Wenjie Li - RankMe

24 papers A* 4A 1B 1Misc 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation. IEEE Trans. Knowl. Data Eng. Xinyi Gao, Wenjie Li, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026	A*	`conf`	Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. AAAI Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2026	A*	`conf`	Vertical Semi-Federated Learning for Efficient Online Advertising. WWW Wenjie Li, Shu-Tao Xia, Jiangke Fan, Teng Zhang, Xingxing Wang
2025	J	`jnl`	Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark. CoRR Wenjie Li, Siying Gu, Yiming Li, Kangjie Chen, Zhili Chen, Tianwei Zhang, Shu-Tao Xia, Dacheng Tao
2025	J	`jnl`	DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents. CoRR Fuyao Zhang, Jiaming Zhang, Che Wang, Xiongtao Sun, Yurong Hao, Guowei Guan, Wenjie Li, Longtao Huang, Wei Yang Bryan Lim
2025	J	`jnl`	Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense. IEEE Trans. Knowl. Data Eng. Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
2025	J	`jnl`	Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. CoRR Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2025	—	`conf`	Secure and Scalable Face Retrieval via Cancelable Product Quantization. PRCV (6) Haomiao Tang, Wenjie Li, Yixiang Qiu, Genping Wang, Shu-Tao Xia
2025	J	`jnl`	Secure and Scalable Face Retrieval via Cancelable Product Quantization. CoRR Haomiao Tang, Wenjie Li, Yixiang Qiu, Genping Wang, Shu-Tao Xia
2025	J	`jnl`	Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning. CoRR Fuyao Zhang, Wenjie Li, Yurong Hao, Xinyu Yan, Yang Cao, Wei Yang Bryan Lim
2024	J	`jnl`	A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
2024	J	`jnl`	Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense. CoRR Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
2024	J	`jnl`	FLSG: A Novel Defense Strategy Against Inference Attacks in Vertical Federated Learning. IEEE Internet Things J. Kai Fan, Jingtao Hong, Wenjie Li, Xingwen Zhao, Hui Li, Yintang Yang
2024	J	`jnl`	Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
2024	J	`jnl`	PBFL: Privacy-Preserving and Byzantine-Robust Federated-Learning-Empowered Industry 4.0. IEEE Internet Things J. Wenjie Li, Kai Fan, Kan Yang, Yintang Yang, Hui Li
2024	A*	`conf`	ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. SIGIR Wenjie Li, Zhongren Wang, Jinpeng Wang, Shutao Xia, Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei
2023	J	`jnl`	A Game-theoretic Framework for Federated Learning. CoRR Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
2023	J	`jnl`	Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang
2022	A	`conf`	Deep Dirichlet process mixture models. UAI Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer. CoRR Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia
2022	J	`jnl`	Vertical Semi-Federated Learning for Efficient Online Advertising. CoRR Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia
2021	Misc	`conf`	H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
2020	B	`conf`	SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. IJCNN Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia
2020	A*	`conf`	Stochastic Deep Gaussian Processes over Graphs. NeurIPS Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia