Minghao Zhang

I am a proprietary trader. During my undergraduate at Tsinghua University, I am lucky to work at UC San Diego (Xiaolong Wang's Lab), UC Berkeley (Koushil Sreenath's Lab), Tsinghua IIIS (Chongjie Zhang's Lab) and TuSimple. My research interest mainly lies in (deep) robotic learning, including reinforcement learning, legged locomotion, sim2real, and 3D vision.

Email: mehoozhang at gmail dot com

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Publications

(* indicates equal contribution or alphabetical order)

Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization

[webpage] [arxiv] [code]

Chiekio Sarah Imai*, Minghao Zhang*, Yuchen Zhang*, Marcin Kierebiński, Ruihan Yang, Yuzhe Qin, Xiaolong Wang (*ordered alphabetically)

(IROS 2022)

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers

[webpage] [arxiv] [code]

Ruihan Yang*, Minghao Zhang*, Nicklas Hansen, Huazhe Xu, Xiaolong Wang

(ICLR 2022 spotlight)

DAIR: Disentangled Attention as Intrinsic Regularization for Collaborative Bimanual Manipulation

[webpage] [arxiv]

Minghao Zhang*, Pingcheng Jian*, Yi Wu, Huazhe Xu, Xiaolong Wang

(ICML 2021 workshop)

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

[arxiv] [code]

Minghao Zhang*, Guangxiang Zhu*, Honglak Lee, Chongjie Zhang

(NeurIPS 2020)

Tianshou: An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform

[code] [arxiv] [media news in Chinese]

Jiayi Weng*, Huayu Chen*, Yan Dong, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu

(JMLR 2022)

View-Aware Joint Structure-Geometry Learning for Single-View 3D Shape Reconstruction [paper]

Xuancheng Zhang*, Rui Ma*, Changqing Zou, Minghao Zhang, Xibin Zhao, Yue Gao

(TPAMI 2021)

Services

Reviewer for RA-L, ICML 2022, NeurIPS 2022, ICRA 2023

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