Jinpei Guo
Scholar

Jinpei Guo

Google Scholar ID: TXKT170AAAAJ
Carnegie Mellon University
Deep LearningCombinatorial OptimizationGenerative AI
Citations & Impact
All-time
Citations
160
 
H-index
4
 
i10-index
3
 
Publications
9
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Publication: Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution, arXiv, 2025
  • Publication: OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates, NeurIPS, 2025
  • Publication: Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal, ICCV, 2025
  • Publication: GMTR: Graph Matching Transformers, ICASSP, 2024
  • Publication: Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization, NeurIPS, 2024
  • Publication: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization, NeurIPS, 2023
  • Snap Inc. Gift Funding, ¥108,000, 2025
  • Chiang Chen Overseas Graduate Fellowship, ¥360,000, 2024
  • SenseTime Scholarship, ¥20,000, 2023
  • Chinese National Scholarship, ¥8,000 × 2, 2022, 2023
  • Shanghai Scholarship, ¥8,000, 2021
  • Zhiyuan Honorary Scholarship, ¥5,000 × 3, 2021, 2022, 2023
Background
  • Research Interests: Low-level computer vision, leveraging diffusion-based generative models to enhance visual realism and designing efficient architectures to reduce their high computational cost. Currently working closely with Dr. Jian Wang from Snap Inc.
Miscellany
  • Personal interests not mentioned