Fang, Kuan

15 publications

NeurIPS 2025 Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers, Bill Zheng, Anca Dragan, Kuan Fang, Sergey Levine

CoRL 2025 Versatile Loco-Manipulation Through Flexible Interlimb Coordination Xinghao Zhu, Yuxin Chen, Lingfeng Sun, Farzad Niroui, Simon Le Cleac’h, Jiuguang Wang, Kuan Fang

CoRL 2024 Jacta: A Versatile Planner for Learning Dexterous and Whole-Body Manipulation Jan Bruedigam, Ali Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Georg Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac’h

CoRL 2024 Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation Vivek Myers, Chunyuan Zheng, Oier Mees, Kuan Fang, Sergey Levine

ICLR 2024 Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine

CoRL 2023 BridgeData V2: A Dataset for Robot Learning at Scale Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine

CoRL 2023 Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca Dragan, Sergey Levine

NeurIPSW 2023 Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine

NeurIPSW 2023 Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine

CoRL 2022 Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang, Patrick Yin, Ashvin Nair, Homer Rich Walke, Gengchen Yan, Sergey Levine

ICLRW 2022 Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine

ICLR 2021 Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang, Yuke Zhu, Silvio Savarese, L. Fei-Fei

CoRL 2019 Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei

WACV 2018 Recurrent Autoregressive Networks for Online Multi-Object Tracking Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese

CVPR 2016 DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese