Wenhao Yang @ LAMDA, NJU-AI

ywh2024.JPG 
(Filmed at Gosau Lake in Vienna; by Ling-Hao CHEN.)

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 third 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 and Optimization.

Preprints

  1. Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval [arXiv]
    W. Yang, S. Yang, and L. Zhang

Publications

  1. Smoothed Online Convex Optimization with Delayed Feedback
    S. Yang, W. Yang, W. Jiang, Y. Wan, and L. Zhang
    In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), to appear, 2025.

  2. Revisiting Differentially Private Algorithms for Decentralized Online Learning
    X. Wang, W. Yang, C. Yao, M. Song, and Y. Wan
    In Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), to appear, 2025.

  3. Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation [PDF, Bibtex]
    Y. Wang, Y. Jian, W. Yang, S. Lu, L. Shen, B. Wang, X. Zeng, and L. Zhang
    In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), pages 12757--12765, 2025.

  4. Universal Online Convex Optimization with 1 Projection per Round [PDF, arXiv, Bibtex]
    W. Yang, Y. Wang, P. Zhao, and L. Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 31438 -- 31472, 2024.

  5. Online Composite Optimization Between Stochastic and Adversarial Environments [PDF, Bibtex]
    Y. Wang, S. Chen, W. Jiang, W. Yang, Y. Wan and L. Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 94808 -- 94850, 2024.

  6. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction [PDF, arXiv, Bibtex]
    W. Jiang, S. Yang, W. Yang, and L. Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 33891 -- 33932, 2024.

  7. Small-loss Adaptive Regret for Online Convex Optimization [PDF, Bibtex]
    W. Yang, W. Jiang, Y. Wang, P. Yang, Y. Hu, and L. Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 56156--56195, 2024.

  8. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization [PDF, Bibtex]
    W. Jiang, S. Yang, W. Yang, Y. Wang, Y. Wan, and L. Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 21962--21987, 2024.

  9. 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.

  10. 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.

  11. 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.

Awards & Honors

Work Experience

Academic Service

Teaching Assistant

Correspondence