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Hao Liu, Ph.D, Associate Professor

School of Information Engineering, Ningxia University

Research on computer vision and machine learning, particularly facial visual analysis, medical image analysis, self-supervised learning and graph neural networks.

Ph.D supervised by Prof.Jie Zhou and Prof.Jiwen Lu.

Master supervised by Prof.Qingming Huang.

Contact Email: liuhao [at] nxu.edu.cn

Education

Sep. 2014 - Jan. 2018, Ph.D Degree of Control Science and Engineering, Tsinghua University

Sep. 2011 - Jul. 2014, Engineering Master Degree of Computer Technology, University of Chinese Academic of Sciences

Jul. 2007 - Sep. 2011, Bachelor Degree of Software Engineering, Sichuan University

Updates and News


  • [2020/07/07] One student paper on facial age estimation is accepted to CVPR 2021.
  • [2020/07/07] One student paper on face alignment is accepted to Neurocomputing.
  • [2020/06/14] We got Excellent Award (Rank-10) on Face Parsing Challenge.
  • [2020/03/30] One student paper on face alignment and tracking is accepted to PR.
  • [2020/03/06] Two student papers are accepted to IEEE ICME as Oral presentation.
  • [2020/02/02] CAAI Youth Talents Supporting Program [News]
  • [2020/01/14] One paper on facial age estimation is accepted to IEEE T-MM.
  • [2019/11/11] One paper on face alignment is accepted to AAAI 2020. [News]
  • [2019/07/08] CAAI Outstanding Doctoral Dissertation Award (TOP 10)
  • [2019/05/01] Two papers on face alignment are accepted to IEEE ICIP 2019.
  • [2019/04/24] One paper on face alignment is accepted to IEEE ICME Workshop 2019.
  • [2019/03/11] One paper on facial age estimation is accepted to IEEE ICME 2019, Oral [News].
  • [2018/08/20] I give a tutorial on IEEE ICPR 2018: Deep Metric Learning for Pattern Recognition.
  • [2018/05/15] I give a tutorial on IEEE FG 2018: Representation Learning for Face Alignment and Recognition.
  • [2018/12/02] One paper on face alignment is accepted to IEEE T-PAMI [News].

Selected Publications

(* indicates Submitting Author)
PML: Progressive Margin Loss for Long-tailed Age Classification

Zongyong Deng, Hao Liu*, Yaoxing Wang, Chenyang Wang, Zekuan Yu and Xuehong Sun.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), accepted to Poster Presentation.
[Arxiv Paper]
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos

Congcong Zhu, Hao Liu*, Zhenhua Yu and Xuehong Sun.
AAAI Conference on Artificial Intelligence (AAAI 2020), accepted to Spotlight Poster Presentation. (Regular Paper)
[Arxiv Paper] [Video Presentation]
Learning Reasoning-Decision Networks for Robust Face Alignment

Hao Liu, Jiwen Lu*, Minghao Guo, Suping Wu and Jie Zhou.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 42(3): 679-693, 2020. (Regular Paper)
[Paper] [Code]
Two-Stream Transformer Networks for Video-based Face Alignment

Hao Liu, Jiwen Lu*, Jianjiang Feng and Jie Zhou.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 40(11): 2546-2554, 2018. (Regular Paper)

[Paper]
Similarity-Aware and Variational Deep Adversarial Learning for Robust Facial Age Estimation

Hao Liu*, Penghui Sun, Jiaqiang Zhang, Suping Wu, Zhenhua Yu and Xuehong Sun.
IEEE Transactions on Multimedia (T-MM), 22(7): 1808-1822, 2020. (Regular Paper)

[Paper]
Learning Deep Sharable and Structural Detectors for Face Alignment

Hao Liu, Jiwen Lu*, Jianjiang Feng and Jie Zhou.
IEEE Transactions on Image Processing (T-IP) , 26(4): 1666-1678, 2017. (Regular Paper)

[Paper]
Ordinal Deep Learning for Facial Age Estimation

Hao Liu, Jiwen Lu*, Jianjiang Feng and Jie Zhou.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 29(2): 486-501, 2019. (Regular Paper)

[Paper]
Label-Sensitive Deep Metric Learning for Facial Age Estimation

Hao Liu, Jiwen Lu*, Jianjiang Feng and Jie Zhou.
IEEE Transactions on Information Forensics and Security (T-IFS), 13(2): 292-305, 2018. (Regular Paper)

[Paper]
Learning Neighborhood-Reasoning Label Distribution (NRLD) for Facial Age Estimation

Zongyong Deng, Mo Zhao, Hao Liu*, Zhenhua Yu and Feng Feng.
IEEE International Conference on Multimedia and Expo (ICME 2020), Oral Presentation. (Regular Paper)
[Paper]
Similarity-Aware Deep Adversarial Learning for Facial Age Estimation

Penghui Sun, Hao Liu*, Xing Wang, Zhenhua Yu and Suping Wu.
IEEE International Conference on Multimedia and Expo (ICME 2019), Oral Presentation. (Regular Paper)
[Paper][Oral Slides][Code]

Selected Honors and Awards

  • 中国科协青年托举人才(中国人工智能学会), 2020
  • The 15th Outstanding Scientific Paper of Ningxia, 2019
  • CAAI Outstanding Doctoral Dissertation Award, 2019
  • Excellent Undergraduate Student of Tsinghua University, 2018
  • Outstanding Ph.D. Thesis of Tsinghua University, 2018
  • National Scholarship of Tsinghua University, 2017

Professional Activities

  • Area Chair, IEEE International Conference on Multimedia and Expo (ICME), 2020.
  • Reviewer, IEEE/CVF International Conference on Computer Vision (ICCV), 2021-.
  • Reviewer, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2019-.
  • Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018-.
  • Reviewer, IEEE Transactions on Image Processing (T-IP), 2018-.
  • Reviewer, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018-.
  • Reviewer, IEEE Transactions on Information Forensics and Security (T-IFS), 2019.
  • Reviewer, IEEE Transactions on Multimedia (T-MM), 2018-.
  • Reviewer, AAAI Conference on Artificial Intelligence (AAAI), 2018-.
  • Reviewer, IEEE International Conference on Multimedia and Expo (ICME), 2018-.
  • Reviewer, IEEE International Conference on Image Processing (ICIP), 2017-.
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