Xinwen HOU
Scholar

Xinwen HOU

Google Scholar ID: WFsqZskAAAAJ
Institute of Automation, Chinese Academy of Sciences
Machine learningReinforcement LearningDeep LearningComputer Vision
Citations & Impact
All-time
Citations
793
 
H-index
16
 
i10-index
23
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Over 3200 citations on Google Scholar. Highly cited papers include: [1] Learning Spatially Localized, Parts-Based Representation (927 citations); [2] A hybrid approach to detect and localize texts in natural scene images (367 citations); [3] Direct Appearance Models (219 citations); [4] Text localization in natural scene images based on conditional random field (144 citations); [5] Learning Multiview Face Subspaces and Facial Pose Estimation Using Independent Component Analysis (112 citations). Several preprint papers on arxiv.
Research Experience
  • Since 2004-07, Associate Researcher at the Institute of Automation, Chinese Academy of Sciences; From 2003-12 to 2004-06, Project Appointment at the Institute of Automation, CAS; From 2001-07 to 2003-11, Postdoctoral Fellow at the Department of Mathematics, Nankai University.
Education
  • 1998-09 to 2001-06, School of Mathematical Sciences, Peking University, PhD.
Background
  • Research Interests: Pattern recognition, computer vision, deep learning, reinforcement learning, generative adversarial learning, intelligent games, mathematical theory of artificial intelligence. Brief Introduction: Long-term research in computer vision and machine learning, with recent focus on reinforcement learning, generative adversarial learning, meta-learning, and intelligent games.
Miscellany
  • Courses Taught: Pattern Recognition.
Co-authors
0 total
Co-authors: 0 (list not available)