News

Jan, 2025 One paper on fairness learning for glaucoma detection is accepted to npj Digital Medicine. Check out the paper here.
Jul, 2024 One paper on fairness under domain shift is accepted to ECCV 2024. Check out the paper and dataset here.
May, 2024 Two recent papers are accepted to Medical Image Analysis. One about artifact correction and another about malignant breast lesion detection.
Feb, 2024 One paper is accepted to IEEE Transactions on Medical Imaging (TMI).
Feb, 2024 Two papers are accepted to CVPR2024.
Feb, 2024 One paper on OoD detection for NLP systems is accepted in COLING2024.
Jan, 2024 Two papers are accepted in ICLR2024. One about fairness learning and another about zero-shot anomaly detection.
Aug, 2023 One paper about medical anomaly detection is accepted in MICCAI-MLMI.
Jul, 2023 4 papers are accepted in ICCV 2023.
Jul, 2023 One paper about artifact correction is accepted in IEEE Journal of Biomedical and Health Informatics (JBHI).
Jul, 2023 One paper about medical anomaly detection is accepted in Medical Image Analysis.
Mar, 2023 Call for Participation for our CVPR 2023 tutorial on Recent Advances in Anomaly Detection.
Mar, 2023 One ARVO Imaging abstract is selected as oral presentation.
Mar, 2023 9 abstracts are accepted in ARVO and 6 abstracts are accepted in ARVO Imaging.
Nov, 2022 Invited to give a talk at USTC Suzhou Institute of Advanced Research about my recent works in anomaly/ood detection.
Sep, 2022 Invited to give a talk at GESA Research Workshop 2022 about Anomaly Detection in Medical Imaging.
Aug, 2022 I have finished my PhD and joined Harvard Ophthalmology AI Lab as a postdoctoral research fellow.
Jul, 2022 One paper on anomaly/ood segmentation for urban driving scenes accepted to ECCV 2022 - selected for oral presentation.
May, 2022 Invited to be the reviewer of IEEE Transactions on Image Processing.
May, 2022 Four papers are early accepted to MICCAI 2022.
May, 2022 Invited to be the PC memeber of ANDEA workshop at KDD 2022.
Mar, 2022 Two papers on semi-supervised learning accepted to CVPR 2022.
Feb, 2022 Our paper on one class classification is selected as oral in AAAI 2022 (see preprint).
Jan, 2022 Invited to be the reviewer of MICCAI 2022, ECCV 2022, and TPAMI.
Dec, 2021 One paper on one-class classification is accepted by AAAI 2022 (see preprint and code).
Sep, 2021 Invited to be the reviewer of AAAI 2022, CVPR 2022, and TMI.
Sep, 2021 Invited talk at IJCAI Workshop on “AI for Anomalies and Novelties” about my video anomaly detection paper.
Jul, 2021 The code and checkpoints of RTFM (ICCV 2021) are uploaded at Github.
Jul, 2021 One paper on weakly supervised video anomaly detection is accepted by ICCV 2021 (see preprint).
Jun, 2021 One paper on unsupervised anomaly detection for medical images is accepted by MICCAI 2021 (see preprint).
May, 2021 Invited book chaptor on polyp classification, detection and localisation in Deep Learning for Medical Image Analysis (second edition)(see preprint).
Jan, 2021 Invited to be PC member of MICCAI 2021 (a.k.a. reviewer) and ICCV 2021 (a.k.a. reviewer).
Dec, 2020 Invited to be reviewer of IEEE Transactions on Neural Networks and Learning Systems.
Jul, 2020 Interview about our polyp classification paper – news article
Jul, 2020 Interview about our polyp classification paper – news article
Jun, 2020 One paper on few-shot anomaly detection is accepted by MICCAI 2020 (see preprint).
Mar, 2020 One paper on computer-aided diagnosis for characterization of colorectal lesions is accepted by Gastrointestinal Esndoscopy (GIE).
Nov, 2019 Selected as a finalist for the Minister’s Research and Innovation Award with the project Computer Aided Diagnosis using Artificial Intelligence in Colorectal Polyps