Weiyang Liu

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Computational Science and Engineering
College of Computing
Georgia Institute of Technology

 

Email: wyliu [at] gatech [dot] edu


Biography

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

Publications

Decoupled Networks
Weiyang Liu*, Zhen Liu*, et al.

CVPR 2018

(paper Forthcoming)

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

CVPR 2018

(paper Forthcoming)

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

Technical Report, 2018    

arXiv | code

Towards Black-box Iterative Machine Teaching
Weiyang Liu*, Bo Dai*, Xingguo Li, Zhen Liu, James M. 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 | video | slides

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

ICML 2017

arXiv | code | demo | 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 | 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

Service

    • Journal Reviewer: TPAMI, IJCV, TIP, TMM, etc.
    • Conference Reviewer: ICML 2018, CVPR 2018, AAAI 2018, IJCAI 2017, NIPS 2016, AAAI 2016, ICCV 2015, etc.

Awards

    • 2016    PKU Best Master Thesis Award
    • 2016    Beijing/PKU Outstanding Graduate Award
    • 2015/2014/2012    National Scholarship
  • 2015    PKU Academic Innovation Award
  • 2013    First Prize in National Postgraduate Mathematic Contest in Modeling
  • 2013    Best Bachelor Thesis Award
    • 2012    Best 10 Undergraduate Excellence Award (only 10 awardees university-wide per year)
    • 2011    Outstanding Winner (Highest Award) in Mathematical Contest in Modeling (U.S.) [SCUT Media]

Collaborators

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

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 20th Feb. 2018.
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