SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. - Wenjie Li 008; Xue Yang 003; Xiaohu Tang; Shutao Xia (IJCNN, 2020)

Stochastic Deep Gaussian Processes over Graphs. - Naiqi Li; Wenjie Li 008; Jifeng Sun; Yinghua Gao; Yong Jiang 001; Shu-Tao Xia (NeurIPS, 2020)

H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. - Naiqi Li; Yinghua Gao; Wenjie Li 008; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2021)

Deep Dirichlet process mixture models. - Naiqi Li; Wenjie Li 008; Yong Jiang 001; Shu-Tao Xia (UAI, 2022)

Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer. - Wenjie Li 008; Qiaolin Xia; Junfeng Deng; Hao Cheng; Jiangming Liu; Kouying Xue; Yong Cheng; Shu-Tao Xia (CoRR, 2022)

Vertical Semi-Federated Learning for Efficient Online Advertising. - Wenjie Li 008; Qiaolin Xia; Hao Cheng; Kouying Xue; Shu-Tao Xia (CoRR, 2022)

A Game-theoretic Framework for Federated Learning. - Xiaojin Zhang 002; Lixin Fan; Siwei Wang; Wenjie Li 008; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

Theoretically Principled Federated Learning for Balancing Privacy and Utility. - Xiaojin Zhang 002; Wenjie Li 008; Kai Chen 005; Shutao Xia; Qiang Yang 001 (CoRR, 2023)

ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. - Wenjie Li 008; Zhongren Wang; Jinpeng Wang 002; Shutao Xia; Jile Zhu; Mingjian Chen; Jiangke Fan; Jia Cheng; Jun Lei (SIGIR, 2024)

Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense. - Wenjie Li 008; Kai Fan 001; Jingyuan Zhang; Hui Li 006; Wei Yang Bryan Lim; Qiang Yang 001 (CoRR, 2024)

FLSG: A Novel Defense Strategy Against Inference Attacks in Vertical Federated Learning. - Kai Fan 001; Jingtao Hong; Wenjie Li 008; Xingwen Zhao; Hui Li 006; Yintang Yang (IEEE Internet Things J., 2024)

PBFL: Privacy-Preserving and Byzantine-Robust Federated-Learning-Empowered Industry 4.0. - Wenjie Li 008; Kai Fan 001; Kan Yang 001; Yintang Yang; Hui Li 006 (IEEE Internet Things J., 2024)

Node-Level Graph Regression With Deep Gaussian Process Models. - Naiqi Li; Wenjie Li 008; Yinghua Gao; Yiming Li 004; Jigang Bao; Ercan E. Kuruoglu; Yong Jiang 001; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

A Game-theoretic Framework for Privacy-preserving Federated Learning. - Xiaojin Zhang 002; Lixin Fan; Siwei Wang; Wenjie Li 008; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning. - Fuyao Zhang; Wenjie Li 008; Yurong Hao; Xinyu Yan; Yang Cao 011; Wei Yang Bryan Lim (CoRR, 2025)

Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense. - Wenjie Li 008; Kai Fan 001; Jingyuan Zhang; Hui Li 006; Wei Yang Bryan Lim; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2025)