Wenhao Yang @ LAMDA, NJU-AI

ywh.jpg 

杨文昊
Wenhao Yang
Ph.D. student, LAMDA Group
Email: yangwh@lamda.nju.edu.cn
Google Scholar
Supervisor: Professor Lijun Zhang
Major: Computer Science and Technology
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Biography

Currently I am a second year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I received my B.Sc. degree from School of Electronic Engineering, Xidian University in June 2022. In the same year, I was admitted to pursue Ph.D. degree in Nanjing University without entrance examination.

Research Interests

My research interests include Machine Learning.

Publications

  1. Small-loss Adaptive Regret for Online Convex Optimization
    W. Yang, W. Jiang, Y. Wang, P. Yang, Y. Hu, and L. Zhang
    In Proceedings of the 41th International Conference on Machine Learning (ICML 2024), to appear, 2024.

  2. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
    W. Jiang, S. Yang, W. Yang, Y. Wang, Y. Wan, and L. Zhang
    In Proceedings of the 41th International Conference on Machine Learning (ICML 2024), to appear, 2024.

  3. Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning [PDF, Bibtex]
    W. Yang, Y. Jian, Y. Wang, S. Lu, L. Shen, B. Wang, H. Tang, and L. Zhang
    In Proceedings of the ACM Web Conference 2024 (WWW 2024), pages 3195--3206, 2024.

  4. Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees [PDF, arXiv, Bibtex]
    Y. Wang, W. Yang, W. Jiang, S. Lu, B. Wang, H. Tang, Y. Wan, and L. Zhang
    In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), pages 15671--15679, 2024.

  5. Pluralistic Image Completion with Gaussian Mixture Models [PDF, Supplementary, Code, Bibtex]
    X. Xia*, W. Yang*, J. Ren, Y. Li, Y. Zhan, B. Han and T. Liu (* indicates equal contribution)
    In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 24087--24100, 2022.

Preprints

  1. Universal Online Convex Optimization with 1 Projection per Round [arXiv]
    W. Yang, Y. Wang, P. Zhao, and L. Zhang

  2. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction [arXiv]
    W. Jiang, S. Yang, W. Yang, and L. Zhang

Awards & Honors

Work Experience

Academic Service

Teaching Assistant

Correspondence