Puheng Li

12 papers A* 2A 1Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration.
CoRR
Jiaqi Han, Juntong Shi, Puheng Li, Haotian Ye, Qiushan Guo, Stefano Ermon
2025 A conf
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity.
AISTATS
Keyao Zhan, Puheng Li, Lei Wu
2025 J jnl
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity.
CoRR
Keyao Zhan, Puheng Li, Lei Wu
2025 J jnl
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers.
CoRR
Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon
2025 J jnl
Data-regularized Reinforcement Learning for Diffusion Models at Scale.
CoRR
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
2025 J jnl
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.
CoRR
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
2025 J jnl
Robust Sampling for Active Statistical Inference.
CoRR
Puheng Li, Tijana Zrnic, Emmanuel J. Candès
2024 J jnl
Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity.
CoRR
Zhanran Lin, Puheng Li, Lei Wu
2023 A* conf
FaiREE: fair classification with finite-sample and distribution-free guarantee.
ICLR
Puheng Li, James Zou, Linjun Zhang
2023 A* conf
On the Generalization Properties of Diffusion Models.
NeurIPS
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 J jnl
On the Generalization Properties of Diffusion Models.
CoRR
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2022 J jnl
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee.
CoRR
Puheng Li, James Zou, Linjun Zhang