Robust Skin-Feature Tracking in Free-Hand Video from Smartphone or Robot-Held Camera, to Enable Clinical-Tool Localization and Guidance. - Chun-Yin Huang; John M. Galeotti (ICRA, 2021)

DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain. - Garima Aggarwal; Chun-Yin Huang; Di Fan; Xiaoxiao Li; Zehua Wang (DeCaF/FAIR@MICCAI, 2022)

Efficient Medical Image Assessment via Self-supervised Learning. - Chun-Yin Huang; Qi Lei; Xiaoxiao Li (DALI@MICCAI, 2022)

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. - Chun-Yin Huang; Ruinan Jin; Can Zhao 001; Daguang Xu; Xiaoxiao Li (CoRR, 2023)

Scalable Data Point Valuation in Decentralized Learning. - Konstantin D. Pandl; Chun-Yin Huang; Ivan Beschastnikh; Xiaoxiao Li; Scott Thiebes; Ali Sunyaev (CoRR, 2023)

A Dataset Auditing Method for Collaboratively Trained Machine Learning Models. - Yangsibo Huang; Chun-Yin Huang; Xiaoxiao Li; Kai Li 001 (IEEE Trans. Medical Imaging, 2023)

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors. - Chun-Yin Huang; Kartik Srinivas; Xin Zhang; Xiaoxiao Li (ICML, 2024)

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP. - Ruinan Jin; Chun-Yin Huang; Chenyu You; Xiaoxiao Li (SaTML, 2024)

Communication Compression for Distributed Learning without Control Variates. - Tomàs Ortega; Chun-Yin Huang; Xiaoxiao Li; Hamid Jafarkhani (CoRR, 2024)

Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation. - Chun-Yin Huang; Ruinan Jin; Can Zhao 001; Daguang Xu; Xiaoxiao Li (Trans. Mach. Learn. Res., 2025)