Zenglin Shi
Scholar

Zenglin Shi

Google Scholar ID: gGK6E38AAAAJ
Professor of Artificial Intelligence, Hefei University of Technology
Deep LearningComputer VisionMachine LearningMultimedia
Citations & Impact
All-time
Citations
1,537
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published dozens of research papers in top-tier journals and conferences such as TPAMI, IJCV, TIP, CVPR, ICCV. Representative works include:
  • 1. Focus for Free in Density-Based Counting
  • 2. On Measuring and Controlling the Spectral Bias of the Deep Image Prior
  • 3. Unsharp Mask Guided Filtering
  • 4. Ordered or Orderless: A Revisit for Video based Person Re-ID
  • 5. Nonlinear Regression via Deep Negative Correlation Learning
  • 6. Counting with Focus for Free
  • 7. Crowd Counting with Deep Negative Correlation Learning
  • 8. Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole-Heart Segmentation from 3D MR Images
  • 9. Multiscale Multitask Deep NetVLAD for Crowd Counting
  • 10. Rank-based Pooling for Deep Convolutional Neural Networks
Research Experience
  • Worked as a research scientist at A*STAR in Singapore from July 2022 to December 2023.
Education
  • PhD from the University of Amsterdam, supervised by Prof. Cees Snoek and Dr. Pascal Mattes.
Background
  • Research interests include Computer Vision and Machine Learning. Currently, his research focuses on adaptive machine learning and Multimodal Large Language Models, specifically on continual learning, prompt tuning, instruction tuning, alignment tuning, retrieval augmented generation, Agent etc.