Jing-Cheng Shi M.Sc. Student LAMDA Group Department of Computer Science National Key Laboratory for Novel Software Technology Nanjing University Laboratory: Building of Computer Science and Technology, Xianlin Campus of Nanjing University email: shijc@lamda.nju.edu.cn

Supervisor

Associate professor Yang Yu.

Biography

I received my M.Sc. degree from Department of Computer Science and Technology in June 2018 from Nanjing University and LAMDA Group which is led by professor Zhi-Hua Zhou.

I received my B.Sc. degree in Department of Mathematic, Nanjing University , in June 2015. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

Research Interest

I am interested in investigating towards the goal of artificial intelligence.

• Reinforment Learning
• Derivative-Free Optimization

Publication

Journal Articles

• Chao Qian, Jing-Cheng Shi, Ke Tang, and Zhi-Hua Zhou.Constrained Monotone k-Submodular Function Maximization Using Multi-objective Evolutionary Algorithms with Theoretical Guarantee. IEEE Transactions on Evolutionary Computation, 2018, 22(4), 595-608.[Preprint PDF] [Supplementary] [PDF](code)

Conference Papers

• Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, and Lijun Zhang. Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. In: Proceedings of the 15th International Conference on Web Search and Data Mining (WSDM’22), to appear, 2022.

• Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, An-Xiang Zeng. Virtual-Taobao: Virtualizing real-world online retail environment for reinforcement learning. In: Proceedings of the 33nd AAAI Conference on Artificial Intelligence (AAAI’19), Honolulu, Hawaii, 2019.

• Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, and Zhi-Hua Zhou. Subset selection under noise. In: Advances in Neural Information Processing Systems 30 (NIPS'17), Long Beach, CA, 2017. (PDF with Appendix)

• Jing-Cheng Shi, Chao Qian, and Yang Yu. Evolutionary multi-objective optimization made faster by sequential decomposition. In: Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC'17), San Sebastian, Spain, 2017. (PDF)

• Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang and Zhi-Hua Zhou. Optimizing ratio of monotone set functions. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, pp.2606-2612. (PDF) (Code)

• Chao Qian, Jing-Cheng Shi, Yang Yu, and Ke Tang. On subset selection with general cost constraints. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, pp.2613-2619. (PDF) (Code)

• Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, and Zhi-Hua Zhou. Parallel Pareto optimization for subset selection. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), New York, NY, 2016, pp.1939-1945. (PDF)

Awards & Honors

• OpenAI Retro Contest (Transfer Learning in Reinforcement learning), Champion, 2018
• National Endeavor Fellowship. Nanjing, 2012, 2013, 2014
  
• The excellent students of Nanjing University. Nanjing, 2013
  
• Third Prize in China Undergraduate Mathematical Contest in Modeling (CUMCM). Nanjing, 2012
  

Mail:
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese:) 南京市栖霞区仙林大道163号，南京大学仙林校区603信箱，软件新技术国家重点实验室，210023。