An effective collaborative filtering algorithm based on user preference clustering. - Jia Zhang 019; Yaojin Lin; Menglei Lin; Jinghua Liu (Appl. Intell., 2016)

Multi-label feature selection with streaming labels. - Yaojin Lin; Qinghua Hu; Jia Zhang 019; Xindong Wu 001 (Inf. Sci., 2016)

Computational drug repositioning using collaborative filtering via multi-source fusion. - Jia Zhang 019; Candong Li; Yaojin Lin; Youwei Shao; Shaozi Li (Expert Syst. Appl., 2017)

Feature selection based on quality of information. - Jinghua Liu; Yaojin Lin; Menglei Lin; Shunxiang Wu; Jia Zhang 019 (Neurocomputing, 2017)

A Fast Feature Selection Method Based on Mutual Information in Multi-label Learning. - Zhenqiang Sun; Jia Zhang 019; Zhiming Luo; Donglin Cao; Shaozi Li (ChineseCSCW, 2018)

Multi-label learning with label-specific features by resolving label correlations. - Jia Zhang 019; Candong Li; Donglin Cao; Yaojin Lin; Songzhi Su; Liang Dai; Shaozi Li (Knowl. Based Syst., 2018)

A Simple and Convex Formulation for Multi-label Feature Selection. - Peng Lin; Zhenqiang Sun; Jia Zhang 019; Zhiming Luo; Shaozi Li (ChineseCSCW, 2019)

Towards a unified multi-source-based optimization framework for multi-label learning. - Jia Zhang 019; Candong Li; Zhenqiang Sun; Zhiming Luo; Changen Zhou; Shaozi Li (Appl. Soft Comput., 2019)

Multi-label feature selection with application to TCM state identification. - Liang Dai; Jia Zhang 019; Candong Li; Changen Zhou; Shaozi Li (Concurr. Comput. Pract. Exp., 2019)

Mutual information based multi-label feature selection via constrained convex optimization. - Zhenqiang Sun; Jia Zhang 019; Liang Dai; Candong Li; Changen Zhou; Jiliang Xin; Shaozi Li (Neurocomputing, 2019)

Manifold regularized discriminative feature selection for multi-label learning. - Jia Zhang 019; Zhiming Luo; Candong Li; Changen Zhou; Shaozi Li (Pattern Recognit., 2019)

Multi-label Feature Selection via Global Relevance and Redundancy Optimization. - Jia Zhang 019; Yidong Lin; Min Jiang 005; Shaozi Li; Yong Tang 001; Kay Chen Tan (IJCAI, 2020)

Joint multilabel classification and feature selection based on deep canonical correlation analysis. - Liang Dai; Guodong Du 002; Jia Zhang 019; Candong Li; Rong Wei; Shaozi Li (Concurr. Comput. Pract. Exp., 2020)

Feature selection for multi-label learning with streaming label. - Jinghua Liu; Yuwen Li; Wei Weng 002; Jia Zhang 019; Baihua Chen; Shunxiang Wu (Neurocomputing, 2020)

Joint imbalanced classification and feature selection for hospital readmissions. - Guodong Du 002; Jia Zhang 019; Zhiming Luo; Fenglong Ma; Lei Ma 010; Shaozi Li (Knowl. Based Syst., 2020)

Towards graph-based class-imbalance learning for hospital readmission. - Guodong Du 002; Jia Zhang 019; Fenglong Ma; Min Zhao; Yaojin Lin; Shaozi Li (Expert Syst. Appl., 2021)

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission. - Guodong Du 002; Jia Zhang 019; Shaozi Li; Candong Li (Neurocomputing, 2021)

Fuzzy rough discrimination and label weighting for multi-label feature selection. - Anhui Tan; Jiye Liang; Wei-Zhi Wu 001; Jia Zhang 019; Lin Sun 002; Chao Chen (Neurocomputing, 2021)

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. - Zhi-An Huang; Jia Zhang 019; Zexuan Zhu 001; Edmond Qi Wu; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

EEG-Based Motor Imagery Classification with Deep Adversarial Learning. - Dezheng Liu; Siwei Liu 014; Hanrui Wu; Jia Zhang 019; Jinyi Long (ChineseCSCW (2), 2022)

Semi-supervised partial multi-label classification via consistency learning. - Anhui Tan; Jiye Liang; Wei-Zhi Wu 001; Jia Zhang 019 (Pattern Recognit., 2022)

Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. - Jia Zhang 019; Shaozi Li; Min Jiang 005; Kay Chen Tan (IEEE Trans. Cybern., 2022)

ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set. - Jinghua Liu; Yaojin Lin; Jixiang Du; Hongbo Zhang 002; Ziyi Chen 001; Jia Zhang 019 (Appl. Intell., 2023)

Group-preserving label-specific feature selection for multi-label learning. - Jia Zhang 019; Hanrui Wu; Min Jiang 005; Jinghua Liu; Shaozi Li; Yong Tang 001; Jinyi Long (Expert Syst. Appl., 2023)

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. - Hanrui Wu; Chung Wang Wong; Jia Zhang 019; Yuguang Yan; Dahai Yu 001; Jinyi Long; Michael K. Ng 001 (IEEE Trans. Serv. Comput., 2023)

Toward embedding-based multi-label feature selection with label and feature collaboration. - Liang Dai; Jia Zhang 019; Guodong Du 002; Candong Li; Rong Wei; Shaozi Li (Neural Comput. Appl., 2023)

Graph-Based Class-Imbalance Learning With Label Enhancement. - Guodong Du 002; Jia Zhang 019; Min Jiang 005; Jinyi Long; Yaojin Lin; Shaozi Li; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Semi-supervised imbalanced multi-label classification with label propagation. - Guodong Du 002; Jia Zhang 019; Ning Zhang; Hanrui Wu; Peiliang Wu; Shaozi Li (Pattern Recognit., 2024)

Transferable graph auto-encoders for cross-network node classification. - Hanrui Wu; Lei Tian; Yanxin Wu; Jia Zhang 019; Michael K. P. Ng 001; Jinyi Long (Pattern Recognit., 2024)

Online Transfer Learning With Pseudo Label for Gait Phase Prediction. - Zhenpeng Guo; Hanrui Wu; Jinglong Fang; Jia Zhang 019; Jinyi Long (IEEE Trans. Instrum. Meas., 2024)

Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. - Jia Zhang 019; Jinglong Fang; Siwei Liu 014; Dezheng Liu; Hanrui Wu; Jinyi Long (IEEE Trans. Instrum. Meas., 2024)

Feature Matching Machine for Cold-Start Recommendation. - Hanrui Wu; Nuosi Li; Ka Ho Kwok; Xuheng Cai; Jia Zhang 019; Jinyi Long; Michael Kwok-Po Ng (IEEE Trans. Serv. Comput., 2024)

Simplicial Complex Neural Networks. - Hanrui Wu; Andy M. Yip; Jinyi Long; Jia Zhang 019; Michael Kwok-Po Ng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Collaborative contrastive learning for hypergraph node classification. - Hanrui Wu; Nuosi Li; Jia Zhang 019; Sentao Chen; Michael K. Ng 001; Jinyi Long (Pattern Recognit., 2024)

Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. - Jia Zhang 019; Yidong Lin; Min Jiang 005; Shaozi Li; Yong Tang 001; Jinyi Long; Jian Weng 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

High-order proximity and relation analysis for cross-network heterogeneous node classification. - Hanrui Wu; Yanxin Wu; Nuosi Li; Min Yang 007; Jia Zhang 019; Michael K. Ng 001; Jinyi Long (Mach. Learn., 2024)

Consistent and specific multi-view multi-label learning with correlation information. - Yiting Li; Jia Zhang 019; Hanrui Wu; Guodong Du 002; Jinyi Long (Inf. Sci., 2025)

Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. - Siwei Liu 014; Jia Zhang 019; Hanrui Wu; Guoxu Zhou; Qibin Zhao; Jinyi Long (Knowl. Based Syst., 2025)

EEG Feature Selection in Emotion Recognition Using a Fuzzy Information-Theoretic Based Optimization Approach. - Jia Zhang 019; Siwei Liu 014; Hanrui Wu; Zhe Zhang; Jinyi Long (IEEE Trans. Fuzzy Syst., 2025)

Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models. - Ganxi Xu; Jinyi Long; Jia Zhang 019 (CoRR, 2025)

SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement. - Qianzhi Ye; Jia Zhang 019; Hanrui Wu; Tianlong Gu; C. L. Philip Chen; Jinyi Long (IEEE Trans. Knowl. Data Eng., 2025)

Cold-start User Recommendation via Heterogeneous Domain Adaptation. - Hanrui Wu; Yanxin Wu; Nuosi Li; Jia Zhang 019; Yonghui Xu; Michael K. Ng 001; Jinyi Long (ACM Trans. Inf. Syst., 2025)

Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding. - Ganxi Xu; Jinyi Long; Jia Zhang 019 (AAAI, 2026)

OSFTL-PL: Online source-free transfer learning with pseudo-labels for privacy-preserving EEG-based BCI. - Siwei Liu 014; Keyan Chen; Jia Zhang 019; Jinyi Long; Hanrui Wu (Biomed. Signal Process. Control., 2026)

ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor Principle. - Zhe Zhang; Yongle Zhou; Yuyang Long; Jia Zhang 019; Juanjuan Weng; Zhetao Li; Yaozhong Gan; Xiaoyang Tan (IEEE Trans. Neural Networks Learn. Syst., 2026)