Gaze Tracking Algorithm Based on Projective Mapping Correction and Gaze Point Compensation in Natural Light. - Dazheng Hu; Huabiao Qin; Hongmei Liu; Shenao Zhang (ICCA, 2019)

Structure-Regularized Attention for Deformable Object Representation. - Shenao Zhang; Li Shen 005; Zhifeng Li 001; Wei Liu 005 (CoRR, 2021)

Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning. - Shenao Zhang (NeurIPS, 2022)

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. - Shenao Zhang; Li Shen 005; Lei Han; Li Shen 008 (CoLLAs, 2023)

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics. - Shenao Zhang; Wanxin Jin; Zhaoran Wang 001 (ICML, 2023)

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. - Zhihan Liu; Miao Lu; Wei Xiong 015; Han Zhong 001; Hao Hu; Shenao Zhang; Sirui Zheng; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2023)

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. - Shenao Zhang; Boyi Liu 001; Zhaoran Wang 001; Tuo Zhao (NeurIPS, 2023)

Asking Before Action: Gather Information in Embodied Decision Making with Language Models. - Xiaoyu Chen; Shenao Zhang; Pushi Zhang; Li Zhao 007; Jianyu Chen (CoRR, 2023)

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. - Zhihan Liu; Miao Lu; Wei Xiong 015; Han Zhong 001; Hao Hu; Shenao Zhang; Sirui Zheng; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2023)

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. - Zhihan Liu; Hao Hu; Shenao Zhang; Hongyi Guo; Shuqi Ke; Boyi Liu 001; Zhaoran Wang 001 (CoRR, 2023)

Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations. - Feng Gao; Liangzhi Shi; Shenao Zhang; Zhaoran Wang 001; Yi Wu 013 (ICML, 2024)

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. - Zhihan Liu; Hao Hu; Shenao Zhang; Hongyi Guo; Shuqi Ke; Boyi Liu 001; Zhaoran Wang 001 (ICML, 2024)

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. - Zhihan Liu; Miao Lu; Shenao Zhang; Boyi Liu 001; Hongyi Guo; Yingxiang Yang; Jose H. Blanchet; Zhaoran Wang 001 (NeurIPS, 2024)

How Can LLM Guide RL? A Value-Based Approach. - Shenao Zhang; Sirui Zheng; Shuqi Ke; Zhihan Liu; Wanxin Jin; Jianbo Yuan; Yingxiang Yang; Hongxia Yang; Zhaoran Wang 001 (CoRR, 2024)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. - Shenao Zhang; Donghan Yu; Hiteshi Sharma; Ziyi Yang; Shuohang Wang; Hany Hassan; Zhaoran Wang 001 (CoRR, 2024)

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. - Shenao Zhang; Zhihan Liu; Boyi Liu 001; Yufeng Zhang 007; Yingxiang Yang; Yongfei Liu; Liyu Chen; Tao Sun; Zhaoran Wang 001 (CoRR, 2024)

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs. - Zhihan Liu; Shenao Zhang; Zhaoran Wang 001 (CoRR, 2024)

Offline Reinforcement Learning for LLM Multi-Step Reasoning. - Huaijie Wang; Shibo Hao; Hanze Dong; Shenao Zhang; Yilin Bao; Ziran Yang; Yi Wu (CoRR, 2024)

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following. - Yuxiao Yang; Shenao Zhang; Zhihan Liu; Huaxiu Yao; Zhaoran Wang 001 (CoRR, 2024)

Offline Reinforcement Learning for LLM Multi-step Reasoning. - Huaijie Wang; Shibo Hao; Hanze Dong; Shenao Zhang; Yilin Bao; Ziran Yang; Yi Wu 013 (ACL (Findings), 2025)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. - Shenao Zhang; Donghan Yu; Hiteshi Sharma; Han Zhong 001; Zhihan Liu; Ziyi Yang; Shuohang Wang; Hany Hassan Awadalla; Zhaoran Wang 001 (Trans. Mach. Learn. Res., 2025)

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. - Han Zhong 001; Yutong Yin; Shenao Zhang; Xiaojun Xu; Yuanxin Liu; Yifei Zuo; Zhihan Liu; Boyi Liu 001; Sirui Zheng; Hongyi Guo; Liwei Wang 001; Mingyi Hong 001; et al. (CoRR, 2025)

Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning. - Shenao Zhang; Yaqing Wang; Yinxiao Liu; Tianqi Liu; Peter Grabowski; Eugene Ie; Zhaoran Wang 001; Yunxuan Li (CoRR, 2025)