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 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 at Microsoft Research Asia (MSRA). My research focuses on machine learning and computer vision, in particular deep learning, resource-efficient learning and unsupervised learning. (C.V.)
Recent Publications & Preprints
Memory-Efficient Implementation of DenseNets
Geoff Pleiss*, Danlu Chen*, Gao Huang, Tongcheng Li, Laurens van der Maaten, Kilian Q. Weinberger Technical Report 2017
Multi-Scale Dense Convolutional Networks for Efficient Prediction
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
Learning Efficient Convolutional Networks through Network Slimming
[Talk] [Slides] Densely Connected Convolutional Networks
Gao Huang*, Zhuang Liu*, Laurens van der Maaten, Kilian Weinberger
Snapshot Ensembles: Train 1, Get M for Free
[Talk] Supervised Word Mover's Distance
Gao Huang*, Chuan Guo*, Matt Kusner, Yu Sun, Fei Sha, Kilian Weinberger
Neural Information Processing Systems (NIPS Oral Presentation) 2016
[POSTER] Deep Networks with Stochastic Depth
Gao Huang*, Yu Sun*, Zhuang Liu, Daniel Sedra, Kilian Weinberger
European Conference on Computer Vision (ECCV Spotlight) 2016
(This paper was recommended as an Oral at NIPS 2016 Deep Learning Symposium) [Talk]
I am a Senior Program Committee (SPC) member of AAAI 2018.
Reviewer for JMLR, Machine Learning, TPAMI, TIP, TKDE, TNNLS, ...
Reviewer for NIPS, ICML, ICCV, AAAI, AISTATS, ...