Individual and Network Features. ICIC (3) 2019: 443-454 - [c34]Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang, Peng Chen, Bing Wang:
An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column. ICIC (3) 2019: 468-478 - [c33]Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Urine Sediment Detection Based on Deep Learning. ICIC (1) 2019: 543-552 - [c32]Tao Fang, Peng Chen, Jun Zhang, Bing Wang:
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) 2019: 553-564 - [c31]Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Bing Wang:
Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. ICIC (2) 2019: 558-568 - 2018
- [j25]Yanhua Qiao, Yi Xiong, Hongyun Gao, Xiaolei Zhu, Peng Chen:
Protein-protein interface hot spots prediction based on a hybrid feature selection strategy. BMC Bioinform. 19(1): 14:1-14:16 (2018) - [j24]Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li:
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. 19(1): 455:1-455:7 (2018) - [j23]Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li:
Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. 12(9): 132 (2018) - [j22]Chengjun Xie, Rujing Wang, Jie Zhang, Peng Chen, Wei Dong, Rui Li, Tianjiao Chen, Hongbo Chen:
Multi-level learning features for automatic classification of field crop pests. Comput. Electron. Agric. 152: 233-241 (2018) - [j21]DeNan Xia, Peng Chen, Bing Wang, Jun Zhang, Chengjun Xie:
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18(12): 4169 (2018) - [c30]Jun Zhang, Hui Lu, Yi Xia, Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Peng Chen, Bing Wang:
Deep Convolutional Neural Network for Fog Detection. ICIC (2) 2018: 1-10 - [c29]Qingxin Xiao, Weilu Li, Peng Chen, Bing Wang:
Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network. ICIC (2) 2018: 11-16 - [c28]Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Cells Counting with Convolutional Neural Network. ICIC (3) 2018: 102-111 - [c27]Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Hui Lu, Peng Chen, Xia Yi, Bing Wang, Jun Zhang:
Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements. ICIC (3) 2018: 143-148 - [c26]Yan-Zhe Di, Peng Chen, Chun-Hou Zheng:
Similarity-Based Integrated Method for Predicting Drug-Disease Interactions. ICIC (2) 2018: 395-400 - [c25]ShanShan Hu, DeNan Xia, Peng Chen, Bing Wang:
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. ICIC (2) 2018: 432-437 - [c24]Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang, Peng Chen, Jun Zhang:
Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. ICIC (2) 2018: 460-469 - [c23]Wei-wei Gao, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) 2018: 503-512 - [c22]Lili Peng, Fang Chen, Nian Zhou, Peng Chen, Jun Zhang, Bing Wang:
Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. ICIC (1) 2018: 697-702 - [c21]Peng Chen, Yongmei Chen, Beibei Jin:
A new soft assignment K-means algorithm. ICMLSC 2018: 57-61 - 2017
- [j20]Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang:
Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning. Neurocomputing 228: 11-18 (2017) - [j19]Jun Zhang, Muchun Zhu, Peng Chen, Bing Wang:
DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing 228: 256-262 (2017) - [j18]Jun Zhang, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen:
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing 240: 183-190 (2017) - [j17]Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen, Chengjun Xie:
Robust object tracking via multi-scale patch based sparse coding histogram. Multim. Tools Appl. 76(10): 12181-12203 (2017) - [c20]Feng-Lin Du, Jia-Xing Li, Zhi Yang, Peng Chen, Bing Wang, Jun Zhang:
CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) 2017: 597-605 - [c19]Wenyan Wang, Kun Lu, Rui Hong, Peng Chen, Jun Zhang, Bing Wang:
A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm. ICIC (1) 2017: 600-611 - 2016
- [j16]Jun Zhang, Yi Xia, Chun-Hou Zheng, Bing Wang, Xiang Zhang, Peng Chen:
Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. 15(1): 84-100 (2016) - [j15]Peng Chen, ShanShan Hu, Jun Zhang, Xin Gao, Jinyan Li, Junfeng Xia, Bing Wang:
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 901-912 (2016) - [c18]ShanShan Hu, Peng Chen, Jun Zhang, Bing Wang:
Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence. ICIC (1) 2016: 422-431 - [c17]Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang, Peng Chen:
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. ICIC (1) 2016: 742-749 - [c16]Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang:
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) 2016: 775-783 - [c15]Hao Shen, Wen Zhang, Peng Chen, Jun Zhang, Aiqin Fang, Bing Wang:
A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. IWBBIO 2016: 71-81 - 2015
- [j14]Chengjun Xie, Jie Zhang, Rui Li, Jinyan Li, Peilin Hong, Junfeng Xia, Peng Chen:
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning. Comput. Electron. Agric. 119: 123-132 (2015) - [c14]Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang:
A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting. ICIC (3) 2015: 323-330 - [c13]Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang:
Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. ICIC (2) 2015: 379-389 - [c12]Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen, Chun-Hou Zheng:
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. ICIC (2) 2015: 520-529 - [c11]Li-Li Cao, Zhi-Shui Zhang, Peng Chen, Jun Zhang:
Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. ICIC (3) 2015: 686-692 - [c10]Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang:
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) 2015: 693-699 - [c9]Bing Wang, Liyan Du, Jun Zhang, Peng Chen:
A hierarchical model for identifying mild cognitive impairment. ICNC 2015: 599-604 - 2014
- [j13]Peng Chen, Jianhua Z. Huang, Xin Gao:
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. BMC Bioinform. 15(S-15): S4 (2014) - [j12]Chuanxi Li, Peng Chen, Rujing Wang, Xiu-Jie Wang, Yaru Su, Jinyan Li:
PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology. Int. J. Data Min. Bioinform. 10(1): 98-119 (2014) - [j11]Yaru Su, Chuanxi Li, Rujing Wang, Peng Chen:
Sparse Representation-Based Approach for Unsupervised Feature Selection. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [j10]Chuanxi Li, Rujing Wang, Peng Chen, He Huang, Yaru Su:
Interaction Relation Ontology Learning. J. Comput. Biol. 21(1): 80-88 (2014) - [j9]Chengjun Xie, Jieqing Tan, Peng Chen, Jie Zhang, Lei He:
Collaborative object tracking model with local sparse representation. J. Vis. Commun. Image Represent. 25(2): 423-434 (2014) - [j8]Chengjun Xie, Jieqing Tan, Peng Chen, Jie Zhang, Lei He:
Multi-scale patch-based sparse appearance model for robust object tracking. Mach. Vis. Appl. 25(7): 1859-1876 (2014) - 2013
- [j7]Bing Wang, Jun Zhang, Peng Chen, Zhiwei Ji, Shuping Deng, Chi Li:
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinform. 14(S-8): S9 (2013) - [j6]Chengjun Xie, Jieqing Tan, Peng Chen, Jie Zhang, Lei He:
Multiple instance learning tracking method with local sparse representation. IET Comput. Vis. 7(5): 320-334 (2013) - [c8]Peng Chen:
Consensus of Sample-Balanced Classifiers for Identifying Ligand-Binding Residue by Co-evolutionary Physicochemical Characteristics of Amino Acids. ICIC (3) 2013: 206-212 - 2012
- [j5]Peng Chen, Limsoon Wong, Jinyan Li:
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1155-1165 (2012) - 2011
- [c7]Bing Wang, Peng Chen, Jun Zhang:
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) 2011: 448-452 - [c6]Yaru Su, Rujing Wang, Chuanxi Li, Peng Chen:
A dynamic subspace learning method for tumor classification using microarray gene expression data. ICNC 2011: 396-400 - 2010
- [j4]Peng Chen, Jinyan Li:
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information. BMC Bioinform. 11: 402 (2010) - [j3]Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster:
Prediction of inter-residue contact clusters from hydrophobic cores. Int. J. Data Min. Bioinform. 4(6): 722-734 (2010)
2000 – 2009
- 2009
- [j2]Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster:
Protein fold Classification with Genetic Algorithms and Feature Selection. J. Bioinform. Comput. Biol. 7(5): 773-788 (2009) - [c5]Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay S. Gloster Jr., Bing Wang:
IRCDB: A Database of Inter-residues Contacts in Protein Chains. DBKDA 2009: 1-6 - 2008
- [j1]Peng Chen, De-Shuang Huang, Xing-Ming Zhao, Xueling Li:
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. Int. J. Bioinform. Res. Appl. 4(2): 123-136 (2008) - [c4]Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster:
Prediction of Inter-residue Contact Clusters from Hydrophobic Cores. ICMLA 2008: 703-708 - 2007
- [c3]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 - 2006
- [c2]Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang:
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330 - [c1]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336
Coauthor Index
[j49] [j48] [c46] [c45] [c43] [c42] [c41] [j46] [j45] [j44] [c40] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [c37] [j31] [j30] [j29] [j28] [j27] [j26] [c36] [c35] [c34] [c33] [c32] [c31] [j24] [j23] [j21] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [j20] [j19] [j18] [c20] [c19] [j16] [j15] [c18] [c17] [c16] [c15] [c14] [c13] [c10] [c9] [j7] [c7] [c5] [c3] [c2] [c1]
[j53] [j48] [c46] [c45] [c43] [c42] [c41] [j46] [j45] [j44] [c40] [c39] [c38] [j42] [j41] [j40] [j39] [j36] [j35] [j34] [j33] [c37] [j31] [j30] [j29] [j27] [j26] [c36] [c35] [c34] [c33] [c32] [c31] [j24] [j23] [j21] [c30] [c28] [c27] [c24] [c23] [c22] [j20] [j19] [j18] [c20] [c19] [j16] [j15] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j7] [c7]
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last updated on 2024-04-25 05:52 CEST by the dblp team
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