Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning. - Xiangyu Kong; Bo Xin; Fangchen Liu; Yizhou Wang 001 (CoRR, 2017)

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. - Fisher Yu 001; Wenqi Xian; Yingying Chen; Fangchen Liu; Mike Liao; Vashisht Madhavan; Trevor Darrell (CoRR, 2018)

Adversarial Defense by Stratified Convolutional Sparse Coding. - Bo Sun; Nian-Hsuan Tsai; Fangchen Liu; Ronald Yu; Hao Su 001 (CVPR, 2019)

Mapping State Space using Landmarks for Universal Goal Reaching. - Zhiao Huang; Fangchen Liu; Hao Su 001 (NeurIPS, 2019)

Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition. - Zhenjun Li; Chunyu Zhao; Zechen Lu; Fangchen Liu (IEEE Access, 2019)

Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors. - Zhenjun Li; Zechen Lu; Chunyu Zhao; Fangchen Liu; Ye Chen (Sensors, 2019)

SAPIEN: A SimulAted Part-Based Interactive ENvironment. - Fanbo Xiang; Yuzhe Qin; Kaichun Mo; Yikuan Xia; Hao Zhu 008; Fangchen Liu; Minghua Liu; Hanxiao Jiang 001; Yifu Yuan; He Wang 010; Li Yi 001; Angel X. Chang; et al. (CVPR, 2020)

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. - Fisher Yu 001; Haofeng Chen; Xin Wang 066; Wenqi Xian; Yingying Chen; Fangchen Liu; Vashisht Madhavan; Trevor Darrell (CVPR, 2020)

State Alignment-based Imitation Learning. - Fangchen Liu; Zhan Ling; Tongzhou Mu; Hao Su 001 (ICLR, 2020)

Masked World Models for Visual Control. - Younggyo Seo; Danijar Hafner; Hao Liu 055; Fangchen Liu; Stephen James; Kimin Lee; Pieter Abbeel (CoRL, 2022)

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. - Younggyo Seo; Kimin Lee; Fangchen Liu; Stephen James; Pieter Abbeel (ICIP, 2022)

Towards More Generalizable One-shot Visual Imitation Learning. - Mandi Zhao; Fangchen Liu; Kimin Lee; Pieter Abbeel (ICRA, 2022)

Masked Autoencoding for Scalable and Generalizable Decision Making. - Fangchen Liu; Hao Liu 055; Aditya Grover; Pieter Abbeel (NeurIPS, 2022)

The Wisdom of Hindsight Makes Language Models Better Instruction Followers. - Tianjun Zhang; Fangchen Liu; Justin Wong; Pieter Abbeel; Joseph E. Gonzalez (ICML, 2023)

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks. - Xingyu Lin; John So; Sashwat Mahalingam; Fangchen Liu; Pieter Abbeel (CoRR, 2023)

Body Transformer: Leveraging Robot Embodiment for Policy Learning. - Carmelo Sferrazza; Dun-Ming Huang; Fangchen Liu; Jongmin Lee 004; Pieter Abbeel (CoRL, 2024)

Chain-of-Thought Predictive Control. - Zhiwei Jia; Vineet Thumuluri; Fangchen Liu; Linghao Chen; Zhiao Huang; Hao Su 001 (ICML, 2024)

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Network. - Xingyu Lin; John So; Sashwat Mahalingam; Fangchen Liu; Pieter Abbeel (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting. - Kuan Fang; Fangchen Liu; Pieter Abbeel; Sergey Levine (Robotics: Science and Systems, 2024)

MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting. - Fangchen Liu; Kuan Fang; Pieter Abbeel; Sergey Levine (CoRR, 2024)

In-Context Imitation Learning via Next-Token Prediction. - Letian Fu; Huang Huang; Gaurav Datta; Lawrence Yunliang Chen; William Chung-Ho Panitch; Fangchen Liu; Hui Li; Ken Goldberg (CoRR, 2024)

ExBody2: Advanced Expressive Humanoid Whole-Body Control. - Mazeyu Ji; Xuanbin Peng; Fangchen Liu; Jialong Li 003; Ge Yang; Xuxin Cheng; Xiaolong Wang 004 (CoRR, 2024)

FMB: A functional manipulation benchmark for generalizable robotic learning. - Jianlan Luo; Charles Xu 003; Fangchen Liu; Liam Tan; Zipeng Lin; Jeffrey Wu; Pieter Abbeel; Sergey Levine (Int. J. Robotics Res., 2025)

Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos. - Weirui Ye; Fangchen Liu; Zheng Ding; Yang Gao 029; Oleh Rybkin; Pieter Abbeel (CoRR, 2025)

OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction. - Huang Huang; Fangchen Liu; Letian Fu; Tingfan Wu; Mustafa Mukadam; Jitendra Malik; Ken Goldberg; Pieter Abbeel (CoRR, 2025)

ViTaMIn: Learning Contact-Rich Tasks Through Robot-Free Visuo-Tactile Manipulation Interface. - Fangchen Liu; Chuanyu Li; Yihua Qin; Ankit Shaw; Jing Xu; Pieter Abbeel; Rui Chen (CoRR, 2025)