Scholar
Jin Sun
Google Scholar ID: Gw10rFEAAAAJ
Assistant Professor, University of Georgia
Computer Vision
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Citations & Impact
All-time
Citations
1,283
H-index
18
i10-index
22
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
8 items
OUSAC: Optimized Guidance Scheduling with Adaptive Caching for DiT Acceleration
2025
Cited
0
A Multi-Stage Deep Learning Framework with PKCP-MixUp Augmentation for Pediatric Liver Tumor Diagnosis Using Multi-Phase Contrast-Enhanced CT
2025
Cited
0
Pure Vision Language Action (VLA) Models: A Comprehensive Survey
2025
Cited
0
Common Inpainted Objects In-N-Out of Context
2025
Cited
0
Concept-Centric Token Interpretation for Vector-Quantized Generative Models
2025
Cited
0
ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations
2025
Cited
0
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
2025
Cited
0
Optimal Investment-Consumption-Insurance with Durable and Perishable Consumption Goods in a Jump Diffusion Market
Social Science Research Network · 2019
Cited
0
Resume (English only)
Academic Achievements
May 2025: Paper accepted at KDD 2025
May 2025: Paper accepted at ICML 2025
Feb 2025: Paper accepted at ICLR 2025
Dec 2024: Paper accepted at Ageing Research Reviews
Aug 2024: Paper accepted at Biosystems Engineering
Jun 2024: Paper accepted at NeurIPS 2024
May 2024: Paper accepted at Computers and Electronics in Agriculture
Sep 2024: Awarded NIH R21 grant as Principal Investigator (PI)
Jan 2025: Awarded USDOT grant as Co-Principal Investigator (Co-PI)
Sep 2024: Awarded University of Georgia EC3 grant as Co-PI
Jan 2024: Awarded University of Georgia Presidential Interdisciplinary Seed Grant as Co-PI
Background
Assistant Professor in the School of Computing at the University of Georgia
Faculty Fellow at the Institute for Artificial Intelligence, University of Georgia
Lilly Teaching Fellow
Main research area is computer vision—understanding the world using visual data with state-of-the-art deep learning models
Passionate about understanding people in diverse and complex environments using images and videos
Believes AI should be developed to improve people's quality of life
Actively collaborates across disciplines to apply AI in scientific discovery, healthcare advancement, and societal challenges
Co-authors
9 total
David W. Jacobs
Professor of Computer Science, University of Maryland
Kotaro Hara
Singapore Management University
Jon E. Froehlich
Professor, Allen School of Computer Science, University of Washington
Hao Zhou
Google DeepMind
Co-author 5
Vlad Morariu
Senior Research Scientist, Adobe Research
Co-author 7
Jingyi Yu
Professor, ShanghaiTech University
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