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.

• Sep 2023 - Now : Admitted to study for a Ph.D. degree in Nanjing University.

• Sep 2021 - Jun 2023 : Admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

• Sep 2017 - Jun 2021 : Receive my B.Sc. degree from Department of Computer Science , Nanjing University.

Research Interests

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

Publications

1. High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails
   L. Liu, Y. Wang, and L. Zhang
   In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), to appear, 2024.
   
   
2. 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 41st International Conference on Machine Learning (ICML 2024), to appear, 2024.
   
   
3. 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 41st International Conference on Machine Learning (ICML 2024), to appear, 2024.
   
   
4. Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning [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), to appear, 2024.
   
   
5. Projection-Free Bandit Convex Optimization over Strongly Convex Sets [PDF, Bibtex]
   C. Zhang, Y. Wang, P. Tian, X. Chen, Y. Wan, and M. Song
   In Proceedings of The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), pages 118 - 129, 2024.
   
   
6. Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees [arXiv, PDF, Bibtex, Official Version]
   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.
   
   
7. Distributed Projection-Free Online Learning for Smooth and Convex Losses [PDF, Supplementary, Bibtex, Official Version] (Oral)
   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.
   
   
8. Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization [PDF, 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.
   
   
9. 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. Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees [arXiv]
   S. Chen*, Y. Wang*, Y. Wu, Q. Chen, Z. Xu, W. Luo, K. Zhang, and L. Zhang (* indicates equal contribution)
   
   
2. Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions [arXiv]
   W. Jiang, S. Yang, Y. Wang, and L. Zhang
   
   
3. Universal Online Convex Optimization with 1 Projection per Round [arXiv]
   W. Yang, Y. Wang, P. Zhao, and L. Zhang
   
   
4. Projection-free Online Learning with Arbitrary Delays [arXiv]
   Y. Wan, Y. Wang, C. Yao, W. Tu, and L. Zhang

Awards & Honors

• The First Class Academic Scholarship of Nanjing University, Nanjing, 2021, 2022.
• Excellent Student of Nanjing University, Nanjing, 2022.
• Excellent Graduate of Nanjing University, Nanjing, 2021.

Teaching Assistant

• Optimization Methods (With Prof. Lijun Zhang; For Undergraduate Students, Fall, 2023)

• Optimization Methods (With Prof. Lijun Zhang; For Undergraduate Students, Fall, 2022)

Academic Services

• Reviewer for Conferences: NeurIPS 2024, 2023; AISTATS 2024, 2023; UAI 2024; ICLR 2024; WWW 2024; ECAI 2024.
• Reviewer for Journals: Information Sciences.

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.)