Visual Information Processing and Learning
Visual Information Processing and Learning
Hong Chang


Research area: Machine Learning, Pattern Recognition, Computer Vision

Hong CHANG received her Bachelor degree from Hebei University of Technology in 1998, M.Phil. degree from Tianjin University in 2001, and Ph.D. degree from Hong Kong University of Science and Technology in 2006, all in Computer Science. She was a permanent research scientist at Xerox Research Centre Europe. From 2008, she has been an associate researcher and researcher at Institute of Computing Technology, Chinese Academy of Sciences. Her main research interests include models and algorithms of machine learning and pattern recognition, especially semi-supervised learning, metric learning, few-shot learning, deep learning, etc., as well as the applications of machine learning methods in computer vision and pattern recognition, especially image and video modeling, object detection, tracking and person re-identification.

Academic service
Journal services
  • Associate Editor of: Pattern Recognition
  • Associate Editor of: Web Intelligence and Agent Systems
  • Reviewer of: TPAMI, TNNLS, TIP, CSVT, TIST, PR, etc.
Conference services
  • Program committee member of: IJCAI'2015/2018, UAI'2015/2017, ICCV'2015/2017, CVPR'2014/2015/2016/2017/2019, ECCV'2014/2018, AAAI'2014/2016/2017/2018/2019, etc.
  • Local team member, ICML'2014
  • Speaker coordinator, CNCC'2012
Educational experience
  • 2001-2006: The Hong Kong University of Science and Technology, Hong Kong, China
  • 1998-2001: Tianjin University, China
  • 1994-1998: Hebei University of Technology, China
Academic experience
  • 2008.3-now: Associate Researcher/ Researcher at Institute of Computing Technology, CAS, Beijing, China
  • 2016.9-2018.6: Visiting professor at KU Leuven, Belgium
  • 2006.11-2007.12: Research Scientist at Xerox Research Centre Europe, France
Research content

1.   Algorithms and models for machine learning and pattern recognition

  • particularly metric learning, deep neural networks, manifold learning, kernel methods etc.

2.   Applications of machine learning methods on CV and PR problems

  • particularly image/video representation, object detection, tracking and recognition, etc.
Research project

1.   Clustering data oriented AVS cloud media coding standard and verification platform

Project type: NSFC
Project time: 2014-2018
Project leader: Hong Chang (on behalf of the cooperation unit)

2.   Research on deep coding methods for image and video feature representation

Project type: NSFC
Project time: 2013-2016
Project leader: Hong Chang

3.   Semi-supervised distance metric learning for image recognition

Project type: NSFC
Project time: 2009-2011
Project leader: Hong Chang

Visual Information Processing and Learning
  • Address :No.6 Kexueyuan South Road
  • Zhongguancun,Haidian District
  • Beijing,China
  • Postcode :100190
  • Tel : (8610)62600514
  • Valse

  • Big Lecture of DL

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