💻 About Me

I am Wenxiao Zhao, a second-year Master’s student in the Department of Statistics & Data Science, University of California Los Angeles, advised by Prof. Ying Nian Wu. I received my B.Eng in Computer Science and Engineering at the Chinese University of Hong Kong in 2024, advised by Prof. Baoxiang Wang.

My research focuses on large language models, reinforcement learning, and self-evolving agents.

✨ I am looking for 2027 internship opportunities. If your team is hiring, please feel free to contact me at wenxiao0367@ucla.edu.

📝 Publications

COLM 2026

Se-DPO: Self-Evolving Token Credit for Direct Preference Optimization

Wenxiao Zhao, Shu Wang, Ying Nian Wu

NeurIPS 2026 ED

BoardGameArena: A Multi-Dimensional Benchmark for Strategic Reasoning of LLMs in Board Games

Wenxiao Zhao, Shu Wang, Renxi Wang, Yi Yi, Yasi Zhang, Chengyuan Ma, Deqian Kong, Pan Lu, Ying Nian Wu, Benjamin Z. Yao

NeurIPS 2026

Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning

Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao Wang

NAACL 2025

Explore the Reasoning Capability of LLMs in the Chess Testbed

Shu Wang, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, Ying Nian Wu

Preprint · 2026

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination

Wenxiao Zhao, Dong Liu, Kaiyi Xu, Feng Liu, Zhen Zhao, Fei Ben, Shu Wang, Wenhao Li, Ying Nian Wu, Fenghua Ling, Haobo Li, Lei Bai

Preprint

BiTempo: Adaptive Two-Timescale Latent Inference with Language Models for Scientific Equation Discovery

Wenxiao Zhao, Dong Liu, Eric Hanchen Jiang, Yilin Chen, Yanxuan Yu, Shu Wang, Deqian Kong, Wenhao Li, Fenghua Ling, Ying Nian Wu, Haobo Li

Preprint · 2026

Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems

Jinxi Yu, Yubei Li, Eric Hanchen Jiang, Zhi Zhang, Dong Liu, Wenxiao Zhao, Levina Li, Kai-Wei Chang, Ying Nian Wu

Preprint · 2026

Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning

Jinxi Yu, Eric Hanchen Jiang, Levina Li, Dong Liu, Zhi Zhang, Wenxiao Zhao, Yanxuan Yu, Kai-Wei Chang, Ying Nian Wu

Preprint · 2026

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification

Haobo Li, Eunseo Jung, Wenxiao Zhao, Feng Liu, Jiong Wang, Kaiyi Xu, Zijie Guo, Zixin Chen, Ben Fei, Fenghua Ling, Lei Bai

Preprint · 2026

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification

Yanxuan Yu, Dong Liu, Shu Wang, Wenxiao Zhao, Eric Jiang, Chang Liu, Jinxi Yu, Hui Pan, Ben Lengerich, Tong Geng, Renata Borovica-Gajic, Ying Nian Wu

🎖 Honors and Awards

UCLA Scholarship (US$10,000+).
UCLA Early Admission Nomination (3/390).
Bowen First Class Scholarship (Top 1%), The Chinese University of Hong Kong(SZ).
CUHK Summer Program Scholarship.
Third Prize, The 13th Chinese Mathematics Competitions(CMC), AY2021.
Undergraduate Research Awards, The Chinese University of Hong Kong(SZ), 19th Round & 23rd Round.
Excellent Peer Advisor, School of Data Science, The Chinese University of Hong Kong(SZ), AY2023.

📖 Education

Sep 2024 – June 2026, M.S in Statistics, Department of Statistics & Data Science, University of California Los Angeles (3.9/4.0).
Sep 2020 – July 2024, B.Eng in Computer Science and Engineering, School of Data Science, The Chinese University of Hong Kong(SZ).