Biography
I am a second-year Ph.D. student at the University of Tokyo, supervised by Prof. Masashi Sugiyama. I am also a Junior Research Associate at the Imperfect Information Learning Team, RIKEN Center for Advanced Intelligence Project. I received a M.Eng. degree from Southeast University under the supervision of Prof. Min-Ling Zhang. I received a B.Eng. degree from Huazhong University of Science and Technology.
My research interests are theories and algorithms of machine learning. Most recently, I am interested in foundation models and reliable machine learning.
Feel free to email me if you are interested in talking with me.
Preprint
- W. Wang, T. Ishida, Y.-J. Zhang, G. Niu, and M. Sugiyama.
The Selected-completely-at-random Complementary Label is a Practical Weak Supervision for Multi-class Classification.
[arXiv]
Publication
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W. Wang, L. Feng, Y. Jiang, G. Niu, M.-L. Zhang, and M. Sugiyama.
Binary Classification with Confidence Difference.
In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023), New Orleans, LA, 2023, to appear.
[paper]
[code]
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J.-X. Mao, W. Wang, and M.-L. Zhang.
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps.
In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macau, China, 2023, pages 4055-4063.
[paper]
[code]
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W. Wang, and M.-L. Zhang.
Partial Label Learning with Discrimination Augmentation.
In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington, DC, 2022, pages 1920-1928.
[paper]
[code]
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W. Wang, and M.-L. Zhang.
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization.
In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020, pages 6982-6993.
[paper]
[code]
Award
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RIKEN Ohbu Award (Research Incentive Award), 2024.
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Scholar/Travel Award, NeurIPS 2023.
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Microsoft Research Asia D-CORE Award, 2023.
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Japanese Government (MEXT) Scholarship, 2023.
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National Scholarship, MOE of PRC, 2021.
Academic Service
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PC Member/Conference Reviewer: NeurIPS (2023), ICML (2024), ICLR (2024), KDD (2023,2024), SDM (2024).
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Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, SCIENCE CHINA Information Sciences, ACM Transactions on Intelligent Systems and Technology.
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Web Team Member of KDD 2021.