Zhiao Huang (黄志翱)

Ph.D. Student, CSE, UCSD

z2huang [at] ucsd (dot) edu

Research Topics

Short Bio

I am currently a sixth-year Ph.D. student advised by Prof. Hao Su at the Computer Science & Engineering (CSE), University of California, San Diego. My general research interests cover reinforcement learning, generative models, robotics and soft body manipulation.

I have got my bachelor's degree at Tsinghua University, where I worked at the Machine Intelligence Group, advised by Prof. Chongjie Zhang. I spent most of my time being an intern at Megvii Inc. (Face++). During the spring of 2017, I was a visiting student at the University of Michigan, advised by Prof. Jia Deng. I was a summer intern at MIT-IBM Watson AI Lab working with Chuang Gan from 2020 to 2022.

Education

Publication

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

       International Conference on Machine Learning 2023 oral

       [project page]

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

      International Conference on Machine Learning 2023

      [project page]

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

Robotics: Science and Systems 2022

[project page]

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

International Conference on Learning Representations (ICLR), 2023 (Spotlight)

[project page]

Xingyu Lin, Carl Qi, Yunchu Zhang, Yunzhu Li, Zhiao Huang, Katerina Fragkiadaki, Chuang Gan, David Held

Conference on Robot Learning (CoRL) 2022

[project page]

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

Conference on Robot Learning (CoRL) 2022

[arxiv]

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

      Robotics: Science and Systems (RSS), 2022.

      [code] [project page]

      Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B Tenenbaum, David Held, Chuang Gan

      International Conference on Learning Representations (ICLR), 2022.

      [paper]

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

      International Conference on Learning Representations (ICLR), 2022 (Spotlight).

      [paper]

Zhiao Huang, Xiaochen Li and Hao Su

RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control

[paper]

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

[paper]

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

International Conference on Learning Representations (ICLR), 2021 (Spotlight) .

[paper] [project page]

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

Neural Information Processing Systems (NeurIPS), 2020.

[paper]

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

International Conference on Learning Representations (ICLR), 2020.

[paper]

Zhiao Huang*, Fangchen* Liu, Hao Su

Neural Information Processing Systems (NeurIPS), 2019.

[paper]

Guangxiang Zhu, Zhiao Huang, Chongjie Zhang 

Neural Information Processing Systems (NeurIPS), 2018.

[paper]

Alejandro Newell, Zhiao Huang, Jia Deng

Neural Information Processing Systems (NIPS), 2017.

[paper]

I know nothing, so I borrow wisdom from the past and the future.