Eric Hanchen Jiang

PhD student, University of California, Los Angeles

Joined

November 2023

Names

Eric Hanchen Jiang (Preferred)

Emails

****@ucla.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of California, Los Angeles (ucla.edu)

2025 – 2030

Undergrad student

University of California, Los Angeles (ucla.edu)

2022 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Kai-Wei Chang

2025 – 2030

PhD Advisor

Ying Nian Wu

2023 – 2030

Expertise

Large Language Model

Present

Reinforcement Learning

2024 – Present

Computer Vision

2024 – Present

Publications

Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space
Hengli Li, Chenxi Li, Tong Wu, Xuekai Zhu, Yuxuan Wang, Zhaoxin Yu, Eric Hanchen Jiang, Song-Chun Zhu, Zixia Jia, Ying Nian Wu, Zilong Zheng
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
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
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
GTD: 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
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Energy-Driven Steering: Reducing False Refusals in Large Language Models
Eric Hanchen Jiang, Weixuan Ou, Run Liu, Shengyuan Pang, Guancheng Wan, Ranjie Duan, Wei Dong, Kai-Wei Chang, XiaoFeng Wang, Ying Nian Wu, Xinfeng Li
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang
- ICLR 2026 Poster
- Readers: Everyone
Distortion Regularization for Distance-Preserving Graph Embedding
Maggie Cheng, Jingbang Chen, Eric Hanchen Jiang, Ying Nian Wu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Two Lenses are Better Than One: Dual Vector Quantization for Self-Supervised Graph Learning
Eric Hanchen Jiang, Guancheng Wan, Chunhe Wang, Jingbang Chen, Wenxiao Zhao, Zitong Shi, Zhaolu Kang, Maggie Cheng, Ying Nian Wu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts
Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models
Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao
- RegML 2025 Poster
- Readers: Everyone
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
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone

View all 19 publications

Co-Authors

View all 83 co-authors