Gao Huang Homepage (original) (raw)

Bio

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). He has collected more than 70,000 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.

Selected Journal Papers (Google Scholar)

* Equal Contribution.

Selected Conference Papers (Google Scholar)

Awards

• CVPR Best Paper Finalists, 2022
• AI 2000 Most Influential Scholar in Computer Vision, AMiner, 2022
• MIT TR 35 Asia-Pacific, MIT Technology Review, 2021
• Research Fund for Outstanding Young Scholars, Nature Science Foundation of China, 2020
• DAMO Qingcheng Award, Alibaba, 2020
• Outstanding Young Researcher Award, Chinese Association for Artificial Intelligence, 2019
• Zhiyuan Young Scholar, Beijing Academy of Artificial Intelligence (BAAI), 2019
• First Prize of Nature Science Award, Chinese Association for Artificial Intelligence, 2018
• 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

• Graduate Students:
  Haojun Jiang (2020-)
  Chaoqun Du (2020-)
  Yongxien Chng (2020-)
  Yifan Pu (2020-)
  Rui Lu (2021-)
  Qichen Zhao (2021-)
  Yang Yue (2022-)
  Zanlin Ni (2022-)
  Henry Zheng (2022-)
  Dongchen Han (2023-)
  Hao Shi (2023-)
  Tianzhu Ye (2024-)
  Zeyu Liu (2024-)
• Co-supervised Graduate students:
  Yulin Wang (2019-)
  Qisen Yang (2019-)
  Jiayi Guo (2020-)
  Chunjiang Ge (2020-)
  Rui Huang (2020-)
  Zhuofan Xia (2020-)
  Chenxin Tao (2020-)
  Shenzhi Wang (2021-)
  Matthieu Lin (2021-)
  Yang Yue (2022-)
  Huanqian Wang (2023-)
• Alumni:
  Yizeng Han (2018-2024)
  Xuran Pan (2018-2024)
  Yukang Yang (2019-2022)
  Chaofei Wang (2018-2023)
  Peng Jiang (2017-2023)
  Wenjie Shi (2016-2022; Meituan)
  Hangkai Hu (2016-2022; Huawei)
  Yiming Chen (2015-2021; MeiTuan)
  Le Yang (2015-2021; Faculty at Xi'an Jiaotong University)
  Hui Wu (2014-2020; Tencent)
• Undergraduate students at Tsinghua:
  Hao Li (2018; now PhD student at CUHK)
  Zhuoyuan Wang (2019; now PhD student at CMU)
  Kaiqian Han (2019; now at Sense Time)
  Kuan Wang (2019; now PhD student at GATech)
  Jiayu Xiao (2019; now PhD student at UCAS)
  Qihang Zhang (2021~2023; now Ph.D. student at UBC)
• 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)

Professional Activities

• 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).

• Reviewer for JMLR, TPAMI, IJCV, Machine Learning, IJCV, TIP, TKDE, TNNLS, ...

• Reviewer for NeurIPS, ICML, CVPR, ICCV, ECCV, AAAI, AISTATS, ...

• gaohuang at tsinghua dot edu dot cn

• 617A Centre Main Building, Tsinghua University, Beijing 100084, China.