Publications

My published papers and preprints.

2025

    2024

    1. TCSS
      Deep Masked Graph Node Clustering
      Jinbin Yang, Jinyu Cai, Luying Zhong, Yueyang Pi, and Shiping Wang
      IEEE Transactions on Computational Social Systems 2024
    2. NCAA
      Deep graph-level clustering using pseudo-label-guided mutual information maximization network
      Jinyu Cai, Yi Han, Wenzhong Guo, and Jicong Fan
      Neural Computing and Applications 2024
    3. ICLR
      Deep Orthogonal Hypersphere Compression for Anomaly Detection
      Yunhe Zhang, Yan Sun, Jinyu Cai, and Jicong Fan
      In Proceedings of the Twelfth International Conference on Learning Representations (ICLR Spotlight) 2024
    4. TMM
      Wasserstein Embedding Learning for Deep Clustering: A Generative Approach
      Jinyu Cai, Yunhe Zhang, Shiping Wang, Jicong Fan, and Wenzhong Guo
      IEEE Transactions on Multimedia 2024
    5. IJCAI
      Kernel Readout for Graph Neural Networks
      Jiajun Yu, Zhihao Wu, Adele Jia, Jinyu Cai, and Jicong Fan
      In The International Joint Conference on Artificial Intelligence (IJCAI) 2024
    6. IJCAI
      Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment
      Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, and Wenzhong Guo
      In The International Joint Conference on Artificial Intelligence (IJCAI) 2024
    7. IJCAI
      LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
      Jinyu Cai, Yunhe Zhang, Jicong Fan, and See-Kiong Ng
      In The International Joint Conference on Artificial Intelligence (IJCAI) 2024
    8. MM
      Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation
      Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, and See-kiong Ng
      ACM Multimedia 2024

    2023

    1. IS
      Label correction using contrastive prototypical classifier for noisy label learning
      Chaoyang Xu, Renjie Lin, Jinyu Cai, and Shiping Wang
      Information Sciences 2023

    2022

    1. NeurIPS
      Perturbation learning based anomaly detection
      Jinyu Cai, and Jicong Fan
      In Advances in Neural Information Processing Systems (NeurIPS) 2022
    2. CVPR
      Efficient deep embedded subspace clustering
      Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, and Zhao Zhang
      In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
    3. PR
      Unsupervised deep clustering via contractive feature representation and focal loss
      Jinyu Cai, Shiping Wang, Chaoyang Xu, and Wenzhong Guo
      Pattern Recognition 2022
    4. KBS
      Deep image clustering by fusing contrastive learning and neighbor relation mining
      Chaoyang Xu, Renjie Lin, Jinyu Cai, and Shiping Wang
      Knowledge-Based Systems 2022

    2021

    1. ESWA
      Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder
      Jinyu Cai, Shiping Wang, and Wenzhong Guo
      Expert Systems with Applications 2021

    2020

    1. APIN
      Unsupervised discriminative feature representation via adversarial auto-encoder
      Wenzhong Guo, Jinyu Cai, and Shiping Wang
      Applied Intelligence 2020

    Preprints

    1. Preprint
      Self-Discriminative Modeling for Anomalous Graph Detection
      Jinyu Cai, Yunhe Zhang, and Jicong Fan
      Submitted to TPAMI 2024
    2. Arxiv
      discDC: Unsupervised Discriminative Deep Clustering via Confidence-Driven Self-Labeling
      Jinyu Cai, Wenzhong Guo, and Jicong Fan
      ArXiv preprint arXiv:2206.04686 (Submitted to TNNLS) 2024