Multi-Context Label Embedding. - Yaxin Shi; Donna Xu; Yuangang Pan; Ivor W. Tsang (CoRR, 2018)

Robust Plackett-Luce model for k-ary crowdsourced preferences. - Bo Han 003; Yuangang Pan; Ivor W. Tsang (Mach. Learn., 2018)

Stagewise learning for noisy k-ary preferences. - Yuangang Pan; Bo Han 003; Ivor W. Tsang (Mach. Learn., 2018)

Label Embedding with Partial Heterogeneous Contexts. - Yaxin Shi; Donna Xu; Yuangang Pan; Ivor W. Tsang; Shirui Pan (AAAI, 2019)

Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs. - Yinghua Yao; Yuangang Pan; Ivor W. Tsang; Xin Yao 001 (ICONIP (4), 2019)

Probabilistic CCA with Implicit Distributions. - Yaxin Shi; Yuangang Pan; Donna Xu; Ivor W. Tsang (CoRR, 2019)

Millionaire: a hint-guided approach for crowdsourcing. - Bo Han 003; Quanming Yao; Yuangang Pan; Ivor W. Tsang; Xiaokui Xiao; Qiang Yang 001; Masashi Sugiyama (Mach. Learn., 2019)

Robust Rank Aggregation and Its Applications - Yuangang Pan (2019)

Multi-view Alignment and Generation in CCA via Consistent Latent Encoding. - Yaxin Shi; Yuangang Pan; Donna Xu; Ivor W. Tsang (CoRR, 2020)

Learning Robust Node Representations on Graphs. - Xu Chen 026; Ya Zhang 002; Ivor W. Tsang; Yuangang Pan (CoRR, 2020)

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation. - Xu Chen 026; Ya Zhang 002; Ivor W. Tsang; Yuangang Pan; Jingchao Su (CoRR, 2020)

Stochastic Multichannel Ranking with Brain Dynamics Preferences. - Yuangang Pan; Ivor W. Tsang; Avinash Kumar Singh; Chin-Teng Lin; Masashi Sugiyama (Neural Comput., 2020)

Multiview Alignment and Generation in CCA via Consistent Latent Encoding. - Yaxin Shi; Yuangang Pan; Donna Xu; Ivor W. Tsang (Neural Comput., 2020)

Secure Metric Learning via Differential Pairwise Privacy. - Jing Li 009; Yuangang Pan; Yulei Sui; Ivor W. Tsang (IEEE Trans. Inf. Forensics Secur., 2020)

TRIP: Refining Image-to-Image Translation via Rival Preferences. - Yinghua Yao; Yuangang Pan; Ivor W. Tsang; Xin Yao 001 (CoRR, 2021)

Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation. - Yuangang Pan; Ivor W. Tsang; Yueming Lyu; Avinash Kumar Singh; Chin-Teng Lin (Neural Comput., 2021)

Fast and Robust Rank Aggregation against Model Misspecification. - Yuangang Pan; Ivor W. Tsang; Weijie Chen 001; Gang Niu 001; Masashi Sugiyama (J. Mach. Learn. Res., 2022)

Domain-Adversarial Network Alignment. - Huiting Hong; Xin Li 033; Yuangang Pan; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2022)

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation. - Xu Chen 026; Ya Zhang 002; Ivor W. Tsang; Yuangang Pan; Jingchao Su (ACM Trans. Inf. Syst., 2023)

Earning Extra Performance From Restrictive Feedbacks. - Jing Li 009; Yuangang Pan; Yueming Lyu; Yinghua Yao; Yulei Sui; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PC-X: Profound Clustering via Slow Exemplars. - Yuangang Pan; Yinghua Yao; Ivor W. Tsang (CPAL, 2024)

Fast Unpaired Multi-view Clustering. - Xingfeng Li 004; Yuangang Pan; Yinghui Sun; Quansen Sun; Ivor W. Tsang; Zhenwen Ren (IJCAI, 2024)

Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting. - Jing Li 009; Yinghua Yao; Yuangang Pan; Xuanqian Wang; Ivor W. Tsang; Xiuju Fu (CoRR, 2024)

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao. - Xu Chen 026; Zida Cheng; Yuangang Pan; Shuai Xiao 002; Xiaoming Liu 011; Jinsong Lan; Qingwen Liu 002; Ivor W. Tsang (CoRR, 2024)

Generative Adversarial Ranking Nets. - Yinghua Yao; Yuangang Pan; Jing Li 009; Ivor W. Tsang; Xin Yao 001 (J. Mach. Learn. Res., 2024)

BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering. - Liang Li; Yuangang Pan; Jie Liu 002; Yue Liu 008; Xinwang Liu 002; Kenli Li 001; Ivor W. Tsang; Keqin Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning node representations against perturbations. - Xu Chen 026; Yuangang Pan; Ivor W. Tsang; Ya Zhang 002 (Pattern Recognit., 2024)

Differential-Critic GAN: Generating What You Want by a Cue of Preferences. - Yinghua Yao; Yuangang Pan; Ivor W. Tsang; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Coarse-to-Fine Contrastive Learning on Graphs. - Peiyao Zhao; Yuangang Pan; Xin Li 033; Xu Chen 026; Ivor W. Tsang; Lejian Liao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Sanitized clustering against confounding bias. - Yinghua Yao; Yuangang Pan; Jing Li 009; Ivor W. Tsang; Xin Yao 001 (Mach. Learn., 2024)

PROUD: PaRetO-gUided diffusion model for multi-objective generation. - Yinghua Yao; Yuangang Pan; Jing Li 009; Ivor W. Tsang; Xin Yao 001 (Mach. Learn., 2024)

Taming Overconfident Prediction on Unlabeled Data From Hindsight. - Jing Li 009; Yuangang Pan; Ivor W. Tsang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Max-Mahalanobis Anchors Guidance for Multi-View Clustering. - Pei Zhang 008; Yuangang Pan; Siwei Wang 001; Shengju Yu; Huiying Xu; En Zhu; Xinwang Liu 002; Ivor W. Tsang (AAAI, 2025)

Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues. - Yujie Fang; Xin Li 033; Yuangang Pan; Xin Huang; Ivor W. Tsang (ICDE, 2025)

BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract). - Liang Li; Yuangang Pan; Jie Liu 002; Yue Liu 008; Xinwang Liu 002; Kenli Li 001; Ivor W. Tsang; Keqin Li 001 (ICDE, 2025)

Scalable unpaired multi-view clustering with Bipartite Graph Matching. - Xingfeng Li 004; Yuangang Pan; Yuan Sun 016; Yinghui Sun; Quansen Sun; Zhenwen Ren; Ivor W. Tsang (Inf. Fusion, 2025)

Sharpening deep graph clustering via diverse bellwethers. - Peiyao Zhao; Xin Li 033; Yuangang Pan; Ivor W. Tsang; Mingzhong Wang; Lejian Liao (Knowl. Based Syst., 2025)

Incomplete Multi-View Clustering With Paired and Balanced Dynamic Anchor Learning. - Xingfeng Li 004; Yuangang Pan; Yuan Sun 016; Quansen Sun; Yinghui Sun; Ivor W. Tsang; Zhenwen Ren (IEEE Trans. Multim., 2025)

Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences. - Yinghua Yao; Yuangang Pan; Ivor W. Tsang; Xin Yao 001 (IEEE Trans. Artif. Intell., 2025)

Group feature selection using non-class data. - Chunna Li 001; Yuangang Pan; Weijie Chen 001; Ivor W. Tsang; Yuanhai Shao 001 (Mach. Learn., 2025)

Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space. - Yinghua Yao; Yuangang Pan; Xixian Chen (CoRR, 2025)

JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering. - Liang Li; Yuangang Pan; Junpu Zhang; Pei Zhang 008; Jie Liu 002; Xinwang Liu 002; Kenli Li 001; Ivor W. Tsang; Keqin Li 001 (IEEE Trans. Knowl. Data Eng., 2025)