Junlin Hou
Scholar

Junlin Hou

Google Scholar ID: 2bHYfQcAAAAJ
HKUST | Fudan University
Computer VisionMedical Image AnalysisLabel-efficient Deep LearningeXplainable AI
Citations & Impact
All-time
Citations
629
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published 30+ papers in top-tier venues including CVPR, ICCV, ECCV, and Pattern Recognition (PR)
  • Served as reviewer for IEEE TMI, MICCAI, ICCV, and Neurocomputing
  • Guest Editor for CMIG special issue on 'Trustworthy Artificial Intelligence for Medical Imaging'
  • Program Chair for IJCAI 2024 workshop on TAI4H
  • Led teams to win 10+ international medical imaging challenges, including:
  • - 1st place in both Track 1 and Track 2 of PHAROS-AFE-AIMI Competition @ ICCV 2025
  • - 1st in Track 2 and 4th in Track 1 of 4th-COV19D Competition @ CVPR 2024
  • - 1st in both Track 1 and Track 2 of Myopic Maculopathy Analysis Challenge @ MICCAI 2023
  • Selected publications:
  • - 'Segment Anything in Pathology Images with Natural Language' (arXiv, 2025)
  • - 'QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis' (IEEE TMI, 2025)
  • - 'Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks' (arXiv, 2024)
  • - 'Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis' (MICCAI 2024)
  • - 'Diabetic retinopathy grading with weakly-supervised lesion priors' (ICASSP 2023)
  • - 'Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision' (CVPR 2023)
  • - 'CREAM: Weakly supervised object localization via class re-activation mapping' (CVPR 2022)