Binghui Li

PhD student, Peking University, Peking University

Joined

May 2022

Names

Binghui Li (Preferred)

Emails

****@pku.edu.cn (Confirmed)

Personal Links

Career & Education History

PhD student

Peking University, Peking University (pku.edu.cn)

2023 – 2028

Undergrad student

Peking University, Peking University (pku.edu.cn)

2019 – 2023

Advisors, Relations & Conflicts

Coauthor

Liwei Wang

2021 – Present

Expertise

Machine Learning

2021 – Present

Publications

Optimal Learning-Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay
Binghui Li, Zilin Wang, Fengling Chen, Shiyang Zhao, Ruiheng Zheng, Lei Wu
- ICLR 2026 DeLTa Workshop Poster
- Readers: Everyone
Scaling-Law Analysis of SignSGD: From Feature-Space Linear Regression to LLM Pre-training
Binghui Li, Jianan Wang, Jinbo Wang, Lean Wang, Zilin Wang, Lei Wu
- Sci4DL 2026
- Readers: Everyone
Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws
Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu
- ICLR 2026 Poster
- Readers: Everyone
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
Tingkai Yan, Haodong Wen, Binghui Li, Kairong Luo, Wenguang Chen, Kaifeng Lyu
- ICLR 2026 Poster
- Readers: Everyone
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
Tingkai Yan, Haodong Wen, Binghui Li, Kairong Luo, Wenguang Chen, Kaifeng Lyu
- NeurIPS 2025 Workshop
- Readers: Everyone
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
Binghui Li, Fengling Chen, Zixun Huang, Lean Wang, Lei Wu
- NeurIPS 2025 spotlight
- Readers: Everyone
On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
Binghui Li, Yuanzhi Li
- ICML 2025 poster
- Readers: Everyone
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li, Yuanzhi Li
- M3L Poster
- Readers: Everyone
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li
- ICLR 2025 Poster
- Readers: Everyone
Understand Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
Binghui Li, Yuanzhi Li
- Submitted to ICLR 2025
- Readers: Everyone

View all 19 publications

Co-Authors

View all 30 co-authors