Eric Hanchen Jiang

Eric Hanchen Jiang

👋 Hi!

My name is Eric Jiang (姜汉晨), and I am a first-year Statistics and Data Science PhD student at UCLA, supervised by Prof. Kai-Wei Chang and Prof. Ying Nian Wu.

🔎 Research Interests

My research focuses on advancing large language models in reasoning, safety, and agentic capabilities, with the goal of building systems that are reliable, effective, and scalable for real-world applications.

I am currently developing agent harnesses for tackling challenging mathematical problems, including open problems. Looking ahead, I aim to design efficient agent infrastructure that improves how LLM-based agents use tools, memory, and long-horizon reasoning.

📝 Publications

Under Review

Preprint · 2026
Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning
Eric Hanchen Jiang, L. Li, R. Sun, Xiao Liang, Y. Li, Y. Wu, Haozheng Luo, Hengli Li, Z. Zhang, Z. Kang, et al.
Preprint · 2026
Learning to Rank Chain-of-Thought: Using a Small Model
Eric Hanchen Jiang, Haozheng Luo, Shengyuan Pang, Xiaomin Li, Zhenting Qi, Hengli Li, Cheng-Fu Yang, Zongyu Lin, Xinfeng Li, Hao Xu, Kai-Wei Chang, Ying Nian Wu

Published

ACL Main 2026
Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
Eric Hanchen Jiang†, Weixuan Ou†, Run Liu, Shengyuan Pang, Guancheng Wan, Ranjie Duan, Wei Dong, Kai-Wei Chang, XF Wang, Ying Nian Wu, Xinfeng Li
ACL Main 2026
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
Eric Hanchen Jiang†, Guancheng Wan†, Sophia Yin†, Mengting Li†, Yuchen Wu, Xiao Liang, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu
ACL Main 2026
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
Xiao Liang, Z.Z. Li, Zongyu Lin, Eric Hanchen Jiang, Heng Zhang, Yizhou Shen, Kai-Wei Chang, Ying Nian Wu, et al.
AAAI 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
Guancheng Wan, M. Zhou, Z. Wang, X. Shang, Eric Hanchen Jiang, G. Zhang, J. Bi, Y. Ma, et al.
AAAI 2026
Multi-head Reward Aggregation Guided by Entropy
Xinfeng Li, X. Chen, J. Fan, Eric Hanchen Jiang, M. Gao
ICLR 2026
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Guancheng Wan, L. Fu, H. Liu, Y. Jin, H.Y. Leong, Eric Hanchen Jiang, H. Geng, J. Bi, Y. Ma, et al.
NeurIPS Datasets & Benchmarks 2025
CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs
Sijia Chen, Xiaomin Li, Mengxue Zhang, Eric Hanchen Jiang, Qingcheng Zeng, Chen-Hsiang Yu
AISTATS 2025
Statistical Guarantees for Lifelong Reinforcement Learning Using PAC-Bayesian Theory
Z. Zhang, C. Chow, Y. Zhang, Yizhou Sun, Heng Zhang, Eric Hanchen Jiang, H. Liu, F. Huang, Y. Cui, O.H.M. Padilla
ICLR Tiny Papers 2024
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning
Eric Hanchen Jiang, A. Lizarraga

📖 Education

University of California, Los Angeles (UCLA) 2025.08 – 2030.06 (Expected)
Ph.D. in Statistics and Data Science
Advisors: Prof. Ying Nian Wu & Prof. Kai-Wei Chang
University of California, Los Angeles (UCLA) 2022.06 – 2025.06
B.S. in Statistics & Data Science; B.S. in Mathematics of Computation
GPA: 3.85/4.00

💼 Work Experience

Alibaba Cloud Group 2025.06 – 2025.08
Machine Learning Research Intern
Mentor: Ranjie Duan
Developed methods to mitigate jailbreaking attacks on LLMs; built agentic LLMs for personalized multi-turn dialogue systems.

🎖 Honors and Awards

  • 2025 UCLA Graduate Dean’s Scholar Award (GDSA)
  • 2025 Princeton University Graduate Student Fellowship (Declined)
  • 2023 – 2024 Dean’s Honors List, UCLA