Publications

2025

A Disentangled Low-Rank RNN Framework For Uncovering Neural Connectivity and Dynamics
Chengrui Li, Yunmiao Wang, Yule Wang, Weihan Li, Dieter Jaeger, and Anqi Wu
{The Fourteenth International Conference on Learning Representations (ICLR), 2026 [under review]
[paper] [arXiv] [code] [slides] [video] [poster]

A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
Chengrui Li, Yunmiao Wang, Yule Wang, Weihan Li, Dieter Jaeger, and Anqi Wu
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 [under review]
[paper] [arXiv] [code] [slides] [video] [poster]

Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
Weihan Li, Yule Wang, Chengrui Li, and Anqi Wu
The Forty-Second International Conference on Machine Learning (ICML), 2025 [Oral: 1.0%]
[paper] [arXiv] [code] [slides] [video] [poster]

Feature Reconstruction Guided Fusion Network for Hyperspectral and LiDAR Classification
Zhi Li, Ke Zheng, Lianru Gao, Nannan Zi, and Chengrui Li,
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
[paper]

2024

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang, Chengrui Li, Weihan Li, and Anqi Wu
Advances in Neural Information Processing Systems 36 (NeurIPS), 2024
[paper] [arXiv] [code] [slides] [video] [poster]

Cross Semantic Heterogeneous Modeling Network for Hyperspectral Image Classification
Zhi Li, Ke Zheng, Jiaxin Li, Chengrui Li, and Lianru Gao
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
[paper]

A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
Chengrui Li, Weihan Li, Yule Wang, and Anqi Wu
The Forty-first International Conference on Machine Learning (ICML), 2024
[paper] [arXiv] [code] [slides] [video] [poster] [文章]

Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
Weihan Li, Chengrui Li, Yule Wang, and Anqi Wu
The Forty-first International Conference on Machine Learning (ICML), 2024
[paper] [arXiv] [code] [slides] [video] [poster]

Inverse Kernel Decomposition
Chengrui Li and Anqi Wu
Transactions on Machine Learning Research (TMLR), 2024
[paper] [arXiv] [code] [slides] [文章]

Similarity of Memory Representations Modulate Saccade Curvatures
Golnaz Forouzandehfar, Chengrui Li, Aaron T. Buss, and A. Caglar Tas
Journal of Vision, 2024
[poster] [abstract]

Forward \(\chi^2\) Divergence Based Variational Importance Sampling
Chengrui Li, Yule Wang, Weihan Li, and Anqi Wu
The Twelfth International Conference on Learning Representations (ICLR), 2024 [spotlight 5%]
[paper] [arXiv] [code] [slides] [video] [poster] [文章]

One-hot Generalized Linear Model for Switching Brain State Discovery
Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, and Anqi Wu
The Twelfth International Conference on Learning Representations (ICLR), 2024
[paper] [arXiv] [code] [slides] [video] [poster] [文章]

2023

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model
Yule Wang, Zijing Wu, Chengrui Li, and Anqi Wu
Advances in Neural Information Processing Systems 35 (NeurIPS), 2023 [Spotlight: 3%]
[paper] [arXiv] [code] [slides] [video] [poster]

2020

The application of fractional order image enhancement in computational neuroscience
Chengrui Li, Wei Deng, and Yifei Pu
Sichuan University Undergraduate Thesis, 2020 [Outstanding Undergraduate Thesis]
[文章]

2019

Continuous-time systems for solving 0-1 integer linear programming feasibility problems
Chengrui Li and Bruce J. MacLennan
arXiv:1905.04612, 2019
[arXiv]