Gao   Huang


I am currently a Postdoctoral Fellow in the Department of Computer Science at Cornell University, advised by Prof. Kilian Weinberger. I received my Ph.D. degree from the Department of Automation at Tsinghua University in 2015, under the supervision of Prof. Cheng Wu and Prof. Shiji Song. From March 2014 to September 2014, I had an internship in the Machine Learning Group of Microsoft Research Beijing (MSRA). My research focuses on machine learning and its applications, in particular metric learning, deep learning and discriminative clustering.

Recent Publications

  • [PDF] [CODE] Densely Connected Convolutional Networks (Preprint)
    Gao Huang*, Zhuang Liu*, Kilian Weinberger.
  • [PDF] [CODE] Snapshot Ensembles: Train 1, Get M for Free (Preprint)
    Gao Huang*, Yixuan Li*, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Weinberger
  • [PDF] [CODE] Supervised Word Mover's Distance
    Gao Huang*, Chuan Guo*, Matt Kusner, Yu Sun, Fei Sha, Kilian Weinberger.
    Neural Information Processing Systems (NIPS Oral) 2016
  • [PDF] [CODE][POSTER] Deep Networks with Stochastic Depth
    Gao Huang*, Yu Sun*, Zhuang Liu, Daniel Sedra, Kilian Weinberger.
    European Conference on Computer Vision (ECCV Spotlight) 2016
  • * Equal Contribution