SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. - Eric Hanchen Jiang; Andrew Lizarraga (Tiny Papers @ ICLR, 2024)

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting. - Eric Hanchen Jiang; Zhi Zhang 012; Dinghuai Zhang; Andrew Lizarraga; Chenheng Xu; Yasi Zhang; Siyan Zhao; Zhengjie Xu; Peiyu Yu; Yuer Tang; Deqian Kong; Ying Nian Wu (CoRR, 2024)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. - Zhi Zhang 012; Chris Chow; Yasi Zhang; Yanchao Sun; Haochen Zhang; Eric Hanchen Jiang; Han Liu 001; Furong Huang; Yuchen Cui; Oscar Hernan Madrid Padilla (CoRR, 2024)

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory. - Eric Hanchen Jiang; Yasi Zhang; Zhi Zhang 012; Yixin Wan; Andrew Lizarraga; Shufan Li; Ying Nian Wu (CoRR, 2024)

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models. - Andrew Lizarraga; Eric Hanchen Jiang; Jacob Nowack; Yun Qi Li; Ying Nian Wu; Bernie Boscoe; Tuan Do (CoRR, 2024)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory. - Zhi Zhang 012; Chris Chow; Yasi Zhang; Yanchao Sun; Haochen Zhang; Eric Hanchen Jiang; Han Liu 001; Furong Huang; Yuchen Cui; Oscar Hernan Madrid Padilla (AISTATS, 2025)

Multi-head Reward Aggregation Guided by Entropy. - Xiaomin Li; Xupeng Chen; Jingxuan Fan; Eric Hanchen Jiang; Mingye Gao (CoRR, 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 (CoRR, 2025)

Seek in the Dark: 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 (CoRR, 2025)

Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision. - 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 (CoRR, 2025)

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists. - Pengsong Zhang; Xiang Hu; Guowei Huang; Yang Qi; Heng Zhang; Xiuxu Li; Jiaxing Song; Jiabin Luo; Yijiang Li; Shuo Yin; Chengxiao Dai; Eric Hanchen Jiang; et al. (CoRR, 2025)