Miao Lu

PhD student, Stanford University

Joined

May 2021

Names

Miao Lu (Preferred)

Emails

****@mail.ustc.edu.cn (Confirmed)

****@gmail.com (Confirmed)

****@compai.tech (Confirmed)

****@stanford.edu (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

Stanford University (stanford.edu)

2023 – Present

Undergrad student

University of Science and Technology of China (ustc.edu.cn)

2018 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

Large Language Models

2023 – Present

Reinforcement Learning

2021 – Present

Deep Learning

2021 – Present

Publications

Scaling Long-Horizon Agent via Context Folding
Weiwei Sun, Miao Lu, Zhan Ling, Kang Liu, Xuesong Yao, Yiming Yang, Jiecao Chen
- Submitted to ICLR 2026
- Readers: Everyone
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
Miao Lu, Weiwei Sun, Weihua Du, Zhan Ling, Xuesong Yao, Kang Liu, Jiecao Chen
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Understanding the Test-Time Computing of Transformers: A Theoretical Study on In-Context Linear Regression
Xingwu Chen, Miao Lu, Beining Wu, Difan Zou
- FoRLM 2025
- Readers: Everyone
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang
- M3L Oral
- Readers: Everyone
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang
- ICLR 2025 Oral
- Readers: Everyone
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose Blanchet, Zhaoran Wang
- ARLET 2024 Poster
- Readers: Everyone
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Miao Lu, Han Zhong, Tong Zhang, Jose Blanchet
- ARLET 2024 Poster
- Readers: Everyone
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
Miao Lu, Han Zhong, Tong Zhang, Jose Blanchet
- NeurIPS 2024 poster
- Readers: Everyone
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose Blanchet, Zhaoran Wang
- NeurIPS 2024 poster
- Readers: Everyone
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou
- M3L 2023 Poster
- Readers: Everyone

View all 17 publications

Co-Authors

View all 38 co-authors