Resume
Academic Achievements
- 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).