Yinlin Zhu - RankMe

32 papers A* 4A 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapter-Augmented Bandits for Online Multi-Constrained Multi-Modal Inference Scheduling. CoRR Xianzhi Zhang, Yue Xu, Yinlin Zhu, Di Wu, Yipeng Zhou, Miao Hu, Guocong Quan
2026	J	`jnl`	Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs. CoRR Yinlin Zhu, Di Wu, Xu Wang, Guocong Quan, Miao Hu
2026	J	`jnl`	MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning. CoRR Xunkai Li, Yuming Ai, Yinlin Zhu, Haodong Lu, Yi Zhang, Guohao Fu, Bowen Fan, Qiangqiang Dai, Rong-Hua Li, Guoren Wang
2026	A*	`conf`	PAGE: A Unified Approach for Federated Graph Unlearning. AAAI Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach. CoRR Yinlin Zhu, Di Wu, Xianzhi Zhang, Yuming Ai, Xunkai Li, Miao Hu, Guocong Quan
2026	A*	`conf`	Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective. AAAI Wang Luo, Di Wu, Hengyuan Na, Yinlin Zhu, Miao Hu, Guocong Quan
2026	J	`jnl`	TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution. CoRR Yinlin Zhu, Xunkai Li, Di Wu, Wang Luo, Miao Hu
2026	J	`jnl`	Towards effective few-shot OOD detection for text-attributed graphs via topology-Text consensus modeling. Knowl. Based Syst. Xu Wang, Yinlin Zhu, Xunkai Li, Meixia Qu, Wenyu Wang
2025	J	`jnl`	A Comprehensive Data-centric Overview of Federated Graph Learning. CoRR Zhengyu Wu, Xunkai Li, Yinlin Zhu, Zekai Chen, Guochen Yan, Yanyu Yan, Hao Zhang, Yuming Ai, Xinmo Jin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning. CoRR Lianshuai Guo, Zhongzheng Yuan, Xunkai Li, Yinlin Zhu, Meixia Qu, Wenyu Wang
2025	J	`jnl`	FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling. CoRR Zhengyu Wu, Yinlin Zhu, Xunkai Li, Ziang Qiu, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning. CoRR Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation. Neural Networks Qi Lin, Jishuo Jia, Yinlin Zhu, Xunkai Li, Bin Jiang, Meixia Qu
2025	J	`jnl`	FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting. CoRR Zhongzheng Yuan, Lianshuai Guo, Xunkai Li, Yinlin Zhu, Wenyu Wang, Meixia Qu
2025	—	`conf`	Federated Continual Graph Learning. KDD (2) Yinlin Zhu, Miao Hu, Di Wu
2025	J	`jnl`	Federated Graph Unlearning. CoRR Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Federated Prototype Graph Learning. CoRR Zhengyu Wu, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. Proc. VLDB Endow. Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Ronghua Li, Guoren Wang
2025	A	`conf`	Rethinking Client-oriented Federated Graph Learning. CIKM Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	A*	`conf`	Rethinking Federated Graph Learning: A Data Condensation Perspective. IJCAI Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu
2025	J	`jnl`	Rethinking Federated Graph Learning: A Data Condensation Perspective. CoRR Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu
2025	J	`jnl`	Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective. CoRR Wang Luo, Di Wu, Hengyuan Na, Yinlin Zhu, Miao Hu, Guocong Quan
2025	J	`jnl`	Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach. CoRR Huilin Lai, Guang Zeng, Xunkai Li, Xudong Shen, Yinlin Zhu, Ye Luo, Jianwei Lu, Lei Zhu
2025	J	`jnl`	Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement. CoRR Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu
2025	J	`jnl`	Towards Unbiased Federated Graph Learning: Label and Topology Perspectives. CoRR Zhengyu Wu, Boyang Pang, Xunkai Li, Yinlin Zhu, Daohan Su, Bowen Fan, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2024	J	`jnl`	FedGTA: Topology-aware Averaging for Federated Graph Learning. CoRR Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. IJCAI Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
2024	J	`jnl`	FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. CoRR Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
2024	J	`jnl`	Federated Continual Graph Learning. CoRR Yinlin Zhu, Xunkai Li, Miao Hu, Di Wu
2024	J	`jnl`	OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. CoRR Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	FedGTA: Topology-aware Averaging for Federated Graph Learning. Proc. VLDB Endow. Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang
2023	J	`jnl`	LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis. Neural Networks Haotong Wei, Yinlin Zhu, Xunkai Li, Bin Jiang