Currently, I am a fifth year graduate student of Department of Computer Science and Technology in Nanjing University and also a member of LAMDA Group, led by professor Zhi-Hua Zhou.
Supervisor
Professor Lijun Zhang.
Biography
I received my B.E. degree from School of the Gifted Young, University of Science and Technology of China (USTC) in June 2017. In the same year, I was admitted to study for a Ph.D. degree in Nanjing University (NJU) without entrance examination.
Research Interests
I am interested in designing and analyzing machine learning algorithms that can effectively and efficiently interact with environments under either full-information or bandit feedback. Currently, I am focused on developing algorithms and theories for online learning in open and dynamic environments.
Publication
- Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization
Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, and Lijun Zhang
In Proceedings of the 15th International Conference on Web Search and Data Mining (WSDM 2022), to appear, 2022 - Revisiting Smoothed Online Learning
Lijun Zhang, Wei Jiang, Shiyin Lu, and Tianbao Yang
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), to appear, 2021 - Stochastic Bandits with Graph Feedback in Non-stationary Environments [PDF]
Shiyin Lu, Yao Hu, and Lijun Zhang
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), pages 8758 – 8766, 2021. - Stochastic Graphical Bandits with Adversarial Corruptions [PDF]
Shiyin Lu, Guanghui Wang, and Lijun Zhang
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), pages 8749 – 8757, 2021. - Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy [PDF]
Yimu Wang, Shiyin Lu, and Lijun Zhang
In Proceedings of the 28th ACM International Conference on Multimedia (ACM Multimedia 2020), pages 2700 – 2709, 2020. - Minimizing Dynamic Regret and Adaptive Regret Simultaneously [PDF, arXiv]
Lijun Zhang, Shiyin Lu, and Tianbao Yang
In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), pages 309 – 319, 2020. - SAdam: A Variant of Adam for Strongly Convex Functions [PDF]
Guanghui Wang, Shiyin Lu, Quan Cheng, Wei-Wei Tu, and Lijun Zhang
In International Conference on Learning Representations (ICLR 2020), 2020. - Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization [PDF]
Guanghui Wang, Shiyin Lu, Yao Hu, and Lijun Zhang
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pages 6162 – 6169, 2020. - Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards [PDF, Supplementary]
Shiyin Lu, Guanghui Wang, Yao Hu, and Lijun Zhang
In Proceedings of the 36th International Conference on Machine Learning (ICML 2019), pages 4154 – 4163, 2019. - Multi-Objective Generalized Linear Bandits [PDF, arXiv]
Shiyin Lu, Guanghui Wang, Yao Hu, and Lijun Zhang
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pages 3080 – 3086, 2019. - Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization [PDF, Supplementary]
Guanghui Wang, Shiyin Lu, and Lijun Zhang
In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), 2019. - Adaptive Online Learning in Dynamic Environments [PDF, arXiv]
Lijun Zhang, Shiyin Lu, and Zhi-Hua Zhou
In Advances in Neural Information Processing Systems 31 (NeurIPS 2018), pages 1323 – 1333, 2018.
Academic Service
- Reviewer for Conferences: AAAI 2021, NeurIPS 2020, ICML 2020, IJCAI 2020 – 2021, ECAI 2020.
- Reviewer for Journal: ACM TIST.
Awards & Honors
- 入选AI华人新星百强榜单, 百度学术, 2021.
- National Scholarship for Doctoral Student, MOE of PRC, 2019.
- Outstanding Graduate Student, NJU, 2019.
- National Scholarship for Master Student, MOE of PRC, 2018.
- Outstanding Graduate Student, NJU, 2018.
- Kwang-Hua Scholarship, USTC, 2016.
Teaching Assistant
- Optimization Methods (With Prof. Lijun Zhang; For Graduate Student, Fall, 2020)
- Optimization Methods (With Prof. Lijun Zhang; For Graduate Student, Fall, 2019)