Spectral Kernel Learning for Semi-Supervised Classification. - Wei Liu 005; Buyue Qian; Jingyu Cui; Jianzhuang Liu (IJCAI, 2009)

Semi-Supervised Dimension Reduction for Multi-Label Classification. - Buyue Qian; Ian Davidson (AAAI, 2010)

Improving document clustering using automated machine translation. - Xiang Wang 001; Buyue Qian; Ian Davidson (CIKM, 2012)

Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering. - Xiang Wang 001; Buyue Qian; Ian Davidson (ICDM, 2012)

A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning - Buyue Qian; Xiang Wang 001; Ian Davidson (CoRR, 2012)

Clustering with Complex Constraints - Algorithms and Applications. - Weifeng Zhi; Xiang Wang 001; Buyue Qian; Patrick Butler; Naren Ramakrishnan; Ian Davidson (AAAI, 2013)

Alarm prediction in large-scale sensor networks - A case study in railroad. - Hongfei Li; Buyue Qian; Dhaivat Parikh; Arun Hampapur (IEEE BigData, 2013)

Efficient hierarchical clustering of large high dimensional datasets. - Sean Gilpin; Buyue Qian; Ian Davidson (CIKM, 2013)

Fast Pairwise Query Selection for Large-Scale Active Learning to Rank. - Buyue Qian; Xiang Wang 001; Jun Wang 006; Hongfei Li; Nan Cao 001; Weifeng Zhi; Ian Davidson (ICDM, 2013)

Exploring Patient Risk Groups with Incomplete Knowledge. - Xiang Wang 001; Fei Wang 001; Jun Wang 006; Buyue Qian; Jianying Hu (ICDM, 2013)

Active Learning from Relative Queries. - Buyue Qian; Xiang Wang 001; Fei Wang 001; Hongfei Li; Jieping Ye; Ian Davidson (IJCAI, 2013)

Active Learning to Rank using Pairwise Supervision. - Ian Davidson; Hongfei Li; Buyue Qian; Jun Wang 006; Xiang Wang 001 (SDM, 2013)

Multi-objective Multi-view Spectral Clustering via Pareto Optimization. - Ian Davidson; Buyue Qian; Xiang Wang 001; Jieping Ye (SDM, 2013)

Clinical risk prediction with multilinear sparse logistic regression. - Fei Wang 001; Ping Zhang 016; Buyue Qian; Xiang Wang 001; Ian Davidson (KDD, 2014)

Self-Taught Spectral Clustering via Constraint Augmentation. - Xiang Wang 001; Jun Wang 006; Buyue Qian; Fei Wang 001; Ian Davidson (SDM, 2014)

On constrained spectral clustering and its applications. - Xiang Wang 001; Buyue Qian; Ian Davidson (Data Min. Knowl. Discov., 2014)

Learning Multiple Relative Attributes With Humans in the Loop. - Buyue Qian; Xiang Wang 001; Nan Cao 001; Yu-Gang Jiang 001; Ian Davidson (IEEE Trans. Image Process., 2014)

Propagating Ranking Functions on a Graph: Algorithms and Applications. - Buyue Qian; Xiang Wang 001; Ian Davidson (AAAI, 2015)

A relative similarity based method for interactive patient risk prediction. - Buyue Qian; Xiang Wang 001; Nan Cao 001; Hongfei Li; Yu-Gang Jiang 001 (Data Min. Knowl. Discov., 2015)

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning. - Buyue Qian; Xiang Wang 001; Jieping Ye; Ian Davidson (IEEE Trans. Knowl. Data Eng., 2015)

Low-Rank Sparse Feature Selection for Patient Similarity Learning. - Mengting Zhan; Shilei Cao 001; Buyue Qian; Shiyu Chang; Jishang Wei (ICDM, 2016)

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. - Zihao Zhu; Changchang Yin; Buyue Qian; Yu Cheng; Jishang Wei; Fei Wang 001 (ICDM, 2016)

Nonparametric models for characterizing the topical communities in social network. - Ziqi Liu; Qinghua Zheng; Fei Wang 001; Buyue Qian (Neurocomputing, 2016)

Sparse Multi-Modal Topical Coding for Image Annotation. - Lingyun Song; Minnan Luo; Jun Liu 002; Lingling Zhang 005; Buyue Qian; Max Haifei Li; Qinghua Zheng (Neurocomputing, 2016)

Knowledge Guided Short-Text Classification for Healthcare Applications. - Shilei Cao 001; Buyue Qian; Changchang Yin; Xiaoyu Li 007; Jishang Wei; Qinghua Zheng; Ian Davidson (ICDM, 2017)

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. - Changchang Yin; Buyue Qian; Shilei Cao 001; Xiaoyu Li 007; Jishang Wei; Qinghua Zheng; Ian Davidson (ICDM, 2017)

Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. - Weifeng Zhi; Buyue Qian; Ian Davidson (ICDM, 2017)

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. - Minnan Luo; Lingling Zhang 005; Feiping Nie 001; Xiaojun Chang; Buyue Qian; Qinghua Zheng (IJCAI, 2017)

Butler, Not Servant: A Human-Centric Smart Home Energy Management System. - Siyun Chen; Ting Liu 002; Feng Gao 015; Jianting Ji; Zhanbo Xu; Buyue Qian; Hongyu Wu; Xiaohong Guan (IEEE Commun. Mag., 2017)

Safe Medicine Recommendation via Medical Knowledge Graph Embedding. - Meng Wang 009; Mengyue Liu; Jun Liu 002; Sen Wang 001; Guodong Long; Buyue Qian (CoRR, 2017)

Sparse Relational Topical Coding on multi-modal data. - Lingyun Song; Jun Liu 002; Minnan Luo; Buyue Qian; Kuan Yang (Pattern Recognit., 2017)

Discovering Models from Structural and Behavioral Brain Imaging Data. - Zilong Bai; Buyue Qian; Ian Davidson (KDD, 2018)

EEG-based Motion Intention Recognition via Multi-task RNNs. - Weitong Chen 001; Sen Wang 001; Xiang Zhang 012; Lina Yao 001; Lin Yue; Buyue Qian; Xue Li 001 (SDM, 2018)

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. - Lingyun Song; Jun Liu 002; Buyue Qian; Mingxuan Sun; Kuan Yang; Meng Sun; Samar Abbas (IEEE Trans. Image Process., 2018)

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. - Lingyun Song; Jun Liu 002; Buyue Qian; Yihe Chen (AAAI, 2019)

Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation. - Xiaoyu Li 007; Buyue Qian; Jishang Wei; Xianli Zhang; Sirui Chen; Qinghua Zheng (CIKM, 2019)

Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network. - Xiaoyu Li 007; Buyue Qian; Jishang Wei; An Li; Xuan Liu; Qinghua Zheng (ICDM, 2019)

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network. - Changchang Yin; Buyue Qian; Jishang Wei; Xiaoyu Li 007; Xianli Zhang; Yang Li 139; Qinghua Zheng (ICDM, 2019)

Domain Knowledge Guided Deep Learning with Electronic Health Records. - Changchang Yin; Rongjian Zhao; Buyue Qian; Xin Lv; Ping Zhang 016 (ICDM, 2019)

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. - Xianli Zhang; Buyue Qian; Yang Li 139; Changchang Yin; Xudong Wang; Qinghua Zheng (ICDM, 2019)

Spatial Attention Lesion Detection on Automated Breast Ultrasound. - Feiqian Wang; Xiaotong Liu; Buyue Qian; Litao Ruan; Rongjian Zhao; Changchang Yin; Na Yuan; Rong Wei; Xin Ma; Jishang Wei (IWBBIO (1), 2019)

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture. - Xianli Zhang; Yinbin Zhang; Buyue Qian; Xiaotong Liu; Xiaoyu Li 007; Xudong Wang; Changchang Yin; Xin Lv; Lingyun Song; Liang Wang (IWBBIO (1), 2019)

An Interpretable Fast Model for Predicting The Risk of Heart Failure. - Xianli Zhang; Buyue Qian; Xiaoyu Li 007; Jishang Wei; Yingqian Zheng; Lingyun Song; Qinghua Zheng (SDM, 2019)

Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving. - Feng Tian 002; Jia Yue; Kuo-Ming Chao; Buyue Qian; Nazaraf Shah; Longzhuang Li; Haiping Zhu; Yan Chen 031; Bin Zeng; Qinghua Zheng (CoRR, 2019)

Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. - Jianfei Ruan; Zheng Yan 002; Bo Dong 001; Qinghua Zheng; Buyue Qian (Inf. Sci., 2019)

Rethinking Dice Loss for Medical Image Segmentation. - Rongjian Zhao; Buyue Qian; Xianli Zhang; Yang Li 139; Rong Wei; Yang Liu; Yinggang Pan (ICDM, 2020)

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. - Xianli Zhang; Buyue Qian; Shilei Cao 001; Yang Li 139; Hang Chen; Yefeng Zheng 001; Ian Davidson (KDD, 2020)

Knowledge guided diagnosis prediction via graph spatial-temporal network. - Yang Li 139; Buyue Qian; Xianli Zhang; Hui Liu (SDM, 2020)

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification. - YangYang Lan; Yazhou Hao; Kui Xia; Buyue Qian; Chen Li 011 (IEEE Access, 2020)

Graph Neural Network-Based Diagnosis Prediction. - Yang Li 139; Buyue Qian; Xianli Zhang; Hui Liu (Big Data, 2020)

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (CoRR, 2020)

An interpretable risk prediction model for healthcare with pattern attention. - Sundreen Asad Kamal; Changchang Yin; Buyue Qian; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2020)

Towards Generalization of Cardiac Abnormality Classification Using ECG Signal. - Xiaoyu Li 007; Chen Li 011; Xian Xu; Yuhua Wei; Jishang Wei; Yuyao Sun; Buyue Qian; Xiao Xu (CinC, 2021)

BaT: Beat-aligned Transformer for Electrocardiogram Classification. - Xiaoyu Li 007; Chen Li 011; Yuhua Wei; Yuyao Sun; Jishang Wei; Xiang Li 013; Buyue Qian (ICDM, 2021)

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. - Yang Li 139; Xianli Zhang; Buyue Qian; Zeyu Gao 001; Chong Guan; Yefeng Zheng 001; Hansen Zheng; Fenglang Wu; Chen Li 011 (ICDM, 2021)

Learning to Reweight Samples with Offline Loss Sequence. - Yuhua Wei; Xiaoyu Li 007; Jishang Wei; Buyue Qian; Chen Li 011 (ICDM, 2021)

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. - Cong Xie; Shilei Cao 001; Dong Wei 004; Hongyu Zhou; Kai Ma 002; Xianli Zhang; Buyue Qian; Liansheng Wang; Yefeng Zheng 001 (ISBI, 2021)

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach. - Xianli Zhang; Buyue Qian; Yang Li 139; Yang Liu; Xi Chen 003; Chong Guan; Chen Li 011 (SDM, 2021)

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (WWW, 2021)

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. - Jialun Wu; Buyue Qian; Yang Li 139; Zeyu Gao 001; Meizhi Ju; Yifan Yang 008; Yefeng Zheng 001; Tieliang Gong; Chen Li 011; Xianli Zhang (CIKM, 2022)

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. - Xiangjin Xie; Yuxin Chen 002; Ruipeng Wang; Xianli Zhang; Shilei Cao 001; Kai Ouyang; Zihan Zhang; Hai-Tao Zheng 002; Buyue Qian; Hansen Zheng; Bo Hu; Chengxiang Zhuo; et al. (ICDM, 2022)

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. - Xianli Zhang; Buyue Qian; Yang Li 139; Zeyu Gao 001; Chong Guan; Renzhen Wang; Yefeng Zheng 001; Hansen Zheng; Chen Li 011 (ICDM, 2022)

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation. - Shilei Cao 001; Yujie Lin; Xianli Zhang; Yufu Chen; Zhen Zhu; Yuxin Chen 002; Buyue Qian; Feng Wang; Zang Li (SDM, 2023)

Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability. - Xianli Zhang; Buyue Qian; Yang Li 139; Shilei Cao 001; Ian Davidson (IEEE Trans. Knowl. Data Eng., 2023)

Using cross-domain knowledge augmentation to explore comorbidity in electronic health records data. - Kaiyuan Zhang; Buyue Qian; Xiyuan Zhang; Qinghua Zheng (Expert Syst. Appl., 2025)

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. - Xiangjin Xie; Yuxin Chen 002; Ruipeng Wang; Kai Ouyang; Zihan Zhang; Hai-Tao Zheng 002; Buyue Qian; Hansen Zheng; Bo Hu; Chengxiang Zhuo; Zang Li (CoRR, 2025)