Yuke Zhu

发表

Visual Semantic Planning Using Deep Successor Representations

Ali Farhadi, Li Fei-Fei, Yuke Zhu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

AI2-THOR: An Interactive 3D Environment for Visual AI pdf

Ali Farhadi, Yuke Zhu, Abhinav Gupta, 2017, ArXiv.

Target-driven visual navigation in indoor scenes using deep reinforcement learning

Ali Farhadi, Li Fei-Fei, Yuke Zhu, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

Silvio Savarese, Danfei Xu, Li Fei-Fei, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Michael S. Bernstein, Li Fei-Fei, David A. Shamma, 2016, International Journal of Computer Vision.

Learning task-oriented grasping for tool manipulation from simulated self-supervision pdf

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2018, Robotics: Science and Systems.

Visual7W: Grounded Question Answering in Images

Michael S. Bernstein, Li Fei-Fei, Yuke Zhu, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Causal Induction from Visual Observations for Goal Directed Tasks pdf

Silvio Savarese, Fei-Fei Li, Yuke Zhu, 2019, ArXiv.

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Building a Large-scale Multimodal Knowledge Base for Visual Question Answering pdf

Christopher Ré, Yuke Zhu, Ce Zhang, 2015, ArXiv.

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2019, CoRL.

Reasoning about Object Affordances in a Knowledge Base Representation

Li Fei-Fei, Yuke Zhu, Alireza Fathi, 2014, ECCV.

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2018, CoRL.

Hierarchical Task Generalization with Neural Programs

S. Savarese, Animesh Garg, Yuke Zhu, 2017 .

Reinforcement and Imitation Learning for Diverse Visuomotor Skills pdf

Nando de Freitas, Raia Hadsell, Yuke Zhu, 2018, Robotics: Science and Systems.

Learning a Visual State Representation for Generative Adversarial Imitation Learning

S. Savarese, Animesh Garg, Yuke Zhu, 2017 .

Model and calibration of underwater stereo vision based on the light field

Yuke Zhu, Xu Zhang, Dawei Tu, 2018, Measurement Science and Technology.

Random Regression for Bayes Nets Applied to Relational Data

Yuke Zhu, O. Schulte, Hassan Khosravi, 2012, StarAI@UAI.

Modelling Relational Statistics With Bayes Nets ( Poster Presentation SRL Workshop )

Yuke Zhu, A. Kirkpatrick, O. Schulte, 2012 .

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning pdf

Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency, 2021, NeurIPS Datasets and Benchmarks.

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs

Yunbo Wang, Fei-Fei Li, Yuke Zhu, 2020, IJCAI.

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision pdf

Yuke Zhu, Anima Anandkumar, Zhiding Yu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

The Method of Upper and Lower Solutions to Impulsive Differential Equation with Sturm–Liouville Integral Boundary Conditions

Yuke Zhu, H. Pang, Mengyang Cui, 2018, Differential Equations and Dynamical Systems.

The shooting method and positive solutions of fourth-order impulsive differential equations with multi-strip integral boundary conditions

Yuke Zhu, H. Pang, Y. Zhu, 2018, Advances in Differential Equations.

Ditto: Building Digital Twins of Articulated Objects from Interaction

Yuke Zhu, Zhenyu Jiang, Cheng-Chun Hsu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hypoxia Induces Oxidative Injury and Apoptosis via Mediating the Nrf-2/Hippo Pathway in Blood Cells of Largemouth Bass (Micropterus salmoides)

Yuke Zhu, Yu-tao Miao, Junru Hu, 2022, Frontiers in Ecology and Evolution.

Existence and uniqueness results for a coupled fractional order systems with the multi-strip and multi-point mixed boundary conditions

Yuke Zhu, H. Pang, Mengyang Cui, 2017 .

The Effect of Environmental Policy Uncertainty on Enterprises’ Pollution Emissions: Evidence from Chinese Industrial Enterprise

Yuke Zhu, Dong Le, Fei Ren, 2022, International journal of environmental research and public health.

Kaleidoscope : Computer-Assisted Ideation through Idea Network Exploration

Yuke Zhu, Zifei Shan, Tianxin Zhao, 2013 .

Global Value Chains and the Environmental Kuznets Curve: Promotion or Hindrance?

Yuke Zhu, Yiding Tang, Xingzhi Qiao, 2022, Applied Economics Letters.

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Anima Anandkumar, Linxi (Jim) Fan, Yuke Zhu, 2022, ArXiv.

VIMA: General Robot Manipulation with Multimodal Prompts

Li Fei-Fei, Anima Anandkumar, Linxi (Jim) Fan, 2022, ArXiv.

1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition

Yuke Zhu, Bing Han, Yue Zhang, 2022, CLEF.

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Anima Anandkumar, Linxi (Jim) Fan, Yuke Zhu, 2022, ArXiv.

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning

Juan Carlos Niebles, S. Savarese, Animesh Garg, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Yuke Zhu, Ajay Mandlekar, Soroush Nasiriany, 2022, CoRL.

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors

P. Stone, Yuke Zhu, Yifeng Zhu, 2022, ArXiv.

The Spatial Effect of Air Pollution Governance on Labor Productivity: Evidence from 262 Chinese Cities

Yuke Zhu, Dong Le, Fei Ren, 2022, International journal of environmental research and public health.

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

P. Stone, Dian Chen, Yuke Zhu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Byron Boots, Yuke Zhu, Xingye Da, 2020, Conference on Robot Learning.

Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

L. Sentis, Yuke Zhu, Yifeng Zhu, 2022, ArXiv.

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Anima Anandkumar, Linxi (Jim) Fan, Yuke Zhu, 2022, NeurIPS.

Can local environmental constraints improve enterprise’s green innovation quality? Evidence from Chinese-listed firms

Yuke Zhu, Yanan Hu, Yiding Tang, 2022, Environmental Science and Pollution Research.

Supplementary Material for: Ditto: Building Digital Twins of Articulated Objects through Interaction

Yuke Zhu, Zhenyu Jiang, Cheng-Chun Hsu, 2022 .

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Yuke Zhu, Zhiding Yu, Song-Chun Zhu, 2022, International Conference on Learning Representations.

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Song-Chun Zhu, Anima Anandkumar, Yuke Zhu, 2022, ICLR.

Modelling relational statistics with Bayes Nets

Yuke Zhu, Hassan Khosravi, Tianxiang Gao, 2013, Machine Learning.

Causal Dynamics Learning for Task-Independent State Abstraction

P. Stone, Yuke Zhu, Xuesu Xiao, 2022, ICML.

Deep Affordance Foresight: Planning Through What Can Be Done in the Future

Silvio Savarese, Danfei Xu, Li Fei-Fei, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Situational Fusion of Visual Representation for Visual Navigation

Leonidas J. Guibas, Silvio Savarese, Danfei Xu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

Silvio Savarese, Chen Wang, Danfei Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The specific RIP1 inhibitor necrostatin-1 ameliorated degradation of ECM in human SW1353 cells

Yuke Zhu, Q. Dong, Ye Xie, 2018, Artificial cells, nanomedicine, and biotechnology.

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation

Li Fei-Fei, S. Savarese, Animesh Garg, 2019, CoRL.

StrokeBank: Automating Personalized Chinese Handwriting Generation

Yuke Zhu, Alfred Zong, Yuke Zhu, 2014, AAAI.

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Paul Pu Liang, Michelle A. Lee, R. Salakhutdinov, 2021, NeurIPS Datasets and Benchmarks.

Can local environmental constraints improve enterprise’s green innovation quality? Evidence from Chinese-listed firms

Yuke Zhu, Yanan Hu, Yiding Tang, 2022, Environmental Science and Pollution Research.

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play

Li Fei-Fei, Anima Anandkumar, Linxi (Jim) Fan, 2023, ArXiv.

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment

Yuke Zhu, Huihan Liu, Zhiyao Bao, 2022, ArXiv.

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors

P. Stone, Yuke Zhu, Yifeng Zhu, 2022, ArXiv.

Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation pdf

Peter Stone, Yifeng Zhu, Yuke Zhu, 2021, IEEE Robotics and Automation Letters.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation pdf

Silvio Savarese, Danfei Xu, Li Fei-Fei, 2021, CoRL.

Learning Multi-Arm Manipulation Through Collaborative Teleoperation pdf

Silvio Savarese, Roberto Mart'in-Mart'in, Li Fei-Fei, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Human-in-the-Loop Imitation Learning using Remote Teleoperation pdf

Silvio Savarese, Roberto Mart'in-Mart'in, Danfei Xu, 2020, ArXiv.

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration

Silvio Savarese, Juan Carlos Niebles, Danfei Xu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

Silvio Savarese, Yuke Zhu, Jeannette Bohg, 2019, IEEE Transactions on Robotics.

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations pdf

Yuke Zhu, Kuan Fang, Maxwell Svetlik, 2021, Robotics: Science and Systems.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Yuke Zhu, Ajay Mandlekar, Roberto Mart'in-Mart'in, 2020, ArXiv.

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Li Fei-Fei, Yuke Zhu, Anima Anandkumar, 2021, ICML.

ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems pdf

Silvio Savarese, Marco Pavone, Yuke Zhu, 2017, ISRR.

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Shimon Whiteson, Yuke Zhu, Jean Kossaifi, 2021, ICML.

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs

Li Fei-Fei, J. Tenenbaum, S. Du, 2019, IJCAI.

Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs pdf

Yunbo Wang, Fei-Fei Li, Yuke Zhu, 2019, ArXiv.

Imitation Learning Init Demo Existing One-Shot Approaches Policy Networks Action : Pick ( A ) Symbol Gnding Networks

Juan Carlos Niebles, S. Savarese, Yuke Zhu, 2019 .

Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs

Yuke Zhu, Jonathan Tremblay, Stan Birchfield, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Fast Uncertainty Quantification for Deep Object Pose Estimation

Yuke Zhu, Jonathan Tremblay, Animashree Anandkumar, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints

Silvio Savarese, Chen Wang, Roberto Mart'in-Mart'in, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

Yuke Zhu, Huihan Liu, Yuke Zhu, 2021, 2022 International Conference on Robotics and Automation (ICRA).

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation pdf

Viktor Makoviychuk, Yuke Zhu, Josiah Wong, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Task-Independent Causal State Abstraction

P. Stone, Yuke Zhu, Xuesu Xiao, 2021 .

SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2018, CoRL.

Scene Graph Generation by Iterative Message Passing

Danfei Xu, Li Fei-Fei, Yuke Zhu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Raisin: Residual Algorithms for Versatile Offline Reinforcement Learning

U. Austin, Yuke Zhu, Braham Snyder, 2022 .

1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition

Yuke Zhu, Shengting Guo, Bing Han, 2022, CLEF.

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

S. Savarese, L. Guibas, Anima Anandkumar, 2022, Robotics: Science and Systems XVIII.

KETO: Learning Keypoint Representations for Tool Manipulation

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

P. Stone, Dian Chen, Yuke Zhu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries

Li Fei-Fei, Yuke Zhu, Ce Zhang, 2015 .

Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

Yichen Wei, Yuke Zhu, Yifan Sun, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions

Anima Anandkumar, Yuke Zhu, Zhiding Yu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors pdf

Yuke Zhu, Jeannette Bohg, Matthew Tan, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception

Yuke Zhu, Zhenyu Jiang, Cheng-Chun Hsu, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Visually Grounded Task and Motion Planning for Mobile Manipulation

P. Stone, Yuke Zhu, Shiqi Zhang, 2022, 2022 International Conference on Robotics and Automation (ICRA).

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition

Juan Carlos Niebles, Li Fei-Fei, Yuke Zhu, 2020, ECCV.

Few-View Object Reconstruction with Unknown Categories and Camera Poses

K. Grauman, Yuke Zhu, Zhenyu Jiang, 2022, ArXiv.

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

S. Savarese, L. Guibas, Anima Anandkumar, 2022, Robotics: Science and Systems.

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions pdf

Shimon Whiteson, Jean Kossaifi, Animashree Anandkumar, 2021, ArXiv.

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization

Joseph J. Lim, Yuke Zhu, Anima Anandkumar, 2021, CoRL.

Regression Planning Networks

Silvio Savarese, Fei-Fei Li, Danfei Xu, 2019, NeurIPS.

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning

Ankit B. Patel, Anima Anandkumar, Yuke Zhu, 2020, NeurIPS.

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning

M. Shoeybi, Bryan Catanzaro, Anima Anandkumar, 2023, ArXiv.

Voyager: An Open-Ended Embodied Agent with Large Language Models

Yuke Zhu, Anima Anandkumar, Anima Anandkumar, 2023, ArXiv.

Action Recognition by Hierarchical Mid-Level Action Elements

Silvio Savarese, Yuke Zhu, Amir Roshan Zamir, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Risk Assessment of Nonpoint Source Pollution in the Huaihe River Basin

Yuke Zhu, Xitian Cai, Luyi Li, 2022, Water.

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion pdf

Byron Boots, Yuke Zhu, Xingye Da, 2020, CoRL.

VIMA: General Robot Manipulation with Multimodal Prompts

Li Fei-Fei, Anima Anandkumar, Linxi (Jim) Fan, 2022, ArXiv.

R EL V I T: C ONCEPT - GUIDED V ISION T RANSFORMER FOR V ISUAL R ELATIONAL R EASONING

Song-Chun Zhu, Anima Anandkumar, Yuke Zhu, 2022 .

Knowledge Acquisition for Visual Question Answering via Iterative Querying

Li Fei-Fei, Yuke Zhu, Joseph J. Lim, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Description of a New Species of Dascillus Latreille from China (Coleoptera: Dascillidae)

Yuke Zhu, Zhenyu Jin, G. Xie, 2017, Annales Zoologici.

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation

Jure Leskovec, Yuke Zhu, Anima Anandkumar, 2020, UAI.

The Method of Upper and Lower Solutions to Impulsive Differential Equation with Sturm–Liouville Integral Boundary Conditions

Yuke Zhu, H. Pang, Mengyang Cui, 2018, Differential Equations and Dynamical Systems.

Discovering Generalizable Skills via Automated Generation of Diverse Tasks pdf

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2021, Robotics: Science and Systems.

Adaptive Procedural Task Generation for Hard-Exploration Problems pdf

Silvio Savarese, Li Fei-Fei, Yuke Zhu, 2020, ICLR.

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects pdf

Yuke Zhu, Animesh Garg, Animashree Anandkumar, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition

P. Stone, Anima Anandkumar, Qiang Liu, 2021, ICML.

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment

Yuke Zhu, Huihan Liu, Zhiyao Bao, 2022, Robotics: Science and Systems.

Existence and uniqueness results for a coupled fractional order systems with the multi-strip and multi-point mixed boundary conditions

Yuke Zhu, H. Pang, Mengyang Cui, 2017 .

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids

Charles T. Loop, Yuke Zhu, Anima Anandkumar, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Graphical Model-Based Learning in High Dimensional Feature Spaces

Yuke Zhu, Zhao Song, Yuke Zhu, 2013, AAAI.

Digital economy and carbon rebound effect: Evidence from Chinese cities

Yuke Zhu, M. Lan, 2023, Energy Economics.

Digital infrastructure construction, carbon total factor productivity, and carbon rebound effect

Yuke Zhu, M. Lan, 2023, Environmental Science and Pollution Research.

Granger-Causal Hierarchical Skill Discovery

Yuke Zhu, S. Niekum, Caleb Chuck, 2023, ArXiv.

VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation

P. Stone, Yuke Zhu, Yifeng Zhu, 2022, Conference on Robot Learning.

VIMA: Robot Manipulation with Multimodal Prompts

Anima Anandkumar, Linxi (Jim) Fan, Agrim Gupta, 2023, ICML.

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning pdf

Silvio Savarese, Fei-Fei Li, Yuke Zhu, 2019, ArXiv.

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning

P. Stone, Yuke Zhu, Yuqian Jiang, 2023, ArXiv.

Vicus: Exploiting local structures to improve network-based analysis of biological data

Bo Wang, Lin Huang, Yuke Zhu, 2017, PLoS Comput. Biol..

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play

Li Fei-Fei, Anima Anandkumar, Linxi (Jim) Fan, 2023, CoRL.

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Li Fei-Fei, S. Savarese, Animesh Garg, 2018, CoRL.

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning

Juan Carlos Niebles, S. Savarese, Animesh Garg, 2019, IEEE/RJS International Conference on Intelligent RObots and Systems.

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

Yuke Zhu, Huihan Liu, Soroush Nasiriany, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

L. Sentis, Yuke Zhu, Yifeng Zhu, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow

Yuke Zhu, Hanwen Jiang, Zhenyu Jiang, 2023, ArXiv.

Deep Imitation Learning for Humanoid Loco-manipulation Through Human Teleoperation

Yuke Zhu, S. Bang, Luis Sentis, 2023, 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids).

Few-View Object Reconstruction with Unknown Categories and Camera Poses

K. Grauman, Yuke Zhu, Zhenyu Jiang, 2022, ArXiv.

Spherical Feature Transform for Deep Metric Learning

Yichen Wei, Yuke Zhu, Yan Bai, 2020, ECCV.

MUTEX: Learning Unified Policies from Multimodal Task Specifications

Yuke Zhu, Rutav Shah, Roberto Mart'in-Mart'in, 2023, CoRL.