Zhiao Huang

According to our database, Zhiao Huang authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Int. J. Robotics Res., 2024

Reward-free World Models for Online Imitation Learning.

Shangzhe Li, Zhiao Huang, Hao Su

CoRR, 2024

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.

Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao, Xinsong Lin, Yulin Liu, Tse-kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su

CoRR, 2024

Chain-of-Thought Predictive Control.

Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field.

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation.

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

IEEE Trans. Robotics, June, 2023

Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset.

Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su

CoRR, 2023

RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects.

Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Deductive Verification of Chain-of-Thought Reasoning.

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics.

Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization.

Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

Proceedings of the International Conference on Machine Learning, 2023

Reparameterized Policy Learning for Multimodal Trajectory Optimization.

Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

Proceedings of the International Conference on Machine Learning, 2023

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.

Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation.

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

CoRR, 2022

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics.

Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 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, David Held

Proceedings of the Conference on Robot Learning, 2022

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.

Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint

Proceedings of the Conference on Robot Learning, 2022

2021

ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.

Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

CoRR, 2021

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.

Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks.

Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

CoRR, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs.

Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories.

Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Mapping State Space using Landmarks for Universal Goal Reaching.

Zhiao Huang, Fangchen Liu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Object-Oriented Dynamics Predictor.

Guangxiang Zhu, Zhiao Huang, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Associative Embedding: End-to-End Learning for Joint Detection and Grouping.

Alejandro Newell, Zhiao Huang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression.

Zhiao Huang, Erjin Zhou, Zhimin Cao

CoRR, 2015