Paper 'Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging' early accepted by MICCAI 2024 (acceptance rate 11%).
Paper 'Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification' published in Journal of Investigative Dermatology (5-year IF=6.7, JCR Q1).
Paper 'Scale Federated Learning for Label Set Mismatch in Medical Image Classification' early accepted by MICCAI 2023 (acceptance rate 14%).
Paper 'Dose Reduction in Digital Breast Tomosynthesis' accepted by IEEE EMBC 2023.
Co-authored book chapter 'Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging' published in 'Advances in Intelligent Disease Diagnosis and Treatment' in September 2024.
Serves as reviewer for international conferences (e.g., MICCAI, SMC) and journals (e.g., IEEE TMI, TNNLS, IEEE IoT Journal).