Puheng Li

According to our database, Puheng Li authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

One-Step Generative Modeling via Wasserstein Gradient Flows.

Jiaqi Han, Puheng Li, Qiushan Guo, Renyuan Xu, Stefano Ermon, Emmanuel J. Candès

CoRR, May, 2026

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration.

Jiaqi Han, Juntong Shi, Puheng Li, Haotian Ye, Qiushan Guo, Stefano Ermon

CoRR, March, 2026

2025

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.

Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu

CoRR, December, 2025

Data-regularized Reinforcement Learning for Diffusion Models at Scale.

Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon

CoRR, December, 2025

Robust Sampling for Active Statistical Inference.

Puheng Li, Tijana Zrnic, Emmanuel J. Candès

CoRR, November, 2025

CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers.

Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Analyzing the Role of Permutation Invariance in Linear Mode Connectivity.

Keyao Zhan, Puheng Li, Lei Wu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity.

Zhanran Lin, Puheng Li, Lei Wu

CoRR, 2024

2023

On the Generalization Properties of Diffusion Models.

Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FaiREE: fair classification with finite-sample and distribution-free guarantee.

Puheng Li, James Zou, Linjun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023