Gao Huang is an Assistant Professor affiliated with the Department of Automation at Tsinghua University. He obtained his 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 25,000 citations according to Google Scholar. (C.V.)
If you are interested in a position (PhD, postdoc or
intern) in my lab, please contact me via gaohuang at tsinghua dot edu dot 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; now PhD student at Berkeley) Danlu Chen (2017; 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 PhD student at USC) Xu Zou (2017; now PhD student at THU)
Yin Liu (2017; now PhD student at WISC)
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 undergraduate at Oxford)