Linxi Fan

65 papers A* 13A 2Misc 4Journal 42Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data.
CoRR
Ruijie Zheng, Dantong Niu, Yuqi Xie, Jing Wang, Mengda Xu, Yunfan Jiang, Fernando Castañeda, Fengyuan Hu, You Liang Tan, Letian Fu, Trevor Darrell, Furong Huang, Yuke Zhu, Danfei Xu, Linxi Fan
2025 J jnl
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills.
CoRR
Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi
2025 J jnl
DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation.
CoRR
Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song
2025 J jnl
DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories.
CoRR
Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loic Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan
2025 J jnl
Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning.
CoRR
Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu
2025 J jnl
FLARE: Robot Learning with Implicit World Modeling.
CoRR
Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loic Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan
2025 J jnl
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
CoRR
Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, Linxi Fan, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, Joel Jang, Zhenyu Jiang, Jan Kautz, Kaushil Kundalia, Lawrence Lao, Zhiqi Li, Zongyu Lin, Kevin Lin, Guilin Liu, Edith LLontop, Loic Magne, Ajay Mandlekar, Avnish Narayan, Soroush Nasiriany, Scott Reed, You Liang Tan, Guanzhi Wang, Zu Wang, Jing Wang, Qi Wang, Jiannan Xiang, Yuqi Xie, Yinzhen Xu, Zhenjia Xu, Seonghyeon Ye, Zhiding Yu, Ao Zhang, Hao Zhang, Yizhou Zhao, Ruijie Zheng, Yuke Zhu
2025 A* conf
LongVILA: Scaling Long-Context Visual Language Models for Long Videos.
ICLR
Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han
2025 A* conf
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.
ICML
Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2025 J jnl
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation.
CoRR
Yue Zhao, Fuzhao Xue, Scott Reed, Linxi Fan, Yuke Zhu, Jan Kautz, Zhiding Yu, Philipp Krähenbühl, De-An Huang
2025 J jnl
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning.
CoRR
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu
2025 J jnl
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation.
CoRR
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen, Soroush Nasiriany, Yuqi Xie, Yu Fang, Wenqi Huang, Zu Wang, Zhenjia Xu, Nikita Chernyadev, Scott Reed, Ken Goldberg, Ajay Mandlekar, Linxi Fan, Yuke Zhu
2025 J jnl
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids.
CoRR
Toru Lin, Kartik Sachdev, Linxi Fan, Jitendra Malik, Yuke Zhu
2025 J jnl
VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation.
CoRR
Tairan He, Zi Wang, Haoru Xue, Qingwei Ben, Zhengyi Luo, Wenli Xiao, Ye Yuan, Xingye Da, Fernando Castañeda, Shankar Sastry, Changliu Liu, Guanya Shi, Linxi Fan, Yuke Zhu
2025 J jnl
Wolf: Dense Video Captioning with a World Summarization Framework.
Trans. Mach. Learn. Res.
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
2024 A* conf
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents.
ICLR
Jake Grigsby, Linxi Fan, Yuke Zhu
2024 A conf
ARDuP: Active Region Video Diffusion for Universal Policies.
IROS
Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava
2024 J jnl
ARDuP: Active Region Video Diffusion for Universal Policies.
CoRR
Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava
2024 J jnl
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning.
CoRR
Zhenyu Jiang, Yuqi Xie, Kevin Lin, Zhenjia Xu, Weikang Wan, Ajay Mandlekar, Linxi Fan, Yuke Zhu
2024 — conf
DrEureka: Language Model Guided Sim-To-Real Transfer.
Robotics: Science and Systems
Yecheng Jason Ma, William Liang, Hung-Ju Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman
2024 J jnl
DrEureka: Language Model Guided Sim-To-Real Transfer.
CoRR
Yecheng Jason Ma, William Liang, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman
2024 A* conf
Eureka: Human-Level Reward Design via Coding Large Language Models.
ICLR
Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar
2024 J jnl
HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.
CoRR
Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Fan, Yuke Zhu
2024 J jnl
LongVILA: Scaling Long-Context Visual Language Models for Long Videos.
CoRR
Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han
2024 J jnl
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.
CoRR
Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2024 J jnl
Prismer: A Vision-Language Model with Multi-Task Experts.
Trans. Mach. Learn. Res.
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
2024 J jnl
Voyager: An Open-Ended Embodied Agent with Large Language Models.
Trans. Mach. Learn. Res.
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar
2023 J jnl
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents.
CoRR
Jake Grigsby, Linxi Fan, Yuke Zhu
2023 A* conf
Cross-Episodic Curriculum for Transformer Agents.
NeurIPS
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu
2023 J jnl
Eureka: Human-Level Reward Design via Coding Large Language Models.
CoRR
Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar
2023 Misc conf
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.
CoRL
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj Narang, Linxi Fan, Yuke Zhu, Dieter Fox
2023 J jnl
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.
CoRR
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj Narang, Linxi Fan, Yuke Zhu, Dieter Fox
2023 Misc conf
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.
CoRL
Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar
2023 J jnl
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.
CoRR
Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar
2023 J jnl
Prismer: A Vision-Language Model with An Ensemble of Experts.
CoRR
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
2023 — conf
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
EMNLP (Findings)
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, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
2023 J jnl
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
CoRR
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, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
2023 A* conf
VIMA: Robot Manipulation with Multimodal Prompts.
ICML
Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan
2023 J jnl
Voyager: An Open-Ended Embodied Agent with Large Language Models.
CoRR
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar
2022 A* conf
MetaMorph: Learning Universal Controllers with Transformers.
ICLR
Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei
2022 J jnl
MetaMorph: Learning Universal Controllers with Transformers.
CoRR
Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei
2022 A* conf
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge.
NeurIPS
Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar
2022 J jnl
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge.
CoRR
Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar
2022 A* conf
Pre-Trained Language Models for Interactive Decision-Making.
NeurIPS
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, Antonio Torralba, Yuke Zhu
2022 J jnl
Pre-Trained Language Models for Interactive Decision-Making.
CoRR
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, Antonio Torralba, Yuke Zhu
2022 J jnl
VIMA: General Robot Manipulation with Multimodal Prompts.
CoRR
Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan
2021 A* conf
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies.
ICML
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar
2021 J jnl
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies.
CoRR
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar
2021 — —
Training and deploying visual agents at scale.
Linxi Fan
2021 A conf
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes.
IROS
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, Josiah Wong, Li Fei-Fei, Silvio Savarese
2020 — conf
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition.
ECCV (19)
Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei
2020 J jnl
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes.
CoRR
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, Li Fei-Fei, Silvio Savarese
2019 J jnl
Kernel Approximation Methods for Speech Recognition.
J. Mach. Learn. Res.
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
2019 J jnl
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning.
CoRR
Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei
2018 Misc conf
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark.
CoRL
Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei
2017 J jnl
Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection.
Comput. Chem. Eng.
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
2017 J jnl
Kernel Approximation Methods for Speech Recognition.
CoRR
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
2017 A* conf
World of Bits: An Open-Domain Platform for Web-Based Agents.
ICML
Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang
2016 J jnl
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition.
CoRR
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016 Misc conf
A comparison between deep neural nets and kernel acoustic models for speech recognition.
ICASSP
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016 A* conf
Deconstructing the Ladder Network Architecture.
ICML
Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio
2016 A* conf
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.
ICML
Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu
2015 J jnl
Deconstructing the Ladder Network Architecture.
CoRR
Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio
2015 J jnl
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR
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, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
2014 J jnl
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.
CoRR
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha