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- affiliation: Xi'an Jiaotong University, China
- affiliation (former): IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (former): University Of California, Davis, CA, USA
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2020 – today
- 2023
[j14]Xianli Zhang
, Buyue Qian, Yang Li, Shilei Cao, Ian Davidson:
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability. IEEE Trans. Knowl. Data Eng. 35(4): 3551-3562 (2023)- [c46]Shilei Cao, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li:
Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation. SDM 2023: 73-81 - 2022
- [c45]Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM 2022: 2169-2178 - [c44]Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li:
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. ICDM 2022: 598-607 - [c43]Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li:
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. ICDM 2022: 713-722 - 2021
- [c42]Xiaoyu Li, Chen Li, Xian Xu, Yuhua Wei, Jishang Wei, Yuyao Sun, Buyue Qian, Xiao Xu:
Towards Generalization of Cardiac Abnormality Classification Using ECG Signal. CinC 2021: 1-4 - [c41]Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian:
BaT: Beat-aligned Transformer for Electrocardiogram Classification. ICDM 2021: 320-329 - [c40]Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li:
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. ICDM 2021: 340-349 - [c39]Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li:
Learning to Reweight Samples with Offline Loss Sequence. ICDM 2021: 719-728 - [c38]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. ISBI 2021: 921-924 - [c37]Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li:
Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach. SDM 2021: 585-593 - [c36]Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. WWW 2021: 3349-3358 - [i7]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation. CoRR abs/2107.08715 (2021) - 2020
- [j13]YangYang Lan, Yazhou Hao, Kui Xia, Buyue Qian, Chen Li:
Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification. IEEE Access 8: 70401-70410 (2020) - [j12]Yang Li, Buyue Qian, Xianli Zhang, Hui Liu:
Graph Neural Network-Based Diagnosis Prediction. Big Data 8(5): 379-390 (2020) - [j11]Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang:
An interpretable risk prediction model for healthcare with pattern attention. BMC Medical Informatics Decis. Mak. 20-S(11): 307 (2020) - [c35]Rongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, Yinggang Pan:
Rethinking Dice Loss for Medical Image Segmentation. ICDM 2020: 851-860 - [c34]Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson:
INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. KDD 2020: 450-460 - [c33]Yang Li, Buyue Qian, Xianli Zhang, Hui Liu:
Knowledge guided diagnosis prediction via graph spatial-temporal network. SDM 2020: 19-27 - [i6]Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. CoRR abs/2009.02625 (2020)
2010 – 2019
- 2019
- [j10]Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian:
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. Inf. Sci. 477: 508-532 (2019) - [c32]Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen:
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. AAAI 2019: 8885-8892 - [c31]Xiaoyu Li, Buyue Qian, Jishang Wei, Xianli Zhang, Sirui Chen, Qinghua Zheng:
Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation. CIKM 2019: 129-138 - [c30]Xiaoyu Li, Buyue Qian, Jishang Wei, An Li, Xuan Liu, Qinghua Zheng:
Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network. ICDM 2019: 389-398 - [c29]Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng:
Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network. ICDM 2019: 728-737 - [c28]Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang:
Domain Knowledge Guided Deep Learning with Electronic Health Records. ICDM 2019: 738-747 - [c27]Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng:
KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. ICDM 2019: 1492-1497 - [c26]Xianli Zhang, Yinbin Zhang, Buyue Qian, Xiaotong Liu, Xiaoyu Li, Xudong Wang, Changchang Yin, Xin Lv, Lingyun Song, Liang Wang:
Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture. IWBBIO (1) 2019: 204-215 - [c25]Feiqian Wang, Xiaotong Liu, Buyue Qian, Litao Ruan, Rongjian Zhao, Changchang Yin, Na Yuan, Rong Wei, Xin Ma, Jishang Wei:
Spatial Attention Lesion Detection on Automated Breast Ultrasound. IWBBIO (1) 2019: 216-227 - [c24]Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng:
An Interpretable Fast Model for Predicting The Risk of Heart Failure. SDM 2019: 576-584 - [i5]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. CoRR abs/1902.03376 (2019) - [i4]Feng Tian, Jia Yue, Kuo-Ming Chao, Buyue Qian, Nazaraf Shah, Longzhuang Li, Haiping Zhu, Yan Chen, Bin Zeng, Qinghua Zheng:
Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving. CoRR abs/1906.03074 (2019) - 2018
- [j9]Lingyun Song, Jun Liu, Buyue Qian, Mingxuan Sun, Kuan Yang, Meng Sun, Samar Abbas:
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. IEEE Trans. Image Process. 27(12): 6025-6038 (2018) - [c23]Zilong Bai, Buyue Qian, Ian Davidson:
Discovering Models from Structural and Behavioral Brain Imaging Data. KDD 2018: 1128-1137 - [c22]Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li:
EEG-based Motion Intention Recognition via Multi-task RNNs. SDM 2018: 279-287 - 2017
- [j8]Siyun Chen, Ting Liu, Feng Gao, Jianting Ji, Zhanbo Xu, Buyue Qian, Hongyu Wu, Xiaohong Guan:
Butler, Not Servant: A Human-Centric Smart Home Energy Management System. IEEE Commun. Mag. 55(2): 27-33 (2017) - [j7]Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang:
Sparse Relational Topical Coding on multi-modal data. Pattern Recognit. 72: 368-380 (2017) - [c21]Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson:
Knowledge Guided Short-Text Classification for Healthcare Applications. ICDM 2017: 31-40 - [c20]Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson:
Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. ICDM 2017: 575-584 - [c19]Weifeng Zhi, Buyue Qian, Ian Davidson:
Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. ICDM 2017: 1201-1206 - [c18]Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng:
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. IJCAI 2017: 2421-2427 - [i3]Meng Wang, Mengyue Liu, Jun Liu, Sen Wang, Guodong Long, Buyue Qian:
Safe Medicine Recommendation via Medical Knowledge Graph Embedding. CoRR abs/1710.05980 (2017) - 2016
- [j6]Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng:
Sparse Multi-Modal Topical Coding for Image Annotation. Neurocomputing 214: 162-174 (2016) - [j5]Ziqi Liu, Qinghua Zheng, Fei Wang, Buyue Qian:
Nonparametric models for characterizing the topical communities in social network. Neurocomputing 216: 439-450 (2016) - [c17]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. ICDM 2016: 749-758 - [c16]Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei:
Low-Rank Sparse Feature Selection for Patient Similarity Learning. ICDM 2016: 1335-1340 - 2015
- [j4]Buyue Qian, Xiang Wang, Nan Cao, Hongfei Li, Yu-Gang Jiang:
A relative similarity based method for interactive patient risk prediction. Data Min. Knowl. Discov. 29(4): 1070-1093 (2015) - [j3]Buyue Qian, Xiang Wang, Jieping Ye, Ian Davidson:
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning. IEEE Trans. Knowl. Data Eng. 27(3): 594-607 (2015) - [c15]Buyue Qian, Xiang Wang, Ian Davidson:
Propagating Ranking Functions on a Graph: Algorithms and Applications. AAAI 2015: 1833-1839 - 2014
- [j2]Xiang Wang, Buyue Qian, Ian Davidson:
On constrained spectral clustering and its applications. Data Min. Knowl. Discov. 28(1): 1-30 (2014) - [j1]Buyue Qian, Xiang Wang, Nan Cao, Yu-Gang Jiang, Ian Davidson:
Learning Multiple Relative Attributes With Humans in the Loop. IEEE Trans. Image Process. 23(12): 5573-5585 (2014) - [c14]Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson:
Clinical risk prediction with multilinear sparse logistic regression. KDD 2014: 145-154 - [c13]Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson:
Self-Taught Spectral Clustering via Constraint Augmentation. SDM 2014: 416-424 - 2013
- [c12]Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson:
Clustering with Complex Constraints - Algorithms and Applications. AAAI 2013: 1056-1062 - [c11]Hongfei Li, Buyue Qian, Dhaivat Parikh, Arun Hampapur:
Alarm prediction in large-scale sensor networks - A case study in railroad. IEEE BigData 2013: 7-14 - [c10]Sean Gilpin, Buyue Qian, Ian Davidson:
Efficient hierarchical clustering of large high dimensional datasets. CIKM 2013: 1371-1380 - [c9]Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson:
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank. ICDM 2013: 607-616 - [c8]Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu:
Exploring Patient Risk Groups with Incomplete Knowledge. ICDM 2013: 1223-1228 - [c7]Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson:
Active Learning from Relative Queries. IJCAI 2013: 1614-1620 - [c6]Ian Davidson, Buyue Qian, Xiang Wang, Jieping Ye:
Multi-objective Multi-view Spectral Clustering via Pareto Optimization. SDM 2013: 234-242 - [c5]Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang:
Active Learning to Rank using Pairwise Supervision. SDM 2013: 297-305 - 2012
- [c4]Xiang Wang, Buyue Qian, Ian Davidson:
Improving document clustering using automated machine translation. CIKM 2012: 645-653 - [c3]Xiang Wang, Buyue Qian, Ian Davidson:
Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering. ICDM 2012: 1146-1151 - [i2]Xiang Wang, Buyue Qian, Ian Davidson:
On Constrained Spectral Clustering and Its Applications. CoRR abs/1201.5338 (2012) - [i1]Buyue Qian, Xiang Wang, Ian Davidson:
A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning. CoRR abs/1202.0855 (2012) - 2010
- [c2]Buyue Qian, Ian Davidson:
Semi-Supervised Dimension Reduction for Multi-Label Classification. AAAI 2010: 569-574
2000 – 2009
- 2009
- [c1]Wei Liu, Buyue Qian, Jingyu Cui, Jianzhuang Liu:
Spectral Kernel Learning for Semi-Supervised Classification. IJCAI 2009: 1150-1155
Coauthor Index
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