Weiyang Liu

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College of Computing
Georgia Institute of Technology

 

Email: wyliu [at] gatech [dot] edu


Biography

I am a graduate student at Georgia Tech. I have the great pleasure to work with and learn from many talented researchers.

My research interest broadly lies in machine learning and computer vision. My research goal is to develop "light-and-sweet" methods: (i) light: easy to implement in practice, (ii) sweet: having clear intuitions or non-trivial theoretical guarantees.

 

"Everything should be made as simple as possible, but not simpler."    - Albert Einstein

Publications

Decoupled Networks
Weiyang Liu*, Zhen Liu*, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James Rehg, Le Song.

CVPR 2018 (Spotlight)

arXiv | code | slides

Iterative Learning with Open-set Noisy Labels
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia.

CVPR 2018 (Spotlight)

arXiv | code | slides

Additive Margin Softmax for Face Verification
Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng.

ICLR 2018 (Workshop)    

arXiv | code

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

Technical Report, 2017    

arXiv

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

NIPS 2017 (Spotlight)    

arXiv | code | talk | slides

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

ICML 2017

arXiv | code | demo | talk | slides

SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song.
CVPR 2017

arXiv | code | project | demo | slides

Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang.
ICML 2016

arXiv | code | talk | slides

KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization
Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou.
Pattern Recognition, 48(10), 3076-3092, 2015    

arXiv | code

Academic Service

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

Awards

    • 2016    PKU Best Master Thesis Award
    • 2016    Beijing Outstanding Graduate Award
  • 2015    PKU Academic Innovation Award
  • 2013    Best Bachelor Thesis Award
    • 2011    Outstanding Winner in Mathematical Contest in Modeling (U.S.) [Coverage]

Collaborators

Prof. Meng Yang, Sun Yat-Sen University

Prof. Yuexian Zou, Peking University

Prof. Le Song, Georgia Tech

Prof. James Rehg, Georgia Tech

Prof. Tuo Zhao, Georgia Tech

Prof. Yan-Ming Zhang, NLPR, CASIA

Dr. Zhiding Yu, Research Scientist, NVIDIA

Yandong Wen, Ph.D. candidate, CMU

Zhen Liu, M.S. student, Georgia Tech

Bo Dai, Ph.D. candidate, Georgia Tech

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

Zhehui Chen, Ph.D. candidate, Georgia Tech

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

Rongmei Lin, Ph.D. student, Emory University

Yisen Wang, Ph.D. candidate, Tsinghua University

Feng Wang, Ph.D. candidate, UESTC

Last updated on 9th Apr. 2018.
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