Weiyang Liu

[Google Scholar]  [Github]


Computational Science and Engineering
College of Computing
Georgia Institute of Technology


Email : wyliu [at] gatech [dot] edu


I am currently a graduate student at Georgia Tech. Previously, I received a M.S. from Peking University and a B.E. from South China University of Technology. I finished a great internship at Nvidia Research.


My research interest broadly lies in statistical learning, (deep) representation learning and their applications to computer vision. I extremely appreciate the beauty of "light-and-sweet" algorithms: (i) light: easy to implement in practice, (ii) sweet: having clear intuitions or non-trivial theoretical guarantees. I also have the great pleasure to work closely with Yandong Wen, Zhiding Yu, Bo Dai, Zhen Liu, Xingguo Li, Zhehui Chen, Tuo Zhao, Jim Rehg, and Le Song.


Towards Black-box Iterative Machine Teaching
Weiyang Liu*, Bo Dai*, Xingguo Li, James M. Rehg, and Le Song.

Technical Report, 2017    [arXiv]

Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, and Le Song.

NIPS 2017 (Spotlight)    [arXiv]  [TensorFlow]  [video]  [slides]

Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Yu Chen, Linda B. Smith, James M. Rehg, and Le Song.

ICML 2017 (Oral)    [arXiv]  [code]  [demo]  [slides]

SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song.
CVPR 2017    [arXiv]  [Caffe]  [PyTorch]  [TensorFlow]  [demo]  [Megaface]  [slides]
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu, and Meng Yang.
ICML 2016 (Oral)    [arXiv]  [Caffe]  [MXNet]  [Caffe2]  [slides]
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization
Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, and Yuexian Zou.
Pattern Recognition, 48(10), 3076-3092, 2015    [arXiv]  [short]  [code]


    • Journal Reviewer: TPAMI, IJCV, TIP
    • Conference Reviewer: ICML 2018, CVPR 2018, NIPS 2016, ICCV 2015


    • 2017    CVPR Travel Grant
    • 2016    PKU Best Master Thesis Award
    • 2016    Beijing/PKU Outstanding Graduate Award
    • 2015/2014/2012    National Scholarship
  • 2015    PKU Academic Innovation Award
  • 2014    IEEE ICIP Travel Grant
  • 2013    PKU Graduate Highest-Grade Fellowship
  • 2013    First Prize in National Postgraduate Mathematic Contest in Modeling
  • 2013    Best Bachelor Thesis Award
    • 2013    "Hong Ping Chang Qing" Highest Grade Academic Scholarship
    • 2012    President's List (Highest undergraduate honor university-wide, only 10 awardees each year)
    • 2011    HITACHI Scholarship
    • 2011    Outstanding Winner (Highest Award) in International Mathematical Contest in Modeling [SCUT Media]


Prof. Meng Yang, Sun Yat-Sen University

Prof. Yuexian Zou, Peking University

Prof. Le Song, Georgia Tech

Prof. Jim Rehg, Georgia Tech

Prof. Tuo Zhao, Georgia Tech

Prof. Yan-Ming Zhang, NLPR, CASIA

Yandong Wen, Ph.D. candidate, CMU

Zhiding Yu, Ph.D. candidate, CMU

Zhen Liu, M.S. student, Georgia Tech

Jianhan Mei, Ph.D. candidate, Nanyang Technological University

Bo Dai, Ph.D. candidate, Georgia Tech

Xingguo Li, Ph.D. candidate, University of Minnesota Twin Cities

Zhehui Chen, Ph.D. candidate, Georgia Tech

Rongmei Lin, M.S. student, Emory University

Last updated on 4th Sep. 2017.
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