Yuangang Pan

According to our database, Yuangang Pan authored at least 42 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering.

Liang Li, Yuangang Pan, Junpu Zhang, Pei Zhang, Jie Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li

IEEE Trans. Knowl. Data Eng., September, 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, August, 2025

Group feature selection using non-class data.

Chunna Li, Yuangang Pan, Weijie Chen, Ivor W. Tsang, Yuanhai Shao

Mach. Learn., June, 2025

Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

IEEE Trans. Artif. Intell., April, 2025

Incomplete Multi-View Clustering With Paired and Balanced Dynamic Anchor Learning.

Xingfeng Li, Yuangang Pan, Yuan Sun, Quansen Sun, Yinghui Sun, Ivor W. Tsang, Zhenwen Ren

IEEE Trans. Multim., 2025

Sharpening deep graph clustering via diverse bellwethers.

Peiyao Zhao, Xin Li, Yuangang Pan, Ivor W. Tsang, Mingzhong Wang, Lejian Liao

Knowl. Based Syst., 2025

Scalable unpaired multi-view clustering with Bipartite Graph Matching.

Xingfeng Li, Yuangang Pan, Yuan Sun, Yinghui Sun, Quansen Sun, Zhenwen Ren, Ivor W. Tsang

Inf. Fusion, 2025

BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract).

Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues.

Yujie Fang, Xin Li, Yuangang Pan, Xin Huang, Ivor W. Tsang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Max-Mahalanobis Anchors Guidance for Multi-View Clustering.

Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Taming Overconfident Prediction on Unlabeled Data From Hindsight.

Jing Li, Yuangang Pan, Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

PROUD: PaRetO-gUided diffusion model for multi-objective generation.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

Mach. Learn., September, 2024

Sanitized clustering against confounding bias.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

Mach. Learn., June, 2024

Coarse-to-Fine Contrastive Learning on Graphs.

Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Differential-Critic GAN: Generating What You Want by a Cue of Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Learning node representations against perturbations.

Xu Chen, Yuangang Pan, Ivor W. Tsang, Ya Zhang

Pattern Recognit., January, 2024

BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering.

Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li

IEEE Trans. Knowl. Data Eng., 2024

Generative Adversarial Ranking Nets.

Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

J. Mach. Learn. Res., 2024

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao.

Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang

CoRR, 2024

Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting.

Jing Li, Yinghua Yao, Yuangang Pan, Xuanqian Wang, Ivor W. Tsang, Xiuju Fu

CoRR, 2024

Fast Unpaired Multi-view Clustering.

Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

PC-X: Profound Clustering via Slow Exemplars.

Yuangang Pan, Yinghua Yao, Ivor W. Tsang

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Earning Extra Performance From Restrictive Feedbacks.

Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su

ACM Trans. Inf. Syst., January, 2023

2022

Domain-Adversarial Network Alignment.

Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang

IEEE Trans. Knowl. Data Eng., 2022

Fast and Robust Rank Aggregation against Model Misspecification.

Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, Masashi Sugiyama

J. Mach. Learn. Res., 2022

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

TRIP: Refining Image-to-Image Translation via Rival Preferences.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

CoRR, 2021

2020

Secure Metric Learning via Differential Pairwise Privacy.

Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang

IEEE Trans. Inf. Forensics Secur., 2020

Multiview Alignment and Generation in CCA via Consistent Latent Encoding.

Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

Neural Comput., 2020

Stochastic Multichannel Ranking with Brain Dynamics Preferences.

Yuangang Pan, Ivor W. Tsang, Avinash Kumar Singh, Chin-Teng Lin, Masashi Sugiyama

Neural Comput., 2020

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su

CoRR, 2020

Learning Robust Node Representations on Graphs.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan

CoRR, 2020

Multi-view Alignment and Generation in CCA via Consistent Latent Encoding.

Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

CoRR, 2020

2019

Robust Rank Aggregation and Its Applications

Yuangang Pan

PhD thesis, 2019

Millionaire: a hint-guided approach for crowdsourcing.

Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama

Mach. Learn., 2019

Probabilistic CCA with Implicit Distributions.

Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang

CoRR, 2019

Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs.

Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Label Embedding with Partial Heterogeneous Contexts.

Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Stagewise learning for noisy k-ary preferences.

Yuangang Pan, Bo Han, Ivor W. Tsang

Mach. Learn., 2018

Robust Plackett-Luce model for k-ary crowdsourced preferences.

Bo Han, Yuangang Pan, Ivor W. Tsang

Mach. Learn., 2018

Multi-Context Label Embedding.

Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang

CoRR, 2018