Zhennan(Leo)’s Homepage

Hello, welcome to my homepage! I am a Ph.D. student of computer science at Indiana University, Bloomington. I am adviced by Yijie Wang and previously I was advised by Roni Khardon.

My research interests lie in efficient inference on probabilistic graphical models, precise oncology, stochastic planning and Reinforcement Learning.

Currently, I am working on designing efficient algorithms for cancer drug discovery.

News

8/2022: The paper “Approximate Inference for Stochastic Planning in Factored Spaces” is accepted by the 11th International Conference on Probabilistic Graphical Models.

3/2022: New preprint: develops a framework that captures many algorithms connecting stochastic planning and approximate probabilistic inference, and evaluates some old and new planning algorithms based on belief propagation and variational approximations.