Gang Wu
Scholar

Gang Wu

Google Scholar ID: lc0B4d4AAAAJ
Adobe Research
Machine LearningArtificial IntelligenceStatistical LearningData Mining
Citations & Impact
All-time
Citations
662
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted to international conferences like AAAI-2022, ICCV-2021, CIKM-2021, SDM-2021, ICML-2020, etc.; served as a reviewer or PC member for several journals and conferences; holds multiple patents.
Research Experience
  • Currently a research scientist at Adobe Research; has mentored multiple PhD students for research internships.
Education
  • PhD from the Electrical & Computer Engineering Department at Iowa State University, advised by Prof. Ratnesh Kumar. The research focused on probabilistic methods for matrix completion.
Background
  • Research interests span different machine learning fields including statistical modeling, optimization, deep learning, and generative modeling, with applications in digital marketing, user behavior modeling, recommender systems, and computer vision such as image compression, video understanding, etc.
Miscellany
  • Continuously looking for outstanding and self-motivated PhD students for research internship positions; gave a keynote talk at KDD-2021 workshop; participated in the Industry Mentorship Program of UMass Amherst.