Yihao Feng - RankMe

64 papers A* 19A 1Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning. CoRR Xinyu Zhu, Yihao Feng, Yanchao Sun, Xianzhi Du, Pingzhi Li, Olli Saarikivi, Yun Zhu, Yu Meng
2025	—	`conf`	Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. NAACL (Long Papers) Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang
2025	A*	`conf`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. ICLR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2025	J	`jnl`	Learning to Reason as Action Abstractions with Scalable Mid-Training RL. CoRR Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang
2025	A*	`conf`	Longhorn: State Space Models are Amortized Online Learners. ICLR Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
2025	A*	`conf`	Text2Data: Low-Resource Data Generation with Textual Control. AAAI Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
2025	—	`conf`	xLAM: A Family of Large Action Models to Empower AI Agent Systems. NAACL (Long Papers) Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2024	A*	`conf`	APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. NeurIPS Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh R. N., Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
2024	J	`jnl`	APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
2024	J	`jnl`	AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
2024	—	`conf`	Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service. HICSS Jieyi Zhang, Cenying Yang, Yihao Feng
2024	J	`jnl`	Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang
2024	J	`jnl`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2024	—	`conf`	FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
2024	J	`jnl`	FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
2024	A*	`conf`	HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
2024	J	`jnl`	Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding. CoRR Haolin Chen, Yihao Feng, Zuxin Liu, Weiran Yao, Akshara Prabhakar, Shelby Heinecke, Ricky Ho, Phil Mui, Silvio Savarese, Caiming Xiong, Huan Wang
2024	J	`jnl`	Longhorn: State Space Models are Amortized Online Learners. CoRR Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
2024	A*	`conf`	Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	Text2Data: Low-Resource Data Generation with Textual Control. CoRR Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
2024	—	`conf`	xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2023	A*	`conf`	FAMO: Fast Adaptive Multitask Optimization. NeurIPS Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
2023	J	`jnl`	FAMO: Fast Adaptive Multitask Optimization. CoRR Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
2023	A*	`conf`	Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
2023	J	`jnl`	Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
2023	J	`jnl`	HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
2023	A*	`conf`	LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. NeurIPS Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
2023	J	`jnl`	LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. CoRR Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
2023	A*	`conf`	Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. AAAI Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
2023	A*	`conf`	Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
2023	J	`jnl`	Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
2023	J	`jnl`	REX: Rapid Exploration and eXploitation for AI Agents. CoRR Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2023	J	`jnl`	Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2023	A*	`conf`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	J	`jnl`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2022	J	`jnl`	A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou
2022	A*	`conf`	A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
2022	J	`jnl`	A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
2022	J	`jnl`	Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. CoRR Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
2022	J	`jnl`	Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. CoRR Ziyang Tang, Yihao Feng, Qiang Liu
2022	A*	`conf`	Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
2022	J	`jnl`	Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
2021	—	`conf`	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL-HLT Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021	J	`jnl`	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. CoRR Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021	A*	`conf`	Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. ICLR Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu
2021	J	`jnl`	Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. CoRR Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu
2021	—	`conf`	Unsupervised Out-of-Domain Detection via Pre-trained Transformers. ACL/IJCNLP (1) Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
2021	J	`jnl`	Unsupervised Out-of-Domain Detection via Pre-trained Transformers. CoRR Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
2020	A*	`conf`	Accountable Off-Policy Evaluation With Kernel Bellman Statistics. ICML Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
2020	J	`jnl`	Accountable Off-Policy Evaluation With Kernel Bellman Statistics. CoRR Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
2020	A*	`conf`	Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. ICLR Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
2020	A*	`conf`	Off-Policy Interval Estimation with Lipschitz Value Iteration. NeurIPS Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
2020	J	`jnl`	Off-Policy Interval Estimation with Lipschitz Value Iteration. CoRR Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu
2019	A*	`conf`	A Kernel Loss for Solving the Bellman Equation. NeurIPS Yihao Feng, Lihong Li, Qiang Liu
2019	J	`jnl`	A Kernel Loss for Solving the Bellman Equation. CoRR Yihao Feng, Lihong Li, Qiang Liu
2019	J	`jnl`	Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. CoRR Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
2018	—	`conf`	Action-dependent Control Variates for Policy Optimization via Stein Identity. ICLR (Poster) Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
2018	J	`jnl`	Knowledge-guided Semantic Computing Network. CoRR Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu
2017	J	`jnl`	ARShop: A Cloud-based Augmented Reality System for Shopping. Proc. VLDB Endow. Chao Wang, Yihao Feng, Qi Guo, Zhaoxian Li, Kexin Liu, Zijian Tang, Anthony K. H. Tung, Lifu Wu, Yuxin Zheng
2017	A	`conf`	Learning to Draw Samples with Amortized Stein Variational Gradient Descent. UAI Yihao Feng, Dilin Wang, Qiang Liu
2017	J	`jnl`	Sample-efficient Policy Optimization with Stein Control Variate. CoRR Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu