Yibo Wang @ LAMDA

wangyb_pic.png 

王一博
Yibo Wang
M.Sc. Student, LAMDA Group
School of Artificial Intelligence
Building of Computer Science and Technology
Nanjing University, Nanjing 210023, China

Supervisor: Prof. Lijun Zhang

Email:wangyb@lamda.nju.edu.cn
Laboratory: Building of Computer Science and Technology, Xianlin Campus of Nanjing University

Biography

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

Research Interests

I am interested in Machine Learning, Online Learning, and Optimization.

Publications

  1. Distributed Projection-free Online Learning for Smooth and Convex Losses [PDF, Supplementary, Bibtex, URL]
    Y. Wang*, Y. Wan*, S. Zhang, and L. Zhang (* indicates equal contribution)
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), pages 10226 - 10234, 2023.

  2. Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization [arXiv, Bibtex]
    W. Jiang, G. Li, Y. Wang, L. Zhang, and T. Yang
    In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 32499 - 32511, 2022.

  3. Optimal Algorithms for Stochastic Multi-Level Compositional Optimization [PDF, Bibtex]
    W. Jiang, B. Wang, Y. Wang, L. Zhang, and T. Yang
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022), pages 10195 - 10216, 2022.

Preprints

  1. Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees [arXiv]
    Y. Wang, W. Yang, W. Jiang, S. Lu, B. Wang, H. Tang, Y. Wan, and L. Zhang

  2. Projection-free Online Learning with Arbitrary Delays [arXiv]
    Y. Wan, Y. Wang, C. Yao, W. Tu, and L. Zhang

Awards & Honors

Teaching Assistant

Academic Services

Correspondence

Email: wangyb@lamda.nju.edu.cn

Address: National Key Laboratory for Novel Software Technology, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.

(南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)