Kun Wang @Purdue

Kun Wang

Ph.D. Student
Department of Computer Science
Purdue University

About me

Welcome to my homepage! I am a Ph.D. Student in the Department of Computer Science of Purdue University. I am fortunately advised by Prof. Paul Valiant and Prof. Steve Hanneke. I am interested in theoretical computer science. Previously, I also have some experience on multi-armed bandit, differential privacy, information and coding theory, optimization theory, reinforcement learning theory, game theory and cryptography.

Education

Ph.D. in Computer Science, Purdue University, 2022 - present
M.Sc. in Computer Science, Shanghai Jiao Tong University, 2019 - 2022
B.Eng. in Information Security, Xidian University, 2015 - 2019

Publications

(α-β)Simina Brânzei, MohammadTaghi Hajiaghayi, Reed Phillips, Suho Shin, Kun Wang
Dueling over Dessert, Mastering the Art of Repeated Cake Cutting (Preprint).
Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li
Cascading Bandit under Differential Privacy (ICASSP 2022).
Kun Wang
Conservative Contextual Combinatorial Cascading Bandit (IEEE Access Volume 9, 2021).

Teaching

Spring 2024, Introduction to the Theory of Computation, Purdue University
Fall 2023, Algorithm Design Analysis and Implementation, Purdue University
Fall 2019, Data Structure, Shanghai Jiao Tong University

Contact

Address:Lawson Computer Science Building, Purdue University
305 N. University Street, West Lafayette, IN 47907, United States
E-mail:wangkun8512 at gmail dot com ,wang5675 at purdue dot edu