Minh Quan Dao
Scholar

Minh Quan Dao

Google Scholar ID: g0RS3_kAAAAJ
CS PhD Student, Rutgers University
Computer VisionGenerative ModelsMachine Learning
Citations & Impact
All-time
Citations
452
 
H-index
5
 
i10-index
4
 
Publications
9
 
Co-authors
8
list available
Publications
9 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications: AutoEdit (NeurIPS 2025), DICE (CVPR 2025), Improved Latent Consistency Model (ICLR 2025), SCFlow (AAAI 2025), Yummy DimSUM (NeurIPS 2024), RDUOT (ECCV 2024), Antidreambooth (ICCV 2023), Wavediff (CVPR 2023).
Research Experience
  • Internship at Apple MLR during PhD; Previously a Research Resident at Qualcomm AI Research, Vietnam (formerly VinAI), under the supervision of Dr. Tuan Anh Tran.
Education
  • PhD: Rutgers University, supervised by Distinguished Prof. Dimitris Metaxas; Bachelor's degree: Computer Science from Monash University, graduated in 2020.
Background
  • Research Interests: Generative models, specifically diffusion models and visual autoregressive models. Focus on developing efficient and robust training methodologies.