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. 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.
   
   
2. Projection-Free Bandit Convex Optimization over Strongly Convex Sets [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), to appear, 2024.
   
   
3. Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees [arXiv, PDF, 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.
   
   
4. Distributed Projection-Free Online Learning for Smooth and Convex Losses [PDF, Supplementary, Bibtex, URL] (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.
   
   
5. 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.
   
   
6. 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. 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 2023; AISTATS 2023, 2024; UAI 2024; ICLR 2024; WWW 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.)