Biography

I am currently a Postdoctoral Researcher in the Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence, where I work with Prof. Fakhri Karray and Prof. Lijie Hu. I received my Ph.D. from the School of Computer Science and Engineering at Southeast University, with joint training in the Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence. During my doctoral studies, I was affiliated with the PALM Group and was advised by Prof. Min-Ling Zhang. I was also advised by Prof. Kun Zhang through my joint training. My research was supported in part by the inaugural Young Elite Scientists Sponsorship Program of the China Association for Science and Technology (Doctoral Student Special Plan, via the China Computer Federation). I received my Master’s degree from the School of Automation at Southeast University.

Research Interests

Machine Learning, Explainable AI

Y.-F. Yang, W. Tang*, M.-L. Zhang.
Fast multi-instance partial-label learning.
In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, USA, 2025, 22038-22046. [Code]
W. Tang, Y.-F. Yang, Z. Wang, W. Zhang, M.-L. Zhang.
Multi-instance partial-label learning with margin adjustment.
In: Advances in Neural Information Processing Systems 37 (NeurIPS'24), Vancouver, Canada, 2024, 58154-58173. [Code]
Y.-F. Yang, W. Tang, M.-L. Zhang.
ProMIPL: A probabilistic generative model for multi-instance partial-label learning.
In: Proceedings of the 24th IEEE International Conference on Data Mining (ICDM'24), Abu Dhabi, UAE, 2024, 560-569. [Code]
W. Tang, W. Zhang, M.-L. Zhang.
Exploiting conjugate label information for multi-instance partial-label learning.
In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea, 2024, 4973-4981. [Code]
W. Tang, W. Zhang, M.-L. Zhang.
Disambiguated attention embedding for multi-instance partial-label learning.
In: Advances in Neural Information Processing Systems 36 (NeurIPS'23), New Orleans, LA, 2023, 56756-56771. [Code] [Data]
W. Tang, W. Zhang, M.-L. Zhang.
Multi-instance partial-label learning: Towards exploiting dual inexact supervision.
Science China Information Sciences (SCIS), 2024, 67(3): Article 132103. [Code] [Data]

National Scholarship (First-ranked in the School of Computer Science and Engineering)
Advanced Individual Award for Academic Innovation, Southeast University
The First Runner-up of the First Tiny Object Detection Challenge (in conjunction with ECCV'20)
Outstanding Graduate of Anhui Province

Program Committee Member: NeurIPS, ICML, KDD, AAAI, IJCAI, CVPR, ECCV, ICDM, ECAI, IJCNN, etc.
Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence, Science China Information Sciences, ACM Transactions on Information Systems, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, etc.