Yikun Ban
I am a Ph.D. student in computer science at
University of Illinois at Urbana-Champaign , advised by Prof.
Jingrui He , and I work closely with Prof.
Arindam Banerjee and Prof.
Hanghang Tong.
Prior to this, I obtained my Master's degree from
EECS, Peking University and
bachelor's degree from
Wuhan University.
I am interested in provable algorithms in the space of multi-armed bandits, deep learning theory, and reinforcement learning, to solve real-world exploitation-exploration problems.
In the past, my research efforts have included similarity metrics, clustering algorithms, and graph mining algorithms with applications in fraud detection.
yikunb2[at]illinois.edu
Google Scholar
News
- 2022.09 One paper was accepted by NeurIPS 2022!
- 2022.05 One paper was accepted by KDD 2022!
- 2022.01 One paper was accepted by ICLR 2022 Spotlight! EE-Net provides a novel neural-based exploration strategy, distinct from
standard UCB and TS.
- 2021.05 One paper was accepted by KDD 2021!
- 2021.01 One paper was accepted by WWW 2021!