Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression. - Zhiao Huang; Erjin Zhou; Zhimin Cao (CoRR, 2015)

Associative Embedding: End-to-End Learning for Joint Detection and Grouping. - Alejandro Newell; Zhiao Huang; Jia Deng 001 (NIPS, 2017)

Object-Oriented Dynamics Predictor. - Guangxiang Zhu; Zhiao Huang; Chongjie Zhang (NeurIPS, 2018)

Mapping State Space using Landmarks for Universal Goal Reaching. - Zhiao Huang; Fangchen Liu; Hao Su 001 (NeurIPS, 2019)

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 001; Hao Su 001 (ICLR, 2020)

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. - Hao Tang 008; Zhiao Huang; Jiayuan Gu; Bao-Liang Lu; Hao Su 001 (NeurIPS, 2020)

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks. - Hao Tang 008; Zhiao Huang; Jiayuan Gu; Bao-Liang Lu; Hao Su 001 (CoRR, 2020)

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. - Zhiao Huang; Yuanming Hu; Tao Du 001; Siyuan Zhou; Hao Su 001; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 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 001 (NeurIPS Datasets and Benchmarks, 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 001 (CoRR, 2021)

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)

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. - Sizhe Li; Zhiao Huang; Tao Du 001; Hao Su 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)

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)

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. - Xiaoshuai Zhang; Rui Chen 019; Fanbo Xiang; Yuzhe Qin; Jiayuan Gu; Zhan Ling; Minghua Liu; Peiyu Zeng; Songfang Han; Zhiao Huang; Tongzhou Mu; Jing Xu 011; et al. (CoRR, 2022)

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; et al. (ICLR, 2023)

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. - Sizhe Li; Zhiao Huang; Tao Chen 046; Tao Du 001; Hao Su 001; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2023)

Reparameterized Policy Learning for Multimodal Trajectory Optimization. - Zhiao Huang; Litian Liang; Zhan Ling; Xuanlin Li; Chuang Gan 001; Hao Su 001 (ICML, 2023)

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. - Stone Tao; Xiaochen Li; Tongzhou Mu; Zhiao Huang; Yuzhe Qin; Hao Su 001 (ICML, 2023)

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. - Zhiao Huang; Feng Chen; Yewen Pu; Chunru Lin; Hao Su 001; Chuang Gan 001 (NeurIPS, 2023)

Deductive Verification of Chain-of-Thought Reasoning. - Zhan Ling; Yunhao Fang; Xuanlin Li; Zhiao Huang; Mingu Lee; Roland Memisevic; Hao Su 001 (NeurIPS, 2023)

RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. - Zhenjia Xu; Zhou Xian; Xingyu Lin; Cheng Chi; Zhiao Huang; Chuang Gan 001; Shuran Song (Robotics: Science and Systems, 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 001 (CoRR, 2023)

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. - Xiaoshuai Zhang; Rui Chen 019; Ang Li 010; Fanbo Xiang; Yuzhe Qin; Jiayuan Gu; Zhan Ling; Minghua Liu; Peiyu Zeng; Songfang Han; Zhiao Huang; Tongzhou Mu; et al. (IEEE Trans. Robotics, 2023)

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. - Kaizhi Yang; Xiaoshuai Zhang; Zhiao Huang; Xuejin Chen; Zexiang Xu; Hao Su 001 (ICLR, 2024)

Chain-of-Thought Predictive Control. - Zhiwei Jia; Vineet Thumuluri; Fangchen Liu; Linghao Chen; Zhiao Huang; Hao Su 001 (ICML, 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; et al. (CoRR, 2024)

Reward-free World Models for Online Imitation Learning. - Shangzhe Li; Zhiao Huang; Hao Su 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)

Modeling-based Optimization for Robotic Manipulation - Zhiao Huang (2024)

Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation. - Tongxuan Tian; Haoyang Li; Bo Ai 008; Xiaodi Yuan; Zhiao Huang; Hao Su 001 (CoRR, 2025)

Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning. - Shangzhe Li; Zhiao Huang; Hao Su 001 (CoRR, 2025)