Wenjie Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Gaussian Process

Top Venues

IEEE Trans. Artif. Intell.

Publications

Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5 (6) (2024)
Wenjie Li, Zhongren Wang, Jinpeng Wang, Shutao Xia, Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei
ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. SIGIR (2024)
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia
Deep Dirichlet process mixture models. UAI (2022)
Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer. CoRR (2022)
Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia
Vertical Semi-Federated Learning for Efficient Online Advertising. CoRR (2022)
Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP (2021)
Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. IJCNN (2020)
Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
Stochastic Deep Gaussian Processes over Graphs. NeurIPS (2020)