Scholar
Chaoyue Wang
Google Scholar ID: ioj1BycAAAAJ
Artificial Intelligence Generated Content (AIGC)
Citations & Impact
Citations
4,200
H-index
30
i10-index
42
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Authored over 60 academic works; TDGAN (first author) secured the Distinguished Student Paper Award at IJCAI-17; E-GAN (first author) celebrated as the Best of Physics by MIT TR and 2018's Best GAN Paper by DTRANSPOSED; The Super Deep Learning project in which he was involved has been selected as WAIC-22's SAIL Top30.
Research Experience
- Published papers in prestigious journals and conferences such as IEEE T-PAMI, T-EVC, IEEE T-IP, NeurIPS, ICLR, CVPR, ECCV, IJCAI, etc. Led the writing of the globe's inaugural 'AIGC white paper'. Involved in the 'Super Deep Learning' project, which was selected as WAIC-22's SAIL Top30.
Background
- Brings a decade of proficiency in artificial intelligence generated content (AIGC). Focuses on developing foundation visual content generative models that are generalizable, controllable, and interpretable. Aims to conduct cutting-edge research and applied algorithm applications in the areas of 'Pre-training of fundament visual content generative models', 'Controllable and personalized visual content generation', and 'High-efficiency inference and low-cost deployment'.
Miscellany
- His research projects have been covered by various media outlets, including China Global Television Network (CGTN), Scientific American, MIT Tech Review, Sina, Sohu, Tencent News, and AI Technology Review, etc.
