Cai, Jinyu

13 publications

ICLR 2026 Escaping the Homophily Trap: A Threshold-Free Graph Outlier Detection Framework via Clustering-Guided Edge Reweighting Yunhe Zhang, Jinyu Cai, Qi Hao, Pengyang Wang, See-Kiong Ng

ICML 2025 Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng

AAAI 2025 Mixture of Experts as Representation Learner for Deep Multi-View Clustering Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng

AAAI 2025 Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng

ICML 2025 Self-Discriminative Modeling for Anomalous Graph Detection Jinyu Cai, Yunhe Zhang, Jicong Fan

NeurIPS 2025 Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection Jinyu Cai, Yuan Xie, Glynnis Lim, Yifang Yin, Roger Zimmermann, See-Kiong Ng

NeurIPS 2025 Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts Zhihao Wu, Jinyu Cai, Yunhe Zhang, Jielong Lu, Zhaoliang Chen, Shuman Zhuang, Haishuai Wang

ICLR 2024 Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan

IJCAI 2024 Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo

IJCAI 2024 Kernel Readout for Graph Neural Networks Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan

IJCAI 2024 LG-FGAD: An Effective Federated Graph Anomaly Detection Framework Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng

CVPR 2022 Efficient Deep Embedded Subspace Clustering Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang

NeurIPS 2022 Perturbation Learning Based Anomaly Detection Jinyu Cai, Jicong Fan