About Me

I am Weihan Li (黎维瀚), a PhD student at Georgia Tech CSE. I belong to Prof. Anqi Wu’s group. Previously, I was an undergraduate at Zhejiang University, working with Prof. Gang Pan. My resume is here.

Research interests

My research focuses on developing advanced methods for modeling large-scale neural (behavioral) data to address fundamental problems in neuroscience. Additionally, I am interested in the intersection of reinforcement learning and LLMs.

Methodologies: State-space models, Reinforcement Learning, Probabilistic Generative Modeling, Probabilistic Inference

Applications: Computational Neuroscience, LLM Alignment, and Reasoning

Publications

You can also find my publications on my Google Scholar profile.

Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes
[Paper]
Weihan Li, Yule Wang, Chengrui Li, Anqi Wu
Preprint

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
[Paper]
Yule Wang, Chengrui Li, Weihan Li, Anqi Wu
38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
[Paper] [Code]
Weihan Li, Chengrui Li, Yule Wang, Anqi Wu
41th International Conference on Machine Learning (ICML 2024)

A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
[Paper] [Code]
Chengrui Li, Weihan Li, Yule Wang, Anqi Wu
41th International Conference on Machine Learning (ICML 2024)

Forward $\chi^2$ Divergence Based Variational Importance Sampling
[Paper] [Code]
Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
12th International Conference on Learning Representations (ICLR 2024 Spotlight)

Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
[Paper] [Code]
Weihan Li, Yu Qi, Gang Pan
36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022)

Efficient Point-Process Modeling of Spiking Neurons for Neuroprosthesis
[Paper]
Weihan Li^, CunLe Qian^, Yu Qi, Yiwen Wang, Yueming Wang, Gang Pan
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2021)
^These authors contributed to the work equally.

Activities

Reviewer: NeurIPS, ICML, ICLR.