Publications

2025

1. AAAI (Oral)

   Mixture of Experts as Representation Learner for Deep Multi-View Clustering

   Yunhe Zhang, Jinyu Cai*, Zhihao Wu, Pengyang Wang, and See-Kiong Ng

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Oral) 2025

   Bib Code

   @inproceedings{zhang2025DMVCCE,
     title = {Mixture of Experts as Representation Learner for Deep Multi-View Clustering},
     author = {Zhang, Yunhe and Cai*, Jinyu and Wu, Zhihao and Wang, Pengyang and Ng, See-Kiong},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Oral)},
     pages = {},
     year = {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

   Bib PDF

   @article{yang2024DMGNC,
     title = {Deep Masked Graph Node Clustering},
     author = {Yang, Jinbin and Cai, Jinyu and Zhong, Luying and Pi, Yueyang and Wang, Shiping},
     journal = {IEEE Transactions on Computational Social Systems},
     year = {2024},
     publisher = {IEEE},
   }

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

   Bib PDF Code

   @article{cai2024deep,
     title = {Deep graph-level clustering using pseudo-label-guided mutual information maximization network},
     author = {Cai, Jinyu and Han, Yi and Guo, Wenzhong and Fan, Jicong},
     journal = {Neural Computing and Applications},
     pages = {1--16},
     year = {2024},
     publisher = {Springer},
   }

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

   Bib PDF Code

   @inproceedings{zhang2024deep,
     title = {Deep Orthogonal Hypersphere Compression for Anomaly Detection},
     author = {Zhang, Yunhe and Sun, Yan and Cai, Jinyu and Fan, Jicong},
     booktitle = {Proceedings of the Twelfth International Conference on Learning Representations (ICLR Spotlight)},
     year = {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

   Bib PDF

   @article{cai2024wasserstein,
     title = {Wasserstein Embedding Learning for Deep Clustering: A Generative Approach},
     author = {Cai, Jinyu and Zhang, Yunhe and Wang, Shiping and Fan, Jicong and Guo, Wenzhong},
     journal = {IEEE Transactions on Multimedia},
     year = {2024},
     publisher = {IEEE},
   }

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

   Bib Code

   @inproceedings{yu2024kernel,
     author = {Yu, Jiajun and Wu, Zhihao and Jia, Adele and Cai, Jinyu and Fan, Jicong},
     title = {Kernel Readout for Graph Neural Networks},
     booktitle = {The International Joint Conference on Artificial Intelligence (IJCAI)},
     year = {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 Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2024

   Bib Code

   @inproceedings{cai2024dual,
     author = {Cai, Jinyu and Zhang, Yunhe and Fan, Jicong and Du, Yali and Guo, Wenzhong},
     title = {Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment},
     booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
     pages = {3770--3779},
     year = {2024},
   }

7. IJCAI

   LG-FGAD: An Effective Federated Graph Anomaly Detection Framework

   Jinyu Cai, Yunhe Zhang, Jicong Fan, and See-Kiong Ng

   In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2024

   Bib Code

   @inproceedings{cai2024lgfgad,
     author = {Cai, Jinyu and Zhang, Yunhe and Fan, Jicong and Ng, See-Kiong},
     title = {LG-FGAD: An Effective Federated Graph Anomaly Detection Framework},
     booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
     pages = {3760--3769},
     year = {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

   In Proceedings of the 32nd ACM International Conference on Multimedia (MM) 2024

   Bib PDF Code

   @inproceedings{cai2024fgad,
     title = {Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation},
     author = {Cai, Jinyu and Zhang*, Yunhe and Lu, Zhoumin and Guo, Wenzhong and Ng, See-Kiong},
     booktitle = {Proceedings of the 32nd ACM International Conference on Multimedia (MM)},
     pages = {5537--5546},
     year = {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

   Bib PDF

   @article{xu2023label,
     title = {Label correction using contrastive prototypical classifier for noisy label learning},
     author = {Xu, Chaoyang and Lin, Renjie and Cai, Jinyu and Wang, Shiping},
     journal = {Information Sciences},
     volume = {649},
     pages = {119647},
     year = {2023},
     publisher = {Elsevier},
   }

2022

1. NeurIPS

   Perturbation learning based anomaly detection

   Jinyu Cai, and Jicong Fan

   In Advances in Neural Information Processing Systems (NeurIPS) 2022

   Bib PDF Code

   @inproceedings{cai2022plad,
     author = {Cai, Jinyu and Fan, Jicong},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     title = {Perturbation learning based anomaly detection},
     pages = {14317--14330},
     year = {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

   Bib PDF Code

   @inproceedings{cai2022edesc,
     title = {Efficient deep embedded subspace clustering},
     author = {Cai, Jinyu and Fan, Jicong and Guo, Wenzhong and Wang, Shiping and Zhang, Yunhe and Zhang, Zhao},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {1--10},
     year = {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

   Bib PDF

   @article{cai2022dccf,
     title = {Unsupervised deep clustering via contractive feature representation and focal loss},
     author = {Cai, Jinyu and Wang, Shiping and Xu, Chaoyang and Guo, Wenzhong},
     journal = {Pattern Recognition},
     volume = {123},
     pages = {108386},
     year = {2022},
     publisher = {Elsevier},
   }

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

   Bib PDF

   @article{xu2022deep,
     title = {Deep image clustering by fusing contrastive learning and neighbor relation mining},
     author = {Xu, Chaoyang and Lin, Renjie and Cai, Jinyu and Wang, Shiping},
     journal = {Knowledge-Based Systems},
     volume = {238},
     pages = {107967},
     year = {2022},
     publisher = {Elsevier},
   }

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

   Bib PDF

   @article{cai2021dssec,
     author = {Cai, Jinyu and Wang, Shiping and Guo, Wenzhong},
     journal = {Expert Systems with Applications},
     volume = {186},
     pages = {115729},
     year = {2021},
     publisher = {Elsevier},
   }

2020

1. APIN

   Unsupervised discriminative feature representation via adversarial auto-encoder

   Wenzhong Guo, Jinyu Cai, and Shiping Wang

   Applied Intelligence 2020

   Bib PDF

   @article{guo2020unsupervised,
     author = {Guo, Wenzhong and Cai, Jinyu and Wang, Shiping},
     journal = {Applied Intelligence},
     volume = {50},
     pages = {1155--1171},
     year = {2020},
     publisher = {Springer},
   }

Preprints

1. Preprint

   Self-Discriminative Modeling for Anomalous Graph Detection

   Jinyu Cai, Yunhe Zhang, and Jicong Fan

   Submitted to TPAMI 2024

   Bib

   @article{cai2024self,
     author = {Cai, Jinyu and Zhang, Yunhe and Fan, Jicong},
     journal = {Submitted to TPAMI},
     title = {Self-Discriminative Modeling for Anomalous Graph Detection},
     year = {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

   Bib

   @article{cai2024discDC,
     author = {Cai, Jinyu and Guo, Wenzhong and Fan, Jicong},
     journal = {ArXiv preprint arXiv:2206.04686 (Submitted to TNNLS)},
     title = {discDC: Unsupervised Discriminative Deep Clustering via Confidence-Driven Self-Labeling},
     year = {2024},
   }