Puheng Li

According to our database1, Puheng Li authored at least 10 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
One-Step Generative Modeling via Wasserstein Gradient Flows.
CoRR, May, 2026

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration.
CoRR, March, 2026

2025
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.
CoRR, December, 2025

Data-regularized Reinforcement Learning for Diffusion Models at Scale.
CoRR, December, 2025

Robust Sampling for Active Statistical Inference.
CoRR, November, 2025

CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Analyzing the Role of Permutation Invariance in Linear Mode Connectivity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity.
CoRR, 2024

2023
On the Generalization Properties of Diffusion Models.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


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