Zhiao Huang - RankMe

52 papers A* 16Misc 2Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models. CoRR Yilin Wang, Shangzhe Li, Haoyi Niu, Zhiao Huang, Weitong Zhang, Hao Su
2025	J	`jnl`	Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning. CoRR Shangzhe Li, Zhiao Huang, Hao Su
2025	J	`jnl`	Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation. CoRR Tongxuan Tian, Haoyang Li, Bo Ai, Xiaodi Yuan, Zhiao Huang, Hao Su
2025	A*	`conf`	Reward-free World Models for Online Imitation Learning. ICML Shangzhe Li, Zhiao Huang, Hao Su
2024	A*	`conf`	Chain-of-Thought Predictive Control. ICML Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su
2024	J	`jnl`	ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. CoRR 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
2024	—	`—`	Modeling-based Optimization for Robotic Manipulation Zhiao Huang
2024	A*	`conf`	MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. ICLR Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su
2024	J	`jnl`	Reward-free World Models for Online Imitation Learning. CoRR Shangzhe Li, Zhiao Huang, Hao Su
2024	J	`jnl`	RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. Int. J. Robotics Res. Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
2023	A*	`conf`	Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. ICML Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
2023	J	`jnl`	Chain-of-Thought Predictive Control. CoRR Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su
2023	J	`jnl`	Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. IEEE Trans. Robotics 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
2023	A*	`conf`	Deductive Verification of Chain-of-Thought Reasoning. NeurIPS Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
2023	J	`jnl`	Deductive Verification of Chain-of-Thought Reasoning. CoRR Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
2023	A*	`conf`	DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. ICLR Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
2023	J	`jnl`	DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. CoRR Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
2023	A*	`conf`	DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. NeurIPS Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan
2023	J	`jnl`	DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. CoRR Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan
2023	A*	`conf`	ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. ICLR 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
2023	J	`jnl`	ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. CoRR 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
2023	J	`jnl`	MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. CoRR Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su
2023	A*	`conf`	Reparameterized Policy Learning for Multimodal Trajectory Optimization. ICML Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su
2023	J	`jnl`	Reparameterized Policy Learning for Multimodal Trajectory Optimization. CoRR Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su
2023	J	`jnl`	Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset. CoRR Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su
2023	—	`conf`	RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. Robotics: Science and Systems Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song
2023	J	`jnl`	RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. CoRR Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song
2022	J	`jnl`	Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. CoRR Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
2022	J	`jnl`	Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. CoRR 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
2022	A*	`conf`	Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. ICLR Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
2022	J	`jnl`	Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. CoRR Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan
2022	A*	`conf`	DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan
2022	J	`jnl`	DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan
2022	Misc	`conf`	Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRL Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint
2022	J	`jnl`	Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRR Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint
2022	Misc	`conf`	Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
2022	J	`jnl`	Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
2022	—	`conf`	RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. Robotics: Science and Systems Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
2022	J	`jnl`	RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. CoRR Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
2021	—	`conf`	ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations. NeurIPS Datasets and Benchmarks Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
2021	J	`jnl`	ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills. CoRR Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
2021	A*	`conf`	PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. ICLR Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan
2021	J	`jnl`	PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. CoRR Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan
2020	A*	`conf`	Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
2020	J	`jnl`	Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
2020	A*	`conf`	Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
2020	J	`jnl`	Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks. CoRR Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
2019	A*	`conf`	Mapping State Space using Landmarks for Universal Goal Reaching. NeurIPS Zhiao Huang, Fangchen Liu, Hao Su
2019	J	`jnl`	Mapping State Space using Landmarks for Universal Goal Reaching. CoRR Zhiao Huang, Fangchen Liu, Hao Su
2018	A*	`conf`	Object-Oriented Dynamics Predictor. NeurIPS Guangxiang Zhu, Zhiao Huang, Chongjie Zhang
2017	—	`conf`	Associative Embedding: End-to-End Learning for Joint Detection and Grouping. NIPS Alejandro Newell, Zhiao Huang, Jia Deng
2015	J	`jnl`	Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression. CoRR Zhiao Huang, Erjin Zhou, Zhimin Cao