Random Regression for Bayes Nets Applied to Relational Data. - Oliver Schulte; Hassan Khosravi; Tianxiang Gao; Yuke Zhu (StarAI@UAI, 2012)

Graphical Model-Based Learning in High Dimensional Feature Spaces. - Zhao Song 002; Yuke Zhu (AAAI, 2013)

Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video. - Yuke Zhu; Tian Lan 006; Yijian Yang; Steve Robinovitch; Greg Mori (MVA, 2013)

StrokeBank: Automating Personalized Chinese Handwriting Generation. - Alfred Zong; Yuke Zhu (AAAI, 2014)

Reasoning about Object Affordances in a Knowledge Base Representation. - Yuke Zhu; Alireza Fathi; Li Fei-Fei 001 (ECCV (2), 2014)

Modelling relational statistics with Bayes Nets. - Oliver Schulte; Hassan Khosravi; Arthur E. Kirkpatrick; Tianxiang Gao; Yuke Zhu (Mach. Learn., 2014)

Action Recognition by Hierarchical Mid-Level Action Elements. - Tian Lan 006; Yuke Zhu; Amir Roshan Zamir; Silvio Savarese (ICCV, 2015)

Building a Large-scale Multimodal Knowledge Base for Visual Question Answering. - Yuke Zhu; Ce Zhang 001; Christopher Ré; Li Fei-Fei 001 (CoRR, 2015)

Visual7W: Grounded Question Answering in Images. - Yuke Zhu; Oliver Groth; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2016)

Scene Graph Generation by Iterative Message Passing. - Danfei Xu; Yuke Zhu; Christopher B. Choy; Li Fei-Fei 001 (CVPR, 2017)

Knowledge Acquisition for Visual Question Answering via Iterative Querying. - Yuke Zhu; Joseph J. Lim; Li Fei-Fei 001 (CVPR, 2017)

Visual Semantic Planning Using Deep Successor Representations. - Yuke Zhu; Daniel Gordon; Eric Kolve; Dieter Fox; Li Fei-Fei 001; Abhinav Gupta 001; Roozbeh Mottaghi; Ali Farhadi (ICCV, 2017)

Target-driven visual navigation in indoor scenes using deep reinforcement learning. - Yuke Zhu; Roozbeh Mottaghi; Eric Kolve; Joseph J. Lim; Abhinav Gupta 001; Li Fei-Fei 001; Ali Farhadi (ICRA, 2017)

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. - Ajay Mandlekar; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese (IROS, 2017)

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. - James Harrison; Animesh Garg; Boris Ivanovic; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001; Marco Pavone 001 (ISRR, 2017)

AI2-THOR: An Interactive 3D Environment for Visual AI. - Eric Kolve; Roozbeh Mottaghi; Daniel Gordon; Yuke Zhu; Abhinav Gupta 001; Ali Farhadi (CoRR, 2017)

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. - Ranjay Krishna; Yuke Zhu; Oliver Groth; Justin Johnson 001; Kenji Hata; Joshua Kravitz; Stephanie Chen; Yannis Kalantidis; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (Int. J. Comput. Vis., 2017)

Vicus: Exploiting local structures to improve network-based analysis of biological data. - Bo Wang 044; Lin Huang; Yuke Zhu; Anshul Kundaje; Serafim Batzoglou; Anna Goldenberg (PLoS Comput. Biol., 2017)

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 001 (CoRL, 2018)

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 001 (CoRL, 2018)

Digital Template System for Measuring Turbine Blade Forging and Its Calibration Method. - Yongkai Cai; Xu Zhang 020; Zelong Zheng; Limin Zhu 001; Yuke Zhu (ICIRA (1), 2018)

Point Pair Features Based Object Recognition with Improved Training Pipeline. - Yuke Zhu; Xu Zhang 020; Limin Zhu 001; Yongkai Cai (ICIRA (2), 2018)

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. - Danfei Xu; Suraj Nair 003; Yuke Zhu; Julian Gao; Animesh Garg; Li Fei-Fei 001; Silvio Savarese (ICRA, 2018)

Reinforcement and Imitation Learning for Diverse Visuomotor Skills. - Yuke Zhu; Ziyu Wang 001; Josh Merel; Andrei A. Rusu; Tom Erez; Serkan Cabi; Saran Tunyasuvunakool; János Kramár; Raia Hadsell; Nando de Freitas; Nicolas Heess (Robotics: Science and Systems, 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)

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. - De-An Huang; Suraj Nair 003; Danfei Xu; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese; Juan Carlos Niebles (CVPR, 2019)

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. - Chen Wang 053; Danfei Xu; Yuke Zhu; Roberto Martin Martin; Cewu Lu; Li Fei-Fei 001; Silvio Savarese (CVPR, 2019)

Situational Fusion of Visual Representation for Visual Navigation. - William B. Shen; Danfei Xu; Yuke Zhu; Li Fei-Fei 001; Leonidas J. Guibas; Silvio Savarese (ICCV, 2019)

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 003; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Jeannette Bohg (ICRA, 2019)

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. - De-An Huang; Danfei Xu; Yuke Zhu; Animesh Garg; Silvio Savarese; Li Fei-Fei 001; Juan Carlos Niebles (IROS, 2019)

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 001 (IROS, 2019)

Regression Planning Networks. - Danfei Xu; Roberto Martín-Martín; De-An Huang; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (NeurIPS, 2019)

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2019)

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. - Yunbo Wang; Bo Liu 042; Jiajun Wu 001; Yuke Zhu; Simon S. Du; Li Fei-Fei 001; Joshua B. Tenenbaum (CoRR, 2019)

Causal Induction from Visual Observations for Goal Directed Tasks. - Suraj Nair 003; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2019)

Closing the perception-action loop: towards general-purpose robot autonomy. - Yuke Zhu (2019)

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 (CoRL, 2020)

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 001 (ECCV (19), 2020)

Spherical Feature Transform for Deep Metric Learning. - Yuke Zhu; Yan Bai; Yichen Wei (ECCV (19), 2020)

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

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. - Chen Wang 053; Roberto Martín-Martín; Danfei Xu; Jun Lv; Cewu Lu; Li Fei-Fei 001; Silvio Savarese; Yuke Zhu (ICRA, 2020)

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. - Yunbo Wang; Bo Liu 042; Jiajun Wu 001; Yuke Zhu; Simon S. Du; Li Fei-Fei 001; Joshua B. Tenenbaum (IJCAI, 2020)

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. - Weili Nie; Zhiding Yu; Lei Mao; Ankit B. Patel; Yuke Zhu; Anima Anandkumar (NeurIPS, 2020)

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. - Hongyu Ren; Yuke Zhu; Jure Leskovec; Animashree Anandkumar; Animesh Garg (UAI, 2020)

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning. - Yuke Zhu; Josiah Wong; Ajay Mandlekar; Roberto Martín-Martín (CoRR, 2020)

Human-in-the-Loop Imitation Learning using Remote Teleoperation. - Ajay Mandlekar; Danfei Xu; Roberto Martín-Martín; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (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)

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. - Michelle A. Lee; Yuke Zhu; Peter Zachares; Matthew Tan; Krishnan Srinivasan; Silvio Savarese; Li Fei-Fei 001; Animesh Garg; Jeannette Bohg (IEEE Trans. Robotics, 2020)

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. - Youngwoon Lee; Joseph J. Lim; Anima Anandkumar; Yuke Zhu (CoRL, 2021)

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. - Ajay Mandlekar; Danfei Xu; Josiah Wong; Soroush Nasiriany; Chen Wang 053; Rohun Kulkarni; Li Fei-Fei 001; Silvio Savarese; Yuke Zhu; Roberto Martín-Martín (CoRL, 2021)

Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales. - Yifan Sun 003; Yuke Zhu; Yuhan Zhang 004; Pengkun Zheng; Xi Qiu; Chi Zhang 026; Yichen Wei (CVPR, 2021)

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 (ICCV, 2021)

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

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei 001; Yuke Zhu; Animashree Anandkumar (ICML, 2021)

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. - Bo Liu 042; Qiang Liu 001; Peter Stone 001; Animesh Garg; Yuke Zhu; Anima Anandkumar (ICML, 2021)

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 (ICML, 2021)

Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. - Michelle A. Lee; Matthew Tan; Yuke Zhu; Jeannette Bohg (ICRA, 2021)

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. - Xinlei Pan; Animesh Garg; Animashree Anandkumar; Yuke Zhu (ICRA, 2021)

Fast Uncertainty Quantification for Deep Object Pose Estimation. - Guanya Shi; Yifeng Zhu; Jonathan Tremblay; Stan Birchfield; Fabio Ramos 001; Animashree Anandkumar; Yuke Zhu (ICRA, 2021)

Learning Multi-Arm Manipulation Through Collaborative Teleoperation. - Albert Tung; Josiah Wong; Ajay Mandlekar; Roberto Martín-Martín; Yuke Zhu; Li Fei-Fei 001; Silvio Savarese (ICRA, 2021)

Deep Affordance Foresight: Planning Through What Can Be Done in the Future. - Danfei Xu; Ajay Mandlekar; Roberto Martín-Martín; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (ICRA, 2021)

Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. - Yifeng Zhu; Jonathan Tremblay; Stan Birchfield; Yuke Zhu (ICRA, 2021)

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning. - Paul Pu Liang; Yiwei Lyu; Xiang Fan; Zetian Wu; Yun Cheng; Jason Wu 001; Leslie Chen; Peter Wu; Michelle A. Lee; Yuke Zhu; Ruslan Salakhutdinov; Louis-Philippe Morency (NeurIPS Datasets and Benchmarks, 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)

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. - Anuj Mahajan; Mikayel Samvelyan; Lei Mao; Viktor Makoviychuk; Animesh Garg; Jean Kossaifi; Shimon Whiteson; Yuke Zhu; Animashree Anandkumar (CoRR, 2021)

1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition. - Zihua Xiong; Yumeng Ruan; Yifei Hu; Yue Zhang; Yuke Zhu; Sheng Guo 005; Bing Han 017 (CLEF (Working Notes), 2022)

Learning and Retrieval from Prior Data for Skill-based Imitation Learning. - Soroush Nasiriany; Tian Gao; Ajay Mandlekar; Yuke Zhu (CoRL, 2022)

VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. - Yifeng Zhu; Abhishek Joshi; Peter Stone 001; Yuke Zhu (CoRL, 2022)

Ditto: Building Digital Twins of Articulated Objects from Interaction. - Zhenyu Jiang 002; Cheng-Chun Hsu; Yuke Zhu (CVPR, 2022)

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. - Jiaxun Cui; Hang Qiu 001; Dian Chen 005; Peter Stone 001; Yuke Zhu (CVPR, 2022)

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. - Huaizu Jiang; Xiaojian Ma 001; Weili Nie; Zhiding Yu; Yuke Zhu; Anima Anandkumar (CVPR, 2022)

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. - Xiaojian Ma 001; Weili Nie; Zhiding Yu; Huaizu Jiang; Chaowei Xiao; Yuke Zhu; Song-Chun Zhu; Anima Anandkumar (ICLR, 2022)

Causal Dynamics Learning for Task-Independent State Abstraction. - Zizhao Wang; Xuesu Xiao; Zifan Xu; Yuke Zhu; Peter Stone 001 (ICML, 2022)

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. - Soroush Nasiriany; Huihan Liu; Yuke Zhu (ICRA, 2022)

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. - Josiah Wong; Viktor Makoviychuk; Anima Anandkumar; Yuke Zhu (ICRA, 2022)

Visually Grounded Task and Motion Planning for Mobile Manipulation. - Xiaohan Zhang 002; Yifeng Zhu; Yan Ding 002; Yuke Zhu; Peter Stone 001; Shiqi Zhang 001 (ICRA, 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. - Linxi Fan; Guanzhi Wang; Yunfan Jiang 001; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (NeurIPS, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (NeurIPS, 2022)

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. - Bokui Shen; Zhenyu Jiang 002; Christopher B. Choy; Silvio Savarese; Leonidas J. Guibas; Anima Anandkumar; Yuke Zhu (Robotics: Science and Systems, 2022)

VIMA: General Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (CoRR, 2022)

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors. - Yifeng Zhu; Abhishek Joshi; Peter Stone 001; Yuke Zhu (CoRR, 2022)

Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation. - Yifeng Zhu; Peter Stone 001; Yuke Zhu (IEEE Robotics Autom. Lett., 2022)

Building Compositional Robot Autonomy with Modularity and Abstraction. - Yuke Zhu (AAAI, 2023)

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. - Ajay Mandlekar; Soroush Nasiriany; Bowen Wen; Iretiayo Akinola; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Dieter Fox (CoRL, 2023)

MUTEX: Learning Unified Policies from Multimodal Task Specifications. - Rutav Shah; Roberto Martín-Martín; Yuke Zhu (CoRL, 2023)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. - Chen Wang 053; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei 001; Danfei Xu; Yuke Zhu; Anima Anandkumar (CoRL, 2023)

Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. - Yifeng Zhu; Zhenyu Jiang 002; Peter Stone 001; Yuke Zhu (CoRL, 2023)

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. - Wei Dong; Christopher B. Choy; Charles Loop; Or Litany; Yuke Zhu; Anima Anandkumar (CVPR, 2023)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. - Zhuolin Yang; Wei Ping; Zihan Liu 001; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li 026; Mohammad Shoeybi; Ming-Yu Liu 001; et al. (EMNLP (Findings), 2023)

Deep Imitation Learning for Humanoid Loco-manipulation Through Human Teleoperation. - Mingyo Seo; Steve Han; Kyutae Sim; SeungHyeon Bang; Carlos Gonzalez; Luis Sentis; Yuke Zhu (Humanoids, 2023)

VIMA: Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (ICML, 2023)

Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception. - Cheng-Chun Hsu; Zhenyu Jiang 002; Yuke Zhu (ICRA, 2023)

Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments. - Mingyo Seo; Ryan Gupta; Yifeng Zhu; Alexy Skoutnev; Luis Sentis; Yuke Zhu (ICRA, 2023)

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. - Xiaohan Zhang 002; Yifeng Zhu; Yan Ding 002; Yuqian Jiang; Yuke Zhu; Peter Stone 001; Shiqi Zhang 001 (IROS, 2023)

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. - Bo Liu 042; Yifeng Zhu; Chongkai Gao; Yihao Feng; Qiang Liu 001; Yuke Zhu; Peter Stone 001 (NeurIPS, 2023)

Cross-Episodic Curriculum for Transformer Agents. - Lucy Xiaoyang Shi; Yunfan Jiang 001; Jake Grigsby; Linxi Fan; Yuke Zhu (NeurIPS, 2023)

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. - Huihan Liu; Soroush Nasiriany; Lance Zhang; Zhiyao Bao; Yuke Zhu (Robotics: Science and Systems, 2023)

Granger-Causal Hierarchical Skill Discovery. - Caleb Chuck; Kevin Black; Aditya Arjun; Yuke Zhu; Scott Niekum (CoRR, 2023)

Interactive Robot Learning from Verbal Correction. - Huihan Liu; Alice Chen; Yuke Zhu; Adith Swaminathan; Andrey Kolobov; Ching-An Cheng (CoRR, 2023)

RotaTR: Detection Transformer for Dense and Rotated Object. - Yuke Zhu; Yumeng Ruan; Lei Yang; Sheng Guo 005 (CoRR, 2023)

Edge Wasserstein Distance Loss for Oriented Object Detection. - Yuke Zhu; Yumeng Ruan; Zihua Xiong; Sheng Guo 005 (CoRR, 2023)

Few-View Object Reconstruction with Unknown Categories and Camera Poses. - Hanwen Jiang; Zhenyu Jiang 002; Kristen Grauman; Yuke Zhu (3DV, 2024)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. - Zizhao Wang; Caroline Wang; Xuesu Xiao; Yuke Zhu; Peter Stone 001 (AAAI, 2024)

Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions. - Zhenyu Jiang 002; Yuqi Xie; Jinhan Li; Ye Yuan; Yifeng Zhu; Yuke Zhu (CoRL, 2024)

OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation. - Jinhan Li; Yifeng Zhu; Yuqi Xie; Zhenyu Jiang 002; Mingyo Seo; Georgios Pavlakos; Yuke Zhu (CoRL, 2024)

Multi-Task Interactive Robot Fleet Learning with Visual World Models. - Huihan Liu; Yu Zhang; Vaarij Betala; Evan Zhang; James Liu; Crystal Ding; Yuke Zhu (CoRL, 2024)

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents. - Jake Grigsby; Linxi Fan; Yuke Zhu (ICLR, 2024)

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 (ICLR, 2024)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. - Soroush Nasiriany; Fei Xia 002; Wenhao Yu 003; Ted Xiao; Jacky Liang; Ishita Dasgupta 001; Annie Xie; Danny Driess; Ayzaan Wahid; Zhuo Xu; Quan Vuong; Tingnan Zhang; et al. (ICML, 2024)

Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow. - Zhenyu Jiang 002; Hanwen Jiang; Yuke Zhu (ICRA, 2024)

Model-Based Runtime Monitoring with Interactive Imitation Learning. - Huihan Liu; Shivin Dass; Roberto Martín-Martín; Yuke Zhu (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)

LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery. - Weikang Wan; Yifeng Zhu; Rutav Shah; Yuke Zhu (ICRA, 2024)

ARDuP: Active Region Video Diffusion for Universal Policies. - Shuaiyi Huang; Mara Levy; Zhenyu Jiang 002; Anima Anandkumar; Yuke Zhu; Linxi Fan; De-An Huang; Abhinav Shrivastava (IROS, 2024)

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers. - Jake Grigsby; Justin Sasek; Samyak Parajuli; Daniel Adebi; Amy Zhang 001; Yuke Zhu (NeurIPS, 2024)

INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning. - Muzhi Han; Yifeng Zhu; Song-Chun Zhu; Ying Nian Wu; Yuke Zhu (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (Robotics: Science and Systems, 2024)

RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots. - Soroush Nasiriany; Abhiram Maddukuri; Lance Zhang; Adeet Parikh; Aaron Lo; Abhishek Joshi; Ajay Mandlekar; Yuke Zhu (Robotics: Science and Systems, 2024)

Vision-based Manipulation from Single Human Video with Open-World Object Graphs. - Yifeng Zhu; Arisrei Lim; Peter Stone 001; Yuke Zhu (CoRR, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Sam Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (CoRR, 2024)

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots. - Soroush Nasiriany; Abhiram Maddukuri; Lance Zhang; Adeet Parikh; Aaron Lo; Abhishek Joshi; Ajay Mandlekar; Yuke Zhu (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

PRESTO: Fast motion planning using diffusion models based on key-configuration environment representation. - Mingyo Seo; Yoonyoung Cho; Yoonchang Sung; Peter Stone 001; Yuke Zhu; Beomjoon Kim (CoRR, 2024)

KinScene: Model-Based Mobile Manipulation of Articulated Scenes. - Cheng-Chun Hsu; Ben Abbatematteo; Zhenyu Jiang 002; Yuke Zhu; Roberto Martín-Martín; Joydeep Biswas (CoRR, 2024)

BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation. - Rutav Shah; Albert Yu 002; Yifeng Zhu; Yuke Zhu; Roberto Martín-Martín (CoRR, 2024)

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. - Tairan He; Wenli Xiao; Toru Lin; Zhengyi Luo 002; Zhenjia Xu; Zhenyu Jiang 002; Jan Kautz; Changliu Liu; Guanya Shi; Xiaolong Wang 004; Linxi Fan; Yuke Zhu (CoRR, 2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. - Zhendong Wang; Zhaoshuo Li; Ajay Mandlekar; Zhenjia Xu; Jiaojiao Fan; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Yogesh Balaji; Mingyuan Zhou; Ming-Yu Liu 001; Yu Zeng 001 (CoRR, 2024)

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning. - Zhenyu Jiang 002; Yuqi Xie; Kevin Lin; Zhenjia Xu; Weikang Wan; Ajay Mandlekar; Linxi Fan; Yuke Zhu (CoRR, 2024)

SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation. - Cheng-Chun Hsu; Bowen Wen; Jie Xu 028; Yashraj S. Narang; Xiaolong Wang 004; Yuke Zhu; Joydeep Biswas; Stan Birchfield (CoRR, 2024)

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 (CoRR, 2024)

FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression. - Yuke Zhu; Chi Xie; Shuang Liang; Bo Zheng 007; Sheng Guo 005 (CoRR, 2024)

Action-conditional implicit visual dynamics for deformable object manipulation. - Bokui Shen; Zhenyu Jiang 002; Christopher Bongsoo Choy; Silvio Savarese; Leonidas J. Guibas; Anima Anandkumar; Yuke Zhu (Int. J. Robotics Res., 2024)

Granger Causal Interaction Skill Chains. - Caleb Chuck; Kevin Black; Aditya Arjun; Yuke Zhu; Scott Niekum (Trans. Mach. Learn. Res., 2024)

Voyager: An Open-Ended Embodied Agent with Large Language Models. - Guanzhi Wang; Yuqi Xie; Yunfan Jiang 001; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning. - Tian Gao; Soroush Nasiriany; Huihan Liu; Quantao Yang; Yuke Zhu (IEEE Robotics Autom. Lett., 2024)

An AI-Aided Algorithm for Multivariate Polynomial Reconstruction on Cartesian Grids and the PLG Finite Difference Method. - Qinghai Zhang; Yuke Zhu; Zhixuan Li (J. Sci. Comput., 2024)

Interpretable machine learning model for predicting acute kidney injury in critically ill patients. - Xunliang Li; Peng Wang; Yuke Zhu; Wenman Zhao; Haifeng Pan; Deguang Wang (BMC Medical Informatics Decis. Mak., 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. - Jitai Hao; Yuke Zhu; Tian Wang; Jun Yu; Xin Xin 003; Bo Zheng 007; Zhaochun Ren; Sheng Guo 005 (ICLR, 2025)

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 007; Sheng Guo 005 (ICLR, 2025)

Foundation models in robotics: Applications, challenges, and the future. - Roya Firoozi; John Tucker 001; Stephen Tian; Anirudha Majumdar; Jiankai Sun; Weiyu Liu; Yuke Zhu; Shuran Song; Ashish Kapoor; Karol Hausman; Brian Ichter; Danny Driess; et al. (Int. J. Robotics Res., 2025)

Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning. - Zhaoyuan Gu; Junheng Li; Wenlan Shen; Wenhao Yu 003; Zhaoming Xie; Stephen McCrory; Xianyi Cheng; Abdulaziz Shamsah; Robert J. Griffin; C. Karen Liu; Abderrahmane Kheddar; Xue Bin Peng; et al. (CoRR, 2025)

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. - Tairan He; Jiawei Gao; Wenli Xiao; Yuanhang Zhang; Zi Wang; Jiashun Wang; Zhengyi Luo 002; Guanqi He; Nikhil Sobanbab; Chaoyi Pan; Zeji Yi; Guannan Qu; et al. (CoRR, 2025)

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation. - Yue Zhao 006; Fuzhao Xue; Scott Reed; Linxi Fan; Yuke Zhu; Jan Kautz; Zhiding Yu; Philipp Krähenbühl; De-An Huang (CoRR, 2025)

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids. - Toru Lin; Kartik Sachdev; Linxi Fan; Jitendra Malik; Yuke Zhu (CoRR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

A fourth-order cut-cell method for solving the two-dimensional advection-diffusion equation with moving boundaries. - Kaiyi Liang; Yuke Zhu; Jiyu Liu; Qinghai Zhang (CoRR, 2025)

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation. - Abhiram Maddukuri; Zhenyu Jiang 002; Lawrence Yunliang Chen; Soroush Nasiriany; Yuqi Xie; Yu Fang; Wenqi Huang 005; Zu Wang; Zhenjia Xu; Nikita Chernyadev; Scott Reed; Ken Goldberg; et al. (CoRR, 2025)

LEGATO: Cross-Embodiment Imitation Using a Grasping Tool. - Mingyo Seo; H. Andy Park; Shenli Yuan; Yuke Zhu; Luis Sentis (IEEE Robotics Autom. Lett., 2025)

A Fast Fourth-Order Cut Cell Method for Solving Elliptic Equations in Two-Dimensional Irregular Domains. - Yuke Zhu; Zhixuan Li; Qinghai Zhang (CoRR, 2025)

Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers. - Jake Grigsby; Yuqi Xie; Justin Sasek; Steven Zheng; Yuke Zhu (CoRR, 2025)

VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making. - Jake Grigsby; Yuke Zhu; Michael S. Ryoo; Juan Carlos Niebles (CoRR, 2025)

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. - Zhengyi Luo 002; Chen Tessler; Toru Lin; Ye Yuan 007; Tairan He; Wenli Xiao; Yunrong Guo; Gal Chechik; Kris Kitani; Linxi Fan; Yuke Zhu (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - 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; et al. (CoRR, 2025)

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation. - Abhay Deshpande; Yuquan Deng; Arijit Ray; Jordi Salvador; Winson Han; Jiafei Duan; Kuo-Hao Zeng; Yuke Zhu; Ranjay Krishna; Rose Hendrix (CoRR, 2025)

FLARE: Robot Learning with Implicit World Modeling. - 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; et al. (CoRR, 2025)

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning. - Yu Zhang; Yuqi Xie; Huihan Liu; Rutav Shah; Michael Wan; Linxi Fan; Yuke Zhu (CoRR, 2025)

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models. - Huihan Liu; Rutav Shah; Shuijing Liu; Jack Pittenger; Mingyo Seo; Yuchen Cui; Yonatan Bisk; Roberto Martín-Martín; Yuke Zhu (CoRR, 2025)

Fourth- and Higher-Order Semi-Lagrangian Finite Volume Methods for the Two-dimensional Advection Equation on Arbitrarily Complex Domains. - Yunxia Sun; Kaiyi Liang; Yuke Zhu; Zhi Lin; Qinghai Zhang (CoRR, 2025)

FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation. - Siqi Shang; Mingyo Seo; Yuke Zhu; Lillian Chin (CoRR, 2025)

Constraint-Preserving Data Generation for Visuomotor Policy Learning. - Kevin Lin; Varun Ragunath; Andrew McAlinden; Aaditya Prasad; Jimmy Wu; Yuke Zhu; Jeannette Bohg (CoRR, 2025)