2025 2024 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}, } 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}, } 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}, } 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}, } 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}, } 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 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 = {The International Joint Conference on Artificial Intelligence (IJCAI)}, year = {2024}, } 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 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 = {The International Joint Conference on Artificial Intelligence (IJCAI)}, year = {2024}, } 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 Bib PDF Code @article{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}, journal = {ACM Multimedia}, year = {2024}, } 2023 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 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}, } 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}, } 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}, } 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 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 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 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}, } 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}, }