Yuke Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
89
Venues
15
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
89 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph. | Lirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang, Yuke Zhu, Bo Zheng, Haobo Wang, Junbo Zhao, Gang Chen, Sheng Guo |
| 2026 | ACL | Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning. | Qiao Liang, Yuke Zhu, Chao Ge, Lei Yang, Ying Shen, Bo Zheng, Sheng Guo |
| 2025 | ICCV | LightCity: An Urban Dataset for Outdoor Inverse Rendering and Reconstruction Under Multi-Illumination Conditions. | Jingjing Wang, Qirui Hu, Chong Bao, Yuke Zhu, Hujun Bao, Zhaopeng Cui, Guofeng Zhang |
| 2025 | ICLR | LongVILA: Scaling Long-Context Visual Language Models for Long Videos. | 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 | ICLR | OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. | Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo |
| 2025 | ICLR | Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information. | Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong, Bo Zheng, Sheng Guo |
| 2025 | ICML | One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. | 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 | ICRA | 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 Jim Fan, Yuke Zhu |
| 2025 | ICRA | SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation. | Cheng-Chun Hsu, Bowen Wen, Jie Xu, Yashraj S. Narang, Xiaolong Wang, Yuke Zhu, Joydeep Biswas, Stan Birchfield |
| 2025 | ICRA | DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning. | Zhenyu Jiang, Yuqi Xie, Kevin Lin, Zhenjia Xu, Weikang Wan, Ajay Mandlekar, Linxi Jim Fan, Yuke Zhu |
| 2025 | ICRA | RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation. | Soroush Nasiriany, Sean Kirmani, Tianli Ding, Laura Smith, Yuke Zhu, Danny Driess, Dorsa Sadigh, Ted Xiao |
| 2025 | ICRA | PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation. | Mingyo Seo, Yoonyoung Cho, Yoonchang Sung, Peter Stone, Yuke Zhu, Beomjoon Kim |
| 2025 | ICRA | BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation. | Rutav Shah, Albert Yu, Yifeng Zhu, Yuke Zhu, Roberto Martn-Martn |
| 2024 | AAAI | Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. | Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone |
| 2024 | CoRL | Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions. | Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu |
| 2024 | CoRL | Multi-Task Interactive Robot Fleet Learning with Visual World Models. | Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu |
| 2024 | CoRL | OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation. | Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, Yuke Zhu |
| 2024 | ICLR | AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents. | Jake Grigsby, Linxi Fan, Yuke Zhu |
| 2024 | ICLR | 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 |
| 2024 | ICML | PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. | Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter |
| 2024 | ICRA | Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow. | Zhenyu Jiang, Hanwen Jiang, Yuke Zhu |
| 2024 | ICRA | Model-Based Runtime Monitoring with Interactive Imitation Learning. | Huihan Liu, Shivin Dass, Roberto Martn-Martn, Yuke Zhu |
| 2024 | ICRA | 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, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | IROS | 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 |
| 2024 | ICRA | LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery. | Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu |
| 2023 | AAAI | Building Compositional Robot Autonomy with Modularity and Abstraction. | Yuke Zhu |
| 2023 | CoRL | MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. | Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj Narang, Linxi Fan, Yuke Zhu, Dieter Fox |
| 2023 | CoRL | MUTEX: Learning Unified Policies from Multimodal Task Specifications. | Rutav Shah, Roberto Martn-Martn, Yuke Zhu |
| 2023 | CoRL | 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 |
| 2023 | CoRL | Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. | Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu |
| 2023 | CVPR | Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. | Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar |
| 2023 | EMNLP | 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, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICML | 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 |
| 2023 | ICRA | Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception. | Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu |
| 2023 | IROS | Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. | Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang |
| 2023 | ICRA | Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments. | Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu |
| 2022 | CoRL | Learning and Retrieval from Prior Data for Skill-based Imitation Learning. | Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu |
| 2022 | CoRL | VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. | Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu |
| 2022 | CVPR | Ditto: Building Digital Twins of Articulated Objects from Interaction. | Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu |
| 2022 | CVPR | Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. | Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu |
| 2022 | CVPR | Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. | Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar |
| 2022 | ICLR | RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. | Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar |
| 2022 | ICML | Causal Dynamics Learning for Task-Independent State Abstraction. | Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone |
| 2022 | ICRA | Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. | Soroush Nasiriany, Huihan Liu, Yuke Zhu |
| 2022 | ICRA | OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. | Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu |
| 2022 | ICRA | Visually Grounded Task and Motion Planning for Mobile Manipulation. | Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang |
| 2021 | CoRL | Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. | Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu |
| 2021 | CoRL | What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. | Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martn-Martn |
| 2021 | CVPR | Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales. | Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei |
| 2021 | ICCV | DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. | Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar |
| 2021 | ICLR | Adaptive Procedural Task Generation for Hard-Exploration Problems. | Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei |
| 2021 | ICML | 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 |
| 2021 | ICML | Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. | Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar |
| 2021 | ICML | Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. | Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar |
| 2021 | ICRA | Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. | Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg |
| 2021 | ICRA | Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. | Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu |
| 2021 | ICRA | Fast Uncertainty Quantification for Deep Object Pose Estimation. | Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu |
| 2021 | ICRA | Learning Multi-Arm Manipulation Through Collaborative Teleoperation. | Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martn-Martn, Yuke Zhu, Li Fei-Fei, Silvio Savarese |
| 2021 | ICRA | Deep Affordance Foresight: Planning Through What Can Be Done in the Future. | Danfei Xu, Ajay Mandlekar, Roberto Martn-Martn, Yuke Zhu, Silvio Savarese, Li Fei-Fei |
| 2021 | ICRA | Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. | Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu |
| 2020 | CoRL | Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. | Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg |
| 2020 | ECCV | 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 |
| 2020 | ECCV | Spherical Feature Transform for Deep Metric Learning. | Yuke Zhu, Yan Bai, Yichen Wei |
| 2020 | IJCAI | DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. | Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum |
| 2020 | ICRA | KETO: Learning Keypoint Representations for Tool Manipulation. | Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese |
| 2020 | ICRA | 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. | Chen Wang, Roberto Martn-Martn, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu |
| 2020 | UAI | OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. | Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg |
| 2019 | CoRL | Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. | Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei |
| 2019 | CVPR | Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. | De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles |
| 2019 | CVPR | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. | Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese |
| 2019 | ICCV | Situational Fusion of Visual Representation for Visual Navigation. | William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese |
| 2019 | ICRA | Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. | Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg |
| 2019 | IROS | Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. | De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles |
| 2019 | IROS | Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. | Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei |
| 2018 | CoRL | 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 |
| 2018 | CoRL | ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. | Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei |
| 2018 | ICRA | Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. | Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese |
| 2017 | CVPR | Scene Graph Generation by Iterative Message Passing. | Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei |
| 2017 | CVPR | Knowledge Acquisition for Visual Question Answering via Iterative Querying. | Yuke Zhu, Joseph J. Lim, Li Fei-Fei |
| 2017 | ICCV | Visual Semantic Planning Using Deep Successor Representations. | Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi |
| 2017 | IROS | Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. | Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese |
| 2017 | ICRA | Target-driven visual navigation in indoor scenes using deep reinforcement learning. | Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi |
| 2017 | ISRR | AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. | James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone |
| 2016 | CVPR | Visual7W: Grounded Question Answering in Images. | Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei |
| 2015 | ICCV | Action Recognition by Hierarchical Mid-Level Action Elements. | Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese |
| 2014 | AAAI | StrokeBank: Automating Personalized Chinese Handwriting Generation. | Alfred Zong, Yuke Zhu |
| 2014 | ECCV | Reasoning about Object Affordances in a Knowledge Base Representation. | Yuke Zhu, Alireza Fathi, Li Fei-Fei |
| 2013 | AAAI | Graphical Model-Based Learning in High Dimensional Feature Spaces. | Zhao Song, Yuke Zhu |
| 2013 | MVA | Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video. | Yuke Zhu, Tian Lan, Yijian Yang, Steve Robinovitch, Greg Mori |