FastLanes: An FPGA accelerated GPU microarchitecture simulator. - Kuan Fang; Yufei Ni; Jiayuan He 005; Zonghui Li; Shuai Mu 002; Yangdong Deng (ICCD, 2013)

RadixBoost: A hardware acceleration structure for scalable radix sort on graphic processors. - Xingyu Liu; Shikai Li; Kuan Fang; Yufei Ni; Zonghui Li; Yangdong Deng (ISCAS, 2015)

DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes. - Saumitro Dasgupta; Kuan Fang; Kevin Chen 001; Silvio Savarese (CVPR, 2016)

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. - Kuan Fang; Yunfei Bai; Stefan Hinterstoisser; Mrinal Kalakrishnan (CoRR, 2017)

Recurrent Autoregressive Networks for Online Multi-Object Tracking. - Kuan Fang; Yu Xiang; Silvio Savarese (CoRR, 2017)

Demo2Vec: Reasoning Object Affordances From Online Videos. - Kuan Fang; Te-Lin Wu; Daniel Yang; Silvio Savarese; Joseph J. Lim (CVPR, 2018)

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. - Kuan Fang; Yunfei Bai; Stefan Hinterstoisser; Silvio Savarese; Mrinal Kalakrishnan (ICRA, 2018)

Recurrent Autoregressive Networks for Online Multi-object Tracking. - Kuan Fang; Yu Xiang; Xiaocheng Li; Silvio Savarese (WACV, 2018)

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. - Kuan Fang; Yuke Zhu; Animesh Garg; Silvio Savarese; Li Fei-Fei 001 (CoRL, 2019)

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. - Kuan Fang; Alexander Toshev; Li Fei-Fei 001; Silvio Savarese (CVPR, 2019)

KETO: Learning Keypoint Representations for Tool Manipulation. - Zengyi Qin; Kuan Fang; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (ICRA, 2020)

SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network. - RuiXing Wang; Kuan Fang; RiKang Zhou; Zhan Shen; LiWen Fan (CoRR, 2020)

Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine. - Kuan Fang; Long Zhao; Zhan Shen; RuiXing Wang; RiKang Zhou; LiWen Fan (CoRR, 2020)

Learning task-oriented grasping for tool manipulation from simulated self-supervision. - Kuan Fang; Yuke Zhu; Animesh Garg; Andrey Kurenkov; Viraj Mehta; Li Fei-Fei 001; Silvio Savarese (Int. J. Robotics Res., 2020)

Adaptive Procedural Task Generation for Hard-Exploration Problems. - Kuan Fang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (ICLR, 2021)

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. - Zhenyu Jiang 002; Yifeng Zhu; Maxwell Svetlik; Kuan Fang; Yuke Zhu (Robotics: Science and Systems, 2021)

Discovering Generalizable Skills via Automated Generation of Diverse Tasks. - Kuan Fang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (Robotics: Science and Systems, 2021)

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

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

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (CoRR, 2022)

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 D. Dragan; 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; et al. (CoRL, 2023)

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. - Kuan Fang; Toki Migimatsu; Ajay Mandlekar; Li Fei-Fei 001; Jeannette Bohg (IROS, 2023)

Stabilizing Contrastive RL: Techniques for Offline Goal Reaching. - Chongyi Zheng; Benjamin Eysenbach; Homer Walke; Patrick Yin; Kuan Fang; Ruslan Salakhutdinov; Sergey Levine (CoRR, 2023)

Multi-Stage Cable Routing through Hierarchical Imitation Learning. - Jianlan Luo; Charles Xu 003; Xinyang Geng; Gilbert Feng; Kuan Fang; Liam Tan; Stefan Schaal; Sergey Levine (CoRR, 2023)

Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation. - Jan Brüdigam; Ali-Adeeb Abbas; Maks Sorokin; Kuan Fang; Brandon Hung; Maya Guru; Stefan 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 (CoRL, 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 (ICLR, 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)

Affordance-Guided Reinforcement Learning via Visual Prompting. - Olivia Y. Lee; Annie Xie; Kuan Fang; Karl Pertsch; Chelsea Finn (CoRR, 2024)

Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation. - Vivek Myers; Bill Chunyuan Zheng; Oier Mees; Sergey Levine; Kuan Fang (CoRR, 2024)

KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data. - Grace Tang; Swetha Rajkumar; Yifei Zhou; Homer Rich Walke; Sergey Levine; Kuan Fang (CoRR, 2024)

Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset. - Andrew Goldberg; Kavish Kondap; Tianshuang Qiu; Zehan Ma; Letian Fu; Justin Kerr; Huang Huang; Kaiyuan Chen 001; Kuan Fang; Ken Goldberg (CoRR, 2024)

Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation. - Xuanlin Li; Tong Zhao; Xinghao Zhu; Jiuguang Wang; Tao Pang; Kuan Fang (CoRR, 2024)

Multistage Cable Routing Through Hierarchical Imitation Learning. - Jianlan Luo; Charles Xu 003; Xinyang Geng; Gilbert Feng; Kuan Fang; Liam Tan; Stefan Schaal; Sergey Levine (IEEE Trans. Robotics, 2024)

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following. - Vivek Myers; Bill Chunyuan Zheng; Anca D. Dragan; Kuan Fang; Sergey Levine (CoRR, 2025)

Versatile Loco-Manipulation through Flexible Interlimb Coordination. - Xinghao Zhu; Yuxin Chen; Lingfeng Sun; Farzad Niroui; Simon Le Cleac'h; Jiuguang Wang; Kuan Fang (CoRR, 2025)

Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins. - Chuanruo Ning; Kuan Fang; Wei-Chiu Ma (CoRR, 2025)

Should We Learn Contact-Rich Manipulation Policies From Sampling-Based Planners? - Huaijiang Zhu; Tong Zhao; Xinpei Ni; Jiuguang Wang; Kuan Fang; Ludovic Righetti; Tao Pang (IEEE Robotics Autom. Lett., 2025)