ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills - Tairan He; Jiawei Gao; Wenli Xiao; Yuanhang Zhang; Zi Wang; Jiashun Wang; Zhengyi Luo; Guanqi He; Nikhil Sobanbab; Chaoyi Pan; Zeji Yi; Guannan Qu; et al. (CoRR, 2025)

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation - Yue Zhao; Fuzhao Xue; Scott Reed; Linxi Fan; Yuke Zhu; Jan Kautz; Zhiding Yu; Philipp Krähenbühl; De-An Huang (CoRR, 2025)

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids - Toru Lin; Kartik Sachdev; Linxi Fan; Jitendra Malik; Yuke Zhu (CoRR, 2025)

Prismer: A Vision-Language Model with Multi-Task Experts - Shikun Liu; Linxi Fan; Edward Johns; Zhiding Yu; Chaowei Xiao; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

Voyager: An Open-Ended Embodied Agent with Large Language Models - Guanzhi Wang; Yuqi Xie; Yunfan Jiang; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents - Jake Grigsby; Linxi Fan; Yuke Zhu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Eureka: Human-Level Reward Design via Coding Large Language Models - Yecheng Jason Ma; William Liang; Guanzhi Wang; De-An Huang; Osbert Bastani; Dinesh Jayaraman; Yuke Zhu; Linxi Fan; Anima Anandkumar (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

ARDuP: Active Region Video Diffusion for Universal Policies - Shuaiyi Huang; Mara Levy; Zhenyu Jiang; Anima Anandkumar; Yuke Zhu; Linxi Fan; De-An Huang; Abhinav Shrivastava (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (Robotics: Science and Systems XX, Delft, The Netherlands, July 15-19, 2024, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Sam Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (CoRR, 2024)

ARDuP: Active Region Video Diffusion for Universal Policies - Shuaiyi Huang; Mara Levy; Zhenyu Jiang; Anima Anandkumar; Yuke Zhu; Linxi Fan; De-An Huang; Abhinav Shrivastava (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots - Tairan He; Wenli Xiao; Toru Lin; Zhengyi Luo; Zhenjia Xu; Zhenyu Jiang; Jan Kautz; Changliu Liu; Guanya Shi; Xiaolong Wang; Linxi Fan; Yuke Zhu (CoRR, 2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation - Zhendong Wang; Zhaoshuo Li; Ajay Mandlekar; Zhenjia Xu; Jiaojiao Fan; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Yogesh Balaji; Mingyuan Zhou; Ming-Yu Liu; Yu Zeng (CoRR, 2024)

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning - Zhenyu Jiang; Yuqi Xie; Kevin Lin; Zhenjia Xu; Weikang Wan; Ajay Mandlekar; Linxi Fan; Yuke Zhu (CoRR, 2024)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play - Chen Wang; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei; Danfei Xu; Yuke Zhu; Anima Anandkumar (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations - Ajay Mandlekar; Soroush Nasiriany; Bowen Wen; Iretiayo Akinola; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Dieter Fox (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning - Zhuolin Yang; Wei Ping; Zihan Liu; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li; Mohammad Shoeybi; Ming-Yu Liu; et al. (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

VIMA: Robot Manipulation with Multimodal Prompts - Yunfan Jiang; Agrim Gupta; Zichen Zhang; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei; Anima Anandkumar; Yuke Zhu; Linxi Fan (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Cross-Episodic Curriculum for Transformer Agents - Lucy Xiaoyang Shi; Yunfan Jiang; Jake Grigsby; Linxi Fan; Yuke Zhu (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning - Zhuolin Yang; Wei Ping; Zihan Liu; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li; Ming-Yu Liu; Yuke Zhu; et al. (CoRR, 2023)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play - Chen Wang; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei; Danfei Xu; Yuke Zhu; Anima Anandkumar (CoRR, 2023)

Prismer: A Vision-Language Model with An Ensemble of Experts - Shikun Liu; Linxi Fan; Edward Johns; Zhiding Yu; Chaowei Xiao; Anima Anandkumar (CoRR, 2023)

Voyager: An Open-Ended Embodied Agent with Large Language Models - Guanzhi Wang; Yuqi Xie; Yunfan Jiang; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (CoRR, 2023)

Cross-Episodic Curriculum for Transformer Agents - Lucy Xiaoyang Shi; Yunfan Jiang; Jake Grigsby; Linxi Jim Fan; Yuke Zhu (CoRR, 2023)

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents - Jake Grigsby; Linxi Fan; Yuke Zhu (CoRR, 2023)

Eureka: Human-Level Reward Design via Coding Large Language Models - Yecheng Jason Ma; William Liang; Guanzhi Wang; De-An Huang; Osbert Bastani; Dinesh Jayaraman; Yuke Zhu; Linxi Fan; Anima Anandkumar (CoRR, 2023)

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations - Ajay Mandlekar; Soroush Nasiriany; Bowen Wen; Iretiayo Akinola; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Dieter Fox (CoRR, 2023)

MetaMorph: Learning Universal Controllers with Transformers - Agrim Gupta; Linxi Fan; Surya Ganguli; Li Fei-Fei (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge - Linxi Fan; Guanzhi Wang; Yunfan Jiang; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Pre-Trained Language Models for Interactive Decision-Making - Shuang Li; Xavier Puig; Chris Paxton; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Pre-Trained Language Models for Interactive Decision-Making - Shuang Li; Xavier Puig; Chris Paxton; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (CoRR, 2022)

MetaMorph: Learning Universal Controllers with Transformers - Agrim Gupta; Linxi Fan; Surya Ganguli; Li Fei-Fei (CoRR, 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge - Linxi Fan; Guanzhi Wang; Yunfan Jiang; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (CoRR, 2022)

VIMA: General Robot Manipulation with Multimodal Prompts - Yunfan Jiang; Agrim Gupta; Zichen Zhang; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei; Anima Anandkumar; Yuke Zhu; Linxi Fan (CoRR, 2022)

Training and deploying visual agents at scale - Linxi Fan (Stanford University, USA, 2021)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei; Yuke Zhu; Animashree Anandkumar (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes - Bokui Shen; Fei Xia; Chengshu Li; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021, 2021)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei; Yuke Zhu; Anima Anandkumar (CoRR, 2021)

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition - Linxi Fan; Shyamal Buch; Guanzhi Wang; Ryan Cao; Yuke Zhu; Juan Carlos Niebles; Li Fei-Fei (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIX, 2020)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes - Bokui Shen; Fei Xia; Chengshu Li; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

Kernel Approximation Methods for Speech Recognition - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins; Daniel Hsu; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei (CoRR, 2019)

SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei (2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings, 2018)

Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection - Miguel Francisco M. Remolona; Matthew F. Conway; Sriram Balasubramanian; Linxi Fan; Ziyan Feng; Tianhao Gu; Hyungtae Kim; Prasad M. Nirantar; Sarah Panda; Nithin R. Ranabothu; Neha Rastogi; Venkat Venkatasubramanian (Comput. Chem. Eng., 2017)

World of Bits: An Open-Domain Platform for Web-Based Agents - Tianlin Shi; Andrej Karpathy; Linxi Fan; Jonathan Hernandez; Percy Liang (Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017)

Kernel Approximation Methods for Speech Recognition - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins; Daniel J. Hsu; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2017)

A comparison between deep neural nets and kernel acoustic models for speech recognition - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins; Brian Kingsbury; Michael Picheny; Fei Sha (2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016, 2016)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates; Greg Diamos; et al. (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Deconstructing the Ladder Network Architecture - Mohammad Pezeshki; Linxi Fan; Philemon Brakel; Aaron C. Courville; Yoshua Bengio (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2016)

Deconstructing the Ladder Network Architecture - Mohammad Pezeshki; Linxi Fan; Philemon Brakel; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets - Zhiyun Lu; Avner May; Kuan Liu; Alireza Bagheri Garakani; Dong Guo; Aurélien Bellet; Linxi Fan; Michael Collins; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)