Currently I am a third year Ph.D. student of Department of Computer Science and Technology at Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou. I received the M.S. degree from Nanjing University in Jun. 2019 and the B.E. degree from Sun Yat-sen University in Jun. 2016.

# Supervisor

Professor Lijun Zhang.

# Research Interest

My research interests include machine learning and optimization. My main focus is on the development of efficient algorithms with novel and provable performance guarantees for online learning.

# Preprints

• Projection-free Distributed Online Learning with Strongly Convex Losses [arXiv]
Yuanyu Wan, Guanghui Wang, and Lijun Zhang

# Conference Publications

• Online Convex Optimization with Continuous Switching Constraint [arXiv]
Guanghui Wang, Yuanyu Wan, Tianbao Yang, and Lijun Zhang
In Advances in Neural Information Processing Systems 34 (NeurIPS'21), to appear, 2021.

• Approximate Multiplication of Sparse Matrices with Limited Space [PDF, arXiv]
Yuanyu Wan, and Lijun Zhang
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pages 10058 - 10066, 2021.

• Projection-free Online Learning in Dynamic Environments [PDF, Supplementary]
Yuanyu Wan, Bo Xue, and Lijun Zhang
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pages 10067 - 10075, 2021.

• Projection-free Online Learning over Strongly Convex Sets [PDF, arXiv]
Yuanyu Wan, and Lijun Zhang
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pages 10076 - 10084, 2021.

• Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity [PDF, Supplementary, Code]
Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
In Proceedings of the 37th International Conference on Machine Learning (ICML'20), pages 9818 - 9828, 2020.

• Efficient Adaptive Online Learning via Frequent Directions [PDF, Supplementary]
Yuanyu Wan, Nan Wei, and Lijun Zhang
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pages 2748 - 2754, 2018.

• Accelerating Adaptive Online Learning by Matrix Approximation [PDF, Supplementary]
Yuanyu Wan, and Lijun Zhang
In Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18), pages 405 - 417, 2018.

# Journal Publications

• Efficient Adaptive Online Learning via Frequent Directions [PDF]
Yuanyu Wan, and Lijun Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press, 2021.

• Online Strongly Convex Optimization with Unknown Delays [arXiv]
Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
Machine Learning, in press, 2021.

• Strongly Adaptive Online Learning over Partial Intervals [PDF]
Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
Science China Information Sciences (SCIS), in press, 2021.

• Accelerating Adaptive Online Learning by Matrix Approximation [PDF]
Yuanyu Wan, and Lijun Zhang
International Journal of Data Science and Analytics (JDSA), 9(4):389 - 400, 2020.

# Honors

• National Scholarship for Ph.D. Students, 2021
• Puxin Elite Scholarship, 2021
• Best Reviewers of ICML 2021, 2021
• CETC The 14TH Research Institute Glarun Scholarship, 2020
• Excellent Graduate of Nanjing University, 2019
• National Scholarship for Master Students, 2018
• Excellent Graduates of Sun Yat-sen University, 2016
• BaoSteel Scholarship for Undergraduates, 2014
• National Scholarship for Undergraduates, 2013, 2015