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Wenjie Li 0008
Person information
- affiliation: Tsinghua University, Beijing, China
Other persons with the same name
- Wenjie Li — disambiguation page
- Wenjie Li 0001 — CNRS, CentraleSupelec, Université Paris-Sud, France (and 1 more)
- Wenjie Li 0002 — Hong Kong Polytechnic University, Department of Computing (and 1 more)
- Wenjie Li 0003 — Nanjing University, School of Electronic Science and Engineering, China
- Wenjie Li 0004 — Chinese Academy of Sciences, State Key Laboratory of Computer Architecture, Institute of Computing Technology, Beijing, China
- Wenjie Li 0005 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Wenjie Li 0006 — University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
- Wenjie Li 0007 — Queen's University, School of Computing, Kingston, Canada
- Wenjie Li 0009 — Kunming University of Science and Technology, Department of Mathematics, Yunnan, China
- Wenjie Li 0010 — Qufu Normal University, School of Engineering, Rizhao, China
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2020 – today
- 2024
- [j4]Kai Fan, Jingtao Hong, Wenjie Li, Xingwen Zhao, Hui Li, Yintang Yang:
FLSG: A Novel Defense Strategy Against Inference Attacks in Vertical Federated Learning. IEEE Internet Things J. 11(2): 1816-1826 (2024) - [j3]Wenjie Li, Kai Fan, Kan Yang, Yintang Yang, Hui Li:
PBFL: Privacy-Preserving and Byzantine-Robust Federated-Learning-Empowered Industry 4.0. IEEE Internet Things J. 11(4): 7128-7140 (2024) - [j2]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): 3257-3269 (2024) - [j1]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): 52:1-52:35 (2024) - [c5]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: 1763-1773 - [i5]Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang:
Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense. CoRR abs/2405.18802 (2024) - 2023
- [i4]Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Federated Learning. CoRR abs/2304.05836 (2023) - [i3]Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang:
Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR abs/2305.15148 (2023) - 2022
- [c4]Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia:
Deep Dirichlet process mixture models. UAI 2022: 1138-1147 - [i2]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 abs/2205.15987 (2022) - [i1]Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia:
Vertical Semi-Federated Learning for Efficient Online Advertising. CoRR abs/2209.15635 (2022) - 2021
- [c3]Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia:
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP 2021: 2955-2959 - 2020
- [c2]Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia:
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. IJCNN 2020: 1-8 - [c1]Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia:
Stochastic Deep Gaussian Processes over Graphs. NeurIPS 2020
Coauthor Index
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