Mao Po-Yuan
Scholar

Mao Po-Yuan

Google Scholar ID: R_HEXc0AAAAJ
Ph.D. student at University of Bath
Generative ModelAdversarial RobustnessFew shot learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
15
 
H-index
3
 
i10-index
0
 
Publications
8
 
Co-authors
10
list available
Contact
Emailmao.kyushu@gmail.comCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
8 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications: Papers accepted by ACM Multimedia 2025, ICCV 2025, etc.; Awards: University Research Studentship Award (URSA) from the University of Bath.
Research Experience
  • Started working as a full-time research assistant at Academia Sinica, Taiwan, from Oct 01, 2024, under Prof. Chun-Shien Lu.
Education
  • PhD in Computer Science, University of Bath, Supervisors: Prof. Davide Moltisanti and Prof. Vinay Namboodiri; Graduated from Kyushu University (Japan), Date: Sep 25, 2024.
Background
  • Research Interests: Developing trustworthy and interpretable AI systems. Focus: Enhancing the robustness of diffusion model watermarking, exploring interpretability of generative models.
Miscellany
  • Actively seeking internships in generative model applications and explainable AI.
Co-authors
10 total
Danilo Vasconcellos Vargas
Danilo Vasconcellos Vargas
Assoc. Professor @Kyushu University & Founder/CEO @ MiraiX
Shashank Kotyan
Shashank Kotyan
Research Scientist at Sakana AI
Co-author 3
Co-author 3
Wray Buntine
Wray Buntine
Professor, VinUniversity
Mohammed Bennamoun
Mohammed Bennamoun
Winthrop Professor - University of Western Australia
Heng Zhang
Heng Zhang
The University of Tokyo
Pin-Yu Chen
Pin-Yu Chen
Principal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRC
Do Huu Dat
Do Huu Dat
VinUniversity