When Digital Economy Meets Web 3.0: Applications and Challenges. - Chuan Chen 001; Lei Zhang 183; Yihao Li; Tianchi Liao; Siran Zhao; Zibin Zheng; Huawei Huang; Jiajing Wu (CoRR, 2022)

When Digital Economy Meets Web3.0: Applications and Challenges. - Chuan Chen 001; Lei Zhang 183; Yihao Li; Tianchi Liao; Siran Zhao; Zibin Zheng; Huawei Huang; Jiajing Wu (IEEE Open J. Comput. Soc., 2022)

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)

Migrate Demographic Group For Fair GNNs. - Yanming Hu; Tianchi Liao; Jialong Chen; Chuan Chen 001; Jing Bian; 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)

Tensor completion via convolutional sparse coding with small samples-based training. - Tianchi Liao; Zhebin Wu; Chuan Chen 001; Zibin Zheng; Xiongjun Zhang (Pattern Recognit., 2023)

Improving Message-Passing GNNs by Asynchronous Aggregation. - Jialong Chen; Tianchi Liao; Chuan Chen 001; Zibin Zheng (CIKM, 2024)

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

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. - Tianchi Liao; Lele Fu; Jialong Chen; Zhen Wang 036; Zibin Zheng; Chuan Chen 001 (NeurIPS, 2024)

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. - Ziyue Xu 002; Mingfeng Xu; Tianchi Liao; Zibin Zheng; Chuan Chen 001 (CoRR, 2024)

Advances in Robust Federated Learning: Heterogeneity Considerations. - Chuan Chen 001; Tianchi Liao; Xiaojun Deng; Zihou Wu; Sheng Huang; Zibin Zheng (CoRR, 2024)

Migrate demographic group for fair Graph Neural Networks. - Yanming Hu; Tianchi Liao; Jialong Chen; Jing Bian; Zibin Zheng; Chuan Chen 001 (Neural Networks, 2024)

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. - Siran Zhao; Tianchi Liao; Lele Fu; Chuan Chen 001; Jing Bian; Zibin Zheng (Neural Networks, 2024)

A neural tensor decomposition model for high-order sparse data recovery. - Tianchi Liao; Jinghua Yang; Chuan Chen 001; Zibin Zheng (Inf. Sci., 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)

Robust and Efficient Clustered Federated Learning via Adaptive Self-Expressive Representations for Tackling Data Heterogeneity. - Wenlin Ou; Tianchi Liao; Chuan Chen 001 (ICIC (9), 2025)

CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data. - Tianchi Liao; Lei Zhang 183; Jinghua Yang; Chuan Chen 001; Zibin Zheng (Neurocomputing, 2025)

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. - Tianchi Liao; Lele Fu; Lei Zhang 183; Lei Yang 030; Chuan Chen 001; Michael Kwok-Po Ng; Huawei Huang; Zibin Zheng (IEEE Trans. Inf. Forensics Secur., 2025)

FGTL: Federated Graph Transfer Learning for Node Classification. - Chengyuan Mai; Tianchi Liao; Chuan Chen 001; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2025)

Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations. - Chuan Chen 001; Tianchi Liao; Xiaojun Deng; Zihou Wu; Sheng Huang; Zibin Zheng (IEEE Trans. Big Data, 2025)