Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond. - Chuan Chen 001; Zhenpeng Wu; Yanyi Lai; Wenlin Ou; Tianchi Liao; Zibin Zheng (CoRR, 2023)

VeryFL: A Verify Federated Learning Framework Embedded with Blockchain. - Yihao Li; Yanyi Lai; Chuan Chen 001; Zibin Zheng (CoRR, 2023)

Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform. - Yihao Li; Yanyi Lai; Tianchi Liao; Chuan Chen 001; Zibin Zheng (CoRR, 2023)

FedSeProto: Learning Semantic Prototype in Federated Learning. - Yanyi Lai; Lele Fu; Tianchi Liao; Chuan Chen 001; Zibin Zheng (ECAI, 2024)

Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. - Lele Fu; Sheng Huang; Yanyi Lai; Tianchi Liao; Chuanfu Zhang; Chuan Chen 001 (AAAI, 2025)

Federated Domain-Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift. - Lele Fu; Sheng Huang; Yanyi Lai; Chuanfu Zhang; Hong-Ning Dai; Zibin Zheng; Chuan Chen 001 (IEEE Trans. Mob. Comput., 2025)