Fang Kong (孔芳)

I am a third-year Ph.D. candidate in John Hopcroft Center, Shanghai Jiao Tong University under the supervision of Prof. Shuai Li. I am also a member in Wu Honor Ph.D. Class in Artificial Intelligence, Shanghai Jiao Tong University starting from Autumn 2020. Before joining SJTU, I obtained my bachelor degree in Software engineering from Shandong University (1/318).

My current research mainly focuses on bandit theory and reinforcement learning theory.

Office: Room 1119, No.1 Software Engineering Building, Dongchuan Road 800, Shanghai, China
Email: fangkong[at]sjtu.edu.cn

[CV] [GoogleScholar] [DBLP] [GitHub]

 

Publications

• Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback [link][arXiv]
  Fang Kong, Yichi Zhou, Shuai Li.
  The 39th International Conference on Machine Learning (ICML). 2022.

• Thompson Sampling for Bandit Learning in Matching Markets [link][arXiv]
  Fang Kong, Junming Yin, Shuai Li.
  The 31st International Joint Conference on Artificial Intelligence (IJCAI). 2022.

• The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle [link][arXiv] [slides][poster]
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li.
  The 35th Conference on Neural Information Processing Systems (NeurIPS). 2021.

• Combinatorial Online Learning based on Optimizing Feedbacks (in Chinese) [link]
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li.
  Big Data Research. 2021.

• Online Influence Maximization under Linear Threshold Model [link][arXiv][slides][poster]
  Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen.
  The 34th Conference on Neural Information Processing Systems (NeurIPS). 2020.

• A Survey on Online Influence Maximization (in Chinese) [link]
  Fang Kong, Qizhi Li, Shuai Li.
  Computer Science. 2020.

Internships

• 2022.7--               Intern at Tencent WXG as a member of the Tencent Rhino-Bird Research Elite Program, Shenzhen, China.
• 2021.12-2022.5   Research Intern of Dr. Yichi Zhou at Microsoft Research Asia (MSRA), Beijing, China.
• 2021.6-2021.8     Research Intern of Dr. Xue Wang and Dr. Tao Yao at Alibaba DAMO Academy, Hangzhou, China.

Professional Services

Conference Reviewer for

• International Conference on Machine Learning (ICML) 2022
• Conference on Neural Information Processing Systems (NeurIPS) 2022-2021

Awards

• National Scholarship (for Ph.D. students), from the ministry of Education of China, 2022
• Award of Excellence in Stars of Tomorrow Internship Program, Microsoft Research Asia, 2022
• First Prize for Outstanding Ph.D. Student, John Hopcroft Center, Shanghai Jiao Tong University, 2022
• Outstanding Graduates of Shandong Province, 2020
• Honours Bachelor of Shandong University, 2020
• Outstanding Undergraduate Thesis of Shandong University, 2020
• National Scholarship (for undergraduate students), from the ministry of Education of China, 2018,2017
• First-class scholarship for outstanding students in Shandong University, 2018,2017

Teaching Assistantships

• CS3317 Artificial Intelligence (Undergraduate), SJTU, Fall 2022
• CS445 Combinatorics (Undergraduate), SJTU, Fall 2021
• CS410 Artificial Intelligence (Undergraduate), SJTU, Fall 2020