News
2024
[10. 04] A survey about self-eXplainable AI on arXiv: " Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks"
[07. 22] Serve as a Guest Editor for the Special Issue Trustworthy Artificial Intelligence for Medical Imaging for Computerized Medical Imaging and Graphics(CMIG)
[06. 18] One paper was accepted at MICCAI 2024: "Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis" [arXiv]
[04. 08] New preprint on arXiv: " QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis"
[04. 01] Serve as the program committee of the IJCAI 2024 workshop on TAI4H
[03. 22] Rank 1st at 4th-COV19D Competition Track 2 and 4th at Track1 @ CVPR 2024
[02. 29] Serve as a reviewer for MICCAI 2024
[02. 27] One paper was accepted at CVPR 2024
[01. 22] Serve as a reviewer for Neurocomputing
2023
[10. 16] Rank 1st at Myopic Maculopathy Analysis Challenge Track 1 and Track 2 @ MICCAI 2023
[08. 01] I start as a Post-doc Fellow at The Hong Kong University of Science and Technology
[05. 17] I successfully defended my dissertation at Fudan University and became a PhD!
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Junlin Hou, Jilan Xu, Fan Xiao, Bo Zhang, Yiqian Xu, Yuejie Zhang, Haidong Zou, Rui Feng MICCAI 2023 Workshop. Winner of MICCAI-MMAC 2023 Challenge code A label-efficient deep learning framework for myopic maculopathy classification. |
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Junlin Hou, Fan Xiao, Jilan Xu, Rui Feng, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue ICASSP 2023 code A novel weakly-supervised lesion-aware network for DR grading, which enhances the discriminative features with lesion priors by only image-level supervision. |
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Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie CVPR 2023 arXiv / project page / code Training open-vocabulary semantic segmentation models with image-text pairs only, which enables zero-transfer to various segmentation datasets. |
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Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao CVPR 2022 arXiv A weakly-supervised object localization model that generates better CAMs via soft-clustering algorithms. |
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Junlin Hou, Jilan Xu, Fan Xiao, Rui-Wei Zhao, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue, Rui Feng BIBM 2022 arXiv / code A new benchmark dataset (DRTiD) for twof-field DR grading. A novel DR grading approach, namely Cross-Field Transformer (CrossFiT), to capture the correspondence between two fields as well as the long-range spatial correlations within each field. |
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Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng ECCV 2022 AIMIA Workshop. Winner of ECCV-2nd COV19D challenge arXiv / code A Transformer-based model with contrastive representation enhancement. Winner of the 2nd COVID-19 Detection in ECCV 2022. |
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Junlin Hou*, Jilan Xu*, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi ICCV 2021, AIMIA Workshop. Winner of ICCV-1st COV19D challenge paper / code A ResNest-50 model combined with contrastive mixup technique for 3D COVID-19 CT image classification. Winner of the 1st COVID-19 detection challenge. |
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Junlin Hou, Jilan Xu, Longquan Jiang, Shanshan Du, Rui Feng, Yuejie Zhang, Fei Shan, Xiangyang Xue Pattern Recognition 2021 code A novel diagnosis approach with spatial pattern prior and representation enhancement mechanism is proposed to distinguish COVID-19 in the complex scenario of multi-type pneumonia classification.. |
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Workshop/Challenge Organizer :
Reviewer :
Teaching Assistant : Theory of Computation |
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This guy is good at website design. |