Learning to Draw Samples with Amortized Stein Variational Gradient Descent. - Yihao Feng; Dilin Wang; Qiang Liu 001 (UAI, 2017)

Sample-efficient Policy Optimization with Stein Control Variate. - Hao Liu; Yihao Feng; Yi Mao; Dengyong Zhou; Jian Peng 001; Qiang Liu 001 (CoRR, 2017)

ARShop: A Cloud-based Augmented Reality System for Shopping. - Chao Wang; Yihao Feng; Qi Guo; Zhaoxian Li; Kexin Liu; Zijian Tang; Anthony K. H. Tung; Lifu Wu; Yuxin Zheng (Proc. VLDB Endow., 2017)

Action-dependent Control Variates for Policy Optimization via Stein Identity. - Hao Liu; Yihao Feng; Yi Mao; Dengyong Zhou; Jian Peng 001; Qiang Liu 001 (ICLR (Poster), 2018)

Knowledge-guided Semantic Computing Network. - Guangming Shi; Zhongqiang Zhang; Dahua Gao; Xuemei Xie; Yihao Feng; Xinrui Ma; Danhua Liu (CoRR, 2018)

A Kernel Loss for Solving the Bellman Equation. - Yihao Feng; Lihong Li 001; Qiang Liu 001 (NeurIPS, 2019)

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. - Ziyang Tang; Yihao Feng; Lihong Li 001; Dengyong Zhou; Qiang Liu 001 (ICLR, 2020)

Accountable Off-Policy Evaluation With Kernel Bellman Statistics. - Yihao Feng; Tongzheng Ren; Ziyang Tang; Qiang Liu 001 (ICML, 2020)

Off-Policy Interval Estimation with Lipschitz Value Iteration. - Ziyang Tang; Yihao Feng; Na Zhang; Jian Peng 001; Qiang Liu 001 (NeurIPS, 2020)

Unsupervised Out-of-Domain Detection via Pre-trained Transformers. - Keyang Xu; Tongzheng Ren; Shikun Zhang; Yihao Feng; Caiming Xiong (ACL/IJCNLP (1), 2021)

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. - Yihao Feng; Ziyang Tang; Na Zhang; Qiang Liu 001 (ICLR, 2021)

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. - Congying Xia; Wenpeng Yin 001; Yihao Feng; Philip S. Yu (NAACL-HLT, 2021)

Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. - Shentao Yang; Yihao Feng; Shujian Zhang; Mingyuan Zhou (ICML, 2022)

A Unified Framework for Alternating Offline Model Training and Policy Learning. - Shentao Yang; Shujian Zhang; Yihao Feng; Mingyuan Zhou (NeurIPS, 2022)

Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. - Ziyang Tang; Yihao Feng; Qiang Liu 001 (CoRR, 2022)

A Regularized Implicit Policy for Offline Reinforcement Learning. - Shentao Yang; Zhendong Wang; Huangjie Zheng; Yihao Feng; Mingyuan Zhou (CoRR, 2022)

Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. - Bo Liu 042; Yihao Feng; Qiang Liu 001; Peter Stone 001 (CoRR, 2022)

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. - Bo Liu 042; Yihao Feng; Qiang Liu 001; Peter Stone 001 (AAAI, 2023)

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. - Yihao Feng; Shentao Yang; Shujian Zhang; Jianguo Zhang 005; Caiming Xiong; Mingyuan Zhou; Huan Wang 014 (ICLR, 2023)

FAMO: Fast Adaptive Multitask Optimization. - Bo Liu 042; Yihao Feng; Peter Stone 001; Qiang Liu 001 (NeurIPS, 2023)

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. - Bo Liu 042; Yifeng Zhu; Chongkai Gao; Yihao Feng; Qiang Liu 001; Yuke Zhu; Peter Stone 001 (NeurIPS, 2023)

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. - Can Qin; Shu Zhang 007; Ning Yu 006; Yihao Feng; Xinyi Yang 002; Yingbo Zhou; Huan Wang 014; Juan Carlos Niebles; Caiming Xiong; Silvio Savarese; Stefano Ermon; Yun Fu 001; et al. (NeurIPS, 2023)

Preference-grounded Token-level Guidance for Language Model Fine-tuning. - Shentao Yang; Shujian Zhang; Congying Xia; Yihao Feng; Caiming Xiong; Mingyuan Zhou (NeurIPS, 2023)

REX: Rapid Exploration and eXploitation for AI Agents. - Rithesh Murthy; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Le Xue; Weiran Yao; Yihao Feng; Zeyuan Chen 001; Akash Gokul; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. - Weiran Yao; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Yihao Feng; Le Xue; Rithesh Murthy; Zeyuan Chen 001; Jianguo Zhang 005; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Le Xue; Shelby Heinecke; Rithesh Murthy; Yihao Feng; Zeyuan Chen 001; Juan Carlos Niebles; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. - Congying Xia; Chen Xing; Jiangshu Du; Xinyi Yang 002; Yihao Feng; Ran Xu 001; Wenpeng Yin 001; Caiming Xiong (ACL (1), 2024)

HIVE: Harnessing Human Feedback for Instructional Visual Editing. - Shu Zhang 007; Xinyi Yang 002; Yihao Feng; Can Qin; Chia-Chih Chen; Ning Yu 006; Zeyuan Chen 001; Huan Wang 014; Silvio Savarese; Stefano Ermon; Caiming Xiong; Ran Xu 001 (CVPR, 2024)

xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. - Can Qin; Congying Xia; Krithika Ramakrishnan; Michael S. Ryoo; Lifu Tu; Yihao Feng; Manli Shu; Honglu Zhou; Anas Awadalla; Jun Wang 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service. - Jieyi Zhang; Cenying Yang; Yihao Feng (HICSS, 2024)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. - Weiran Yao; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Yihao Feng; Le Xue; Rithesh R. N.; Zeyuan Chen 001; Jianguo Zhang 005; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (ICLR, 2024)

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang; Ming Zhu; Tian Lan; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh R. N.; Liangwei Yang; et al. (NeurIPS, 2024)

Text2Data: Low-Resource Data Generation with Textual Control. - Shiyu Wang; Yihao Feng; Tian Lan 006; Ning Yu 006; Yu Bai 017; Ran Xu 001; Huan Wang 014; Caiming Xiong; Silvio Savarese (CoRR, 2024)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. - Jianguo Zhang 005; Tian Lan 006; Rithesh Murthy; Zhiwei Liu 001; Weiran Yao; Juntao Tan; Thai Hoang; Liangwei Yang; Yihao Feng; Zuxin Liu; Tulika Manoj Awalgaonkar; Juan Carlos Niebles; et al. (CoRR, 2024)

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang 005; Ming Zhu; Tian Lan 006; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh Murthy; Liangwei Yang; et al. (CoRR, 2024)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh Murthy; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (CoRR, 2024)

xLAM: A Family of Large Action Models to Empower AI Agent Systems. - Jianguo Zhang 005; Tian Lan 006; Ming Zhu; Zuxin Liu; Thai Hoang; Shirley Kokane; Weiran Yao; Juntao Tan; Akshara Prabhakar; Haolin Chen; Zhiwei Liu 001; Yihao Feng; et al. (CoRR, 2024)

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding. - Haolin Chen; Yihao Feng; Zuxin Liu; Weiran Yao; Akshara Prabhakar; Shelby Heinecke; Ricky Ho; Phil Mui; Silvio Savarese; Caiming Xiong; Huan Wang 014 (CoRR, 2024)

Text2Data: Low-Resource Data Generation with Textual Control. - Shiyu Wang; Yihao Feng; Tian Lan 006; Ning Yu 006; Yu Bai 017; Ran Xu 001; Huan Wang 016; Caiming Xiong; Silvio Savarese (AAAI, 2025)

Longhorn: State Space Models are Amortized Online Learners. - Bo Liu 042; Rui Wang; Lemeng Wu; Yihao Feng; Peter Stone 001; Qiang Liu 001 (ICLR, 2025)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh R. N.; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (ICLR, 2025)

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. - Ruohong Zhang; Liangke Gui; Zhiqing Sun; Yihao Feng; Keyang Xu; Yuanhan Zhang; Di Fu; Chunyuan Li; Alexander G. Hauptmann; Yonatan Bisk; Yiming Yang (NAACL (Long Papers), 2025)

xLAM: A Family of Large Action Models to Empower AI Agent Systems. - Jianguo Zhang; Tian Lan 006; Ming Zhu; Zuxin Liu; Thai Hoang; Shirley Kokane; Weiran Yao; Juntao Tan; Akshara Prabhakar; Haolin Chen; Zhiwei Liu 001; Yihao Feng; et al. (NAACL (Long Papers), 2025)