Yihao Feng

According to our database, Yihao Feng authored at least 43 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

xLAM: A Family of Large Action Models to Empower AI Agent Systems.

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Longhorn: State Space Models are Amortized Online Learners.

Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Text2Data: Low-Resource Data Generation with Textual Control.

Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

CoRR, 2024

xLAM: A Family of Large Action Models to Empower AI Agent Systems.

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

CoRR, 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

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

CoRR, 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, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong

CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.

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

CoRR, 2024

Text2Data: Low-Resource Data Generation with Textual Control.

Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

CoRR, 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, Yihao Feng, Rithesh R. N., Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service.

Jieyi Zhang, Cenying Yang, Yihao Feng

Proceedings of the 57th Hawaii International Conference on System Sciences, 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, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

HIVE: Harnessing Human Feedback for Instructional Visual Editing.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability.

Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.

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

CoRR, 2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.

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

CoRR, 2023

REX: Rapid Exploration and eXploitation for AI Agents.

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

CoRR, 2023

Preference-grounded Token-level Guidance for Language Model Fine-tuning.

Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FAMO: Fast Adaptive Multitask Optimization.

Bo Liu, Yihao Feng, Peter Stone, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Caiming Xiong, Mingyuan Zhou, Huan Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning.

Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning.

Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

CoRR, 2022

A Regularized Implicit Policy for Offline Reinforcement Learning.

Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou

CoRR, 2022

Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning.

Ziyang Tang, Yihao Feng, Qiang Liu

CoRR, 2022

A Unified Framework for Alternating Offline Model Training and Policy Learning.

Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning.

Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

2021

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.

Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds.

Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Out-of-Domain Detection via Pre-trained Transformers.

Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Off-Policy Interval Estimation with Lipschitz Value Iteration.

Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Accountable Off-Policy Evaluation With Kernel Bellman Statistics.

Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation.

Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Kernel Loss for Solving the Bellman Equation.

Yihao Feng, Lihong Li, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Knowledge-guided Semantic Computing Network.

Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu

CoRR, 2018

Action-dependent Control Variates for Policy Optimization via Stein Identity.

Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

Proceedings of the 6th International Conference on Learning Representations, 2018

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

Sample-efficient Policy Optimization with Stein Control Variate.

Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

CoRR, 2017

Learning to Draw Samples with Amortized Stein Variational Gradient Descent.

Yihao Feng, Dilin Wang, Qiang Liu

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017