Gao Huang


Assistant Professor
Department of Automation, Tsinghua University

Education

  • PhD, Tsinghua University
  • B.E., Beihang University

  • Research Experience

  • Postdoc, Cornell University, 10/2015 - 08/2018
  • Intern, Microsoft Research Asia, 04/2014 - 09/2014
  • Visiting Scholar, Nanyang Technological University, 02/2014 - 03/2014
  • Visiting Scholar, Washington University in St. Louis, 01/2013 - 07/2013

  • Research Interest

    I'm interested in machine learning and computer vision, in particular deep learning, resource-efficient learning and unsupervised learning. Our work on DenseNet won the Best Paper Award of CVPR (2017). (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.

    Recent Publications & Preprints (Google Scholar)

    Resolution Adaptive Networks for Efficient Inference. [code]
    Le Yang*, Yizeng Han*, Xi Chen*, Shiji Song, Jifeng Dai, Gao Huang.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR ) 2020.

    Convolutional Networks with Dense Connectivity. [code]
    Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens Van Der Maaten, Kilian Q. Weingerger.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI ) 2019.

    (Journal version of DenseNet; Deep understanding of dense connectivity.)


    Asymmetric Valleys: Beyond Sharp and Flat Local Minima. [code] [slides]
    Haowei He, Gao Huang, Yang Yuan.
    Neural Information Processing Systems (NeurIPS Spotlight) 2019.
    Implicit Semantic Data Augmentation for Deep Networks . [code]
    Yulin Wang*, Xuran Pan*, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang.
    Neural Information Processing Systems (NeurIPS) 2019.

    Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. [code] [poster]
    Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang.
    Neural Information Processing Systems (NeurIPS) 2019.
    Improved Techniques for Training Adaptive Deep Networks. [code]
    Hao Li*, Hong Zhang*, Xiaojuan Qi, Ruigang Yang, Gao Huang.
    International Conference on Computer Vision (ICCV) 2019.

    Joint Adversarial Domain Adaptation.
    Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang.
    ACM Multimedia (ACM MM) 2019.
    Rethinking the Value of Network Pruning. [code]
    Zhuang Liu*, Mingjie Sun*, Tinghui, Zhou, Gao Huang, Trevor Darrell.
    International Conference on Learning Representations (ICLR) 2019.
    Anytime Stereo Image Depth Estimation on Mobile Devices.
    Yan Wang, Zihang Lai, Gao Huang, Brian Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger.
    International Conference on Robotics and Automation (ICRA) 2019.
    Horizontal Pyramid Matching for Person Re-identification.
    Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang.
    AAAI Conference on Artificial Intelligence (AAAI) 2019.
    An Empirical Study on Evaluation Metrics of Generative Adversarial Networks. [code]
    Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Weinberger.
    arXiv Preprint 2018.
    CondenseNet: An Efficient DenseNet using Learned Group Convolutions. [code] [talk]
    Gao Huang*, Shichen Liu*, Laurens van der Maaten, Kilian Q. Weinberger.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR Spotlight) 2018.

    Resource Aware Person Re-identification across Multiple Resolutions. [code]
    Yan Wang*, Lequn Wang*, Yurong You*, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Weinberger.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.

    Multi-Scale Dense Convolutional Networks for Resource Efficient Image Classification. [code]
    Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger.
    International Conference on Learning Representations (ICLR Oral) 2018.

    Memory-Efficient Implementation of DenseNets. [code1] [code2]
    Geoff Pleiss*, Danlu Chen*, Gao Huang, Tongcheng Li, Laurens van der Maaten, Kilian Q. Weinberger.
    Technical Report 2017.
    Learning Efficient Convolutional Networks through Network Slimming. [code]
    Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang.
    International Conference on Computer Vision (ICCV) 2017.

    Densely Connected Convolutional Networks. [code] [talk] [slides]
    Gao Huang*, Zhuang Liu*, Laurens van der Maaten, Kilian Weinberger.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral) 2017.

    Snapshot Ensembles: Train 1, Get M for Free. [code]
    Gao Huang*, Yixuan Li*, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Weinberger.
    International Conference on Learning Representations (ICLR) 2017.
    Supervised Word Mover's Distance. [code] [talk]
    Gao Huang*, Chuan Guo*, Matt Kusner, Yu Sun, Fei Sha, Kilian Weinberger.
    Neural Information Processing Systems (NIPS Oral) 2016.

    Deep Networks with Stochastic Depth.
    [code] [poster] [talk]
    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)



    * Equal Contribution.

    Awards

    • Outstanding Young Researcher, Chinese Association for Artificial Intelligence, 2019
    • Super AI Leader - Pioneer Award, World AI Conference (WAIC), 2018
    • NeurIPS Workshop Best Paper Award, 2018
    • CVPR Best Paper Award, 2017
    • Doctoral Dissertation Award, Chinese Association of Automation, 2015

    Students

    Professional Activities

    • Area Chair of CVPR (2021).
    • Senior Program Committee (SPC) member of AAAI (2018, 2020).
    • Reviewer for JMLR, Machine Learning, TPAMI, IJCV, TIP, TKDE, TNNLS, ...
    • Reviewer for NeurIPS, ICML, CVPR, ICCV, ECCV, AAAI, AISTATS, ...

    Contact

    • gaohuang at tsinghua dot edu dot cn
    • 617 Centre Main Building, Tsinghua University, Beijing 100084, China.