Face Detection with End-to-End Integration of a ConvNet and a 3D Model. - Yunzhu Li; Benyuan Sun; Tianfu Wu 001; Yizhou Wang 001 (ECCV (3), 2016)

Face Detection with End-to-End Integration of a ConvNet and a 3D Model. - Yunzhu Li; Benyuan Sun; Tianfu Wu 001; Yizhou Wang 001; Wen Gao 001 (CoRR, 2016)

Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning. - Yunzhu Li; Andre Esteva; Brett Kuprel; Roberto A. Novoa; Justin Ko; Sebastian Thrun (AAAI Workshops, 2017)

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations. - Yunzhu Li; Jiaming Song; Stefano Ermon (NIPS, 2017)

Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs. - Yunzhu Li; Jiaming Song; Stefano Ermon (CoRR, 2017)

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks. - Meiyan Xie; Yunzhu Li; Yunzhe Xue; Randy Shafritz; Saum A. Rahimi; Justin W. Ady; Usman W. Roshan (BIBM, 2019)

Connecting Touch and Vision via Cross-Modal Prediction. - Yunzhu Li; Jun-Yan Zhu; Russ Tedrake; Antonio Torralba 001 (CVPR, 2019)

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. - Yunzhu Li; Jiajun Wu 001; Russ Tedrake; Joshua B. Tenenbaum; Antonio Torralba 001 (ICLR (Poster), 2019)

Propagation Networks for Model-Based Control Under Partial Observation. - Yunzhu Li; Jiajun Wu 001; Jun-Yan Zhu; Joshua B. Tenenbaum; Antonio Torralba 001; Russ Tedrake (ICRA, 2019)

Learning the signatures of the human grasp using a scalable tactile glove. - Subramanian Sundaram; Petr Kellnhofer; Yunzhu Li; Jun-Yan Zhu; Antonio Torralba 001; Wojciech Matusik (Nat., 2019)

Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning. - Lucas Manuelli; Yunzhu Li; Peter R. Florence; Russ Tedrake (CoRL, 2020)

Learning Compositional Koopman Operators for Model-Based Control. - Yunzhu Li; Hao He 011; Jiajun Wu 001; Dina Katabi; Antonio Torralba 001 (ICLR, 2020)

CLEVRER: Collision Events for Video Representation and Reasoning. - Kexin Yi; Chuang Gan 001; Yunzhu Li; Pushmeet Kohli; Jiajun Wu 001; Antonio Torralba 001; Joshua B. Tenenbaum (ICLR, 2020)

Visual Grounding of Learned Physical Models. - Yunzhu Li; Toru Lin; Kexin Yi; Daniel Bear; Daniel Yamins; Jiajun Wu 001; Joshua B. Tenenbaum; Antonio Torralba 001 (ICML, 2020)

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images. - Meiyan Xie; Yunzhu Li; Yunzhe Xue; Lauren Huntress; William Beckerman; Saum A. Rahimi; Justin W. Ady; Usman W. Roshan (ICMLA, 2020)

Learning Physical Graph Representations from Visual Scenes. - Daniel Bear; Chaofei Fan; Damian Mrowca; Yunzhu Li; Seth Alter; Aran Nayebi; Jeremy Schwartz; Li Fei-Fei 001; Jiajun Wu 001; Josh Tenenbaum 001; Daniel L. K. Yamins (NeurIPS, 2020)

Causal Discovery in Physical Systems from Videos. - Yunzhu Li; Antonio Torralba 001; Anima Anandkumar; Dieter Fox; Animesh Garg (NeurIPS, 2020)

Deep Learning for Nanofluid Field Reconstruction in Experimental Analysis. - Tianyuan Liu; Yunzhu Li; Yonghui Xie; Di Zhang (IEEE Access, 2020)

3D Neural Scene Representations for Visuomotor Control. - Yunzhu Li; Shuang Li 013; Vincent Sitzmann; Pulkit Agrawal 001; Antonio Torralba 001 (CoRL, 2021)

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals. - Yiyue Luo; Yunzhu Li; Michael Foshey; Wan Shou; Pratyusha Sharma; Tomás Palacios; Antonio Torralba 001; Wojciech Matusik (CVPR, 2021)

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. - Qiang Zhang; Yunzhu Li; Yiyue Luo; Wan Shou; Michael Foshey; Junchi Yan; Joshua B. Tenenbaum; Wojciech Matusik; Antonio Torralba 001 (IROS, 2021)

Discrete Approximate Information States in Partially Observable Environments. - Lujie Yang; Kaiqing Zhang; Alexandre Amice; Yunzhu Li; Russ Tedrake (ACC, 2022)

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. - Danny Driess; Zhiao Huang; Yunzhu Li; Russ Tedrake; Marc Toussaint (CoRL, 2022)

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. - Xingyu Lin; Carl Qi; Yunchu Zhang; Zhiao Huang; Katerina Fragkiadaki; Yunzhu Li; Chuang Gan 001; David Held (CoRL, 2022)

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. - Zhenfang Chen; Kexin Yi; Yunzhu Li; Mingyu Ding; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2022)

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. - Xingyu Lin; Zhiao Huang; Yunzhu Li; Joshua B. Tenenbaum; David Held; Chuang Gan 001 (ICLR, 2022)

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment. - Joseph DelPreto; Chao Liu 021; Yiyue Luo; Michael Foshey; Yunzhu Li; Antonio Torralba 001; Wojciech Matusik; Daniela Rus (NeurIPS, 2022)

Reinforcement Learning with Neural Radiance Fields. - Danny Driess; Ingmar Schubert; Pete Florence; Yunzhu Li; Marc Toussaint (NeurIPS, 2022)

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. - Haochen Shi; Huazhe Xu; Zhiao Huang; Yunzhu Li; Jiajun Wu 001 (Robotics: Science and Systems, 2022)

Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision? - Lirui Wang; Kaiqing Zhang; Yunzhu Li; Yonglong Tian; Russ Tedrake (CoRR, 2022)

Learning Structured World Models From and For Physical Interactions - Yunzhu Li (2022)

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. - Haonan Chen; Yilong Niu; Kaiwen Hong; Shuijing Liu; Yixuan Wang 003; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRL, 2023)

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. - Wenlong Huang; Chen Wang 053; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2023)

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. - Haochen Shi; Huazhe Xu; Samuel Clarke; Yunzhu Li; Jiajun Wu 001 (CoRL, 2023)

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CVPR, 2023)

Multi-Object Manipulation via Object-Centric Neural Scattering Functions. - Stephen Tian; Yancheng Cai; Hong-Xing Yu; Sergey Zakharov; Katherine Liu; Adrien Gaidon; Yunzhu Li; Jiajun Wu 001 (CVPR, 2023)

Research on the Design of Weighing Scale Based on Health Management During Pregnancy. - Yunzhu Li; Rongrong Fu (HCI (24), 2023)

Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? - Lirui Wang; Kaiqing Zhang; Yunzhu Li; Yonglong Tian; Russ Tedrake (ICLR, 2023)

Model-Based Control with Sparse Neural Dynamics. - Ziang Liu 008; Genggeng Zhou; Jeff He; Tobia Marcucci; Fei-Fei Li 001; Jiajun Wu 001; Yunzhu Li (NeurIPS, 2023)

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. - Haotian Xue; Antonio Torralba 001; Josh Tenenbaum 001; Dan Yamins; Yunzhu Li; Hsiao-Yu Tung (NeurIPS, 2023)

Dynamic-Resolution Model Learning for Object Pile Manipulation. - Yixuan Wang 003; Yunzhu Li; Katherine Driggs-Campbell; Li Fei-Fei 001; Jiajun Wu 001 (Robotics: Science and Systems, 2023)

Partial-View Object View Synthesis via Filtered Inversion. - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; et al. (CoRR, 2023)

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CoRR, 2023)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. - Yixuan Wang 003; Zhuoran Li; Mingtong Zhang; Katherine Rose Driggs-Campbell; Jiajun Wu 001; Li Fei-Fei 001; Yunzhu Li (CoRR, 2023)

Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System. - Junfang Bao; Jianli Li; Chunyu Qu; Yunzhu Li (Remote. Sens., 2023)

Algorithms and Systems for Manipulating Multiple Objects. - Zherong Pan; Andy Zeng 001; Yunzhu Li; Jingjin Yu; Kris Hauser (IEEE Trans. Robotics, 2023)

Partial-View Object View Synthesis via Filtering Inversion. - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; et al. (3DV, 2024)

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. - Hanxiao Jiang 001; Binghao Huang; Ruihai Wu; Zhuoran Li; Shubham Garg; Hooshang Nayyeri; Shenlong Wang; Yunzhu Li (CoRL, 2024)

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. - Wenlong Huang; Chen Wang 053; Yunzhu Li; Ruohan Zhang; Li Fei-Fei 001 (CoRL, 2024)

3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing. - Binghao Huang; Yixuan Wang; Xinyi Yang; Yiyue Luo; Yunzhu Li (CoRL, 2024)

GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy. - Yixuan Wang; Guang Yin; Binghao Huang; Tarik Kelestemur; Jiuguang Wang; Yunzhu Li (CoRL, 2024)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement. - Yixuan Wang 003; Mingtong Zhang; Zhuoran Li; Tarik Kelestemur; Katherine Rose Driggs-Campbell; Jiajun Wu 001; Li Fei-Fei 001; Yunzhu Li (CoRL, 2024)

Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling. - Mingtong Zhang; Kaifeng Zhang; Yunzhu Li (CoRL, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 001; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CVPR, 2024)

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. - Licheng Zhong; Hong-Xing Yu; Jiajun Wu 001; Yunzhu Li (ECCV (2), 2024)

Executable Code Actions Elicit Better LLM Agents. - Xingyao Wang 002; Yangyi Chen; Lifan Yuan; Yizhe Zhang 002; Yunzhu Li; Hao Peng 009; Heng Ji 001 (ICML, 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)

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. - Bo Ai 008; Stephen Tian; Haochen Shi; Yixuan Wang 003; Cheston Tan; Yunzhu Li; Jiajun Wu 001 (Robotics: Science and Systems, 2024)

AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation. - Kaifeng Zhang; Baoyu Li; Kris Hauser; Yunzhu Li (Robotics: Science and Systems, 2024)

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Wensi Ai; Benjamin Jose Martinez; Hang Yin 010; Michael Lingelbach; et al. (CoRR, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 002; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CoRR, 2024)

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics. - Keyi Shen; Jiangwei Yu; Huan Zhang; Yunzhu Li (CoRR, 2024)

EscapeBench: Pushing Language Models to Think Outside the Box. - Cheng Qian 008; Peixuan Han; Qinyu Luo; Bingxiang He; Xiusi Chen; Yuji Zhang 002; Hongyi Du; Jiarui Yao; Xiaocheng Yang; Denghui Zhang; Yunzhu Li; Heng Ji 001 (CoRR, 2024)

RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. - Haochen Shi; Huazhe Xu; Zhiao Huang; Yunzhu Li; Jiajun Wu 001 (Int. J. Robotics Res., 2024)

Learning Structured World Models From and For Physical Interactions. - Yunzhu Li (AAAI, 2025)

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. - Cheng Qian 008; Peixuan Han; Qinyu Luo; Bingxiang He; Xiusi Chen; Yuji Zhang 002; Hongyi Du; Jiarui Yao; Xiaocheng Yang; Denghui Zhang; Yunzhu Li; Heng Ji 001 (ACL (1), 2025)

PhysGen3D: Crafting a Miniature Interactive World from a Single Image. - Boyuan Chen; Hanxiao Jiang 001; Shaowei Liu; Saurabh Gupta; Yunzhu Li; Hao Zhao; Shenlong Wang (CVPR, 2025)

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics. - Keyi Shen; Jiangwei Yu; Jose A. Barreiros; Huan Zhang; Yunzhu Li (ICLR, 2025)

CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph. - Yixuan Wang; Leonor Fermoselle; Tarik Kelestemur; Jiuguang Wang; Yunzhu Li (CoRR, 2025)

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. - Shivansh Patel; Xinchen Yin; Wenlong Huang; Shubham Garg; Hooshang Nayyeri; Li Fei-Fei 001; Svetlana Lazebnik; Yunzhu Li (CoRR, 2025)

KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation. - Zixian Liu; Mingtong Zhang; Yunzhu Li (CoRR, 2025)

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos. - Hanxiao Jiang 001; Hao-Yu Hsu; Kaifeng Zhang; Hsin-Ni Yu; Shenlong Wang; Yunzhu Li (CoRR, 2025)

Localized Graph-Based Neural Dynamics Models for Terrain Manipulation. - Chaoqi Liu; Yunzhu Li; Kris Hauser (CoRR, 2025)

Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models. - Haonan Chen; Jiaming Xu; Lily Sheng; Tianchen Ji; Shuijing Liu; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRR, 2025)

Tool-as-Interface: Learning Robot Policies from Human Tool Usage through Imitation Learning. - Haonan Chen; Cheng Zhu; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRR, 2025)

Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos. - Kaifeng Zhang; Baoyu Li; Kris Hauser; Yunzhu Li (CoRR, 2025)

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity. - Guang Yin; Yitong Li; Yixuan Wang; Dale McConachie; Paarth Shah; Kunimatsu Hashimoto; Huan Zhang; Katherine Liu; Yunzhu Li (CoRR, 2025)

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations. - Shivansh Patel; Shraddhaa Mohan; Hanlin Mai; Unnat Jain; Svetlana Lazebnik; Yunzhu Li (CoRR, 2025)

Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper. - Xinyue Zhu; Binghao Huang; Yunzhu Li (CoRR, 2025)

Compositional Physical Reasoning of Objects and Events From Videos. - Zhenfang Chen; Shilong Dong; Kexin Yi; Yunzhu Li; Mingyu Ding; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)