Gao Huang is an Associate Professor affiliated with the Department of Automation at Tsinghua University. He obtained the PhD degree in machine learning from Tsinghua in 2015, and spent three years at Cornell University as a postdoc. His research interests lie in machine learning and computer vision. In particular, he is actively working on efficient deep learning, dynamic neural networks, learning with limited data and reinforcement learning. His work on DenseNet won the Best Paper Award of CVPR (2017) and has collected more than 55,000 citations according to Google Scholar. (C.V.)
For students who are interested in joining our lab (PhD/Mater/Intern/Postdoc), please contact me via gaohuang AT tsinghua.edu.cn.
For international students, please check HERE for available scholarships. For postdocs, please check HERE.
Undergraduate students at Cornell:
Yu Sun (2015-2016; now PhD student at Berkeley) Zhuang Liu (2016-2017; now at Meta AI Research) Danlu Chen (2017-2018; now PhD student at UCSD) Tianhong Li (2017; now PhD student at MIT) Ruihan Wu (2017; now PhD student at Cornell) Shichen Liu (2017; now at Google) Xu Zou (2017; now PhD student at THU)
Yanyi Liu (2018; now PhD student at Cornell)
Ruojin Cai (2018; now PhD student at Cornell) Tao Yu (2018; now PhD student at Cornell) Zihang Lai (2018; now PhD student at CMU)
Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (2023-).
Associate Editor, IEEE Transactions on Big Data (2021-).
Associate Editor, Pattern Recognition (2022-).
Area Chair of NeurIPS(2023, 2022), ICCV(2023), ICML(2022), UAI(2022), CVPR(2021).
Senior Program Committee (SPC) member of AAAI (2018, 2020), IJCAI (2021).