Zhiao Huang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Object Manipulation

Associative Learning

Top Venues

Publications

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. ICLR (2024)
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. Int. J. Robotics Res. 43 (4) (2024)
Xiaoshuai Zhang, Rui Chen, Ang Li, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. IEEE Trans. Robotics 39 (3) (2023)
Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. NeurIPS (2023)
Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. CoRR (2023)
Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
Deductive Verification of Chain-of-Thought Reasoning. NeurIPS (2023)
Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su
Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset. CoRR (2023)
Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su
Chain-of-Thought Predictive Control. CoRR (2023)
Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. CoRR (2023)
Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
Deductive Verification of Chain-of-Thought Reasoning. CoRR (2023)
Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. CoRR (2023)
Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. ICLR (2023)
Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. CoRR (2023)
Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. ICLR (2023)
Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. Robotics: Science and Systems (2023)
Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. ICML (2023)
Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su
Reparameterized Policy Learning for Multimodal Trajectory Optimization. CoRR (2023)
Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. CoRR (2023)
Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su
Reparameterized Policy Learning for Multimodal Trajectory Optimization. ICML (2023)
Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. ICLR (2022)
Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR (2022)
Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR (2022)
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. CoRR (2022)
Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. CoRR (2022)
Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR (2022)
Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRL (2022)
Xiaoshuai Zhang, Rui Chen, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. CoRR (2022)
Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. CoRR (2022)
Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL (2022)
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. Robotics: Science and Systems (2022)
Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRR (2022)
Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. ICLR (2021)
Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. CoRR (2021)
Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations. NeurIPS Datasets and Benchmarks (2021)
Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills. CoRR (2021)
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS (2020)
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks. CoRR (2020)
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR (2020)
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR (2020)
Zhiao Huang, Fangchen Liu, Hao Su
Mapping State Space using Landmarks for Universal Goal Reaching. NeurIPS (2019)
Zhiao Huang, Fangchen Liu, Hao Su
Mapping State Space using Landmarks for Universal Goal Reaching. CoRR (2019)
Guangxiang Zhu, Zhiao Huang, Chongjie Zhang
Object-Oriented Dynamics Predictor. NeurIPS (2018)
Alejandro Newell, Zhiao Huang, Jia Deng
Associative Embedding: End-to-End Learning for Joint Detection and Grouping. NIPS (2017)
Zhiao Huang, Erjin Zhou, Zhimin Cao
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression. CoRR (2015)