Publications

2026

1. IPM

   Cross-modal Information Propagation for Contrastive Multi-modal Clustering

   Tongji Chen^*, Guoliang Zou^*, Shizhe Hu, and Yangdong Ye

   Information Processing & Management, 2026

   Bib

   @article{Chen_IPM2026,
     title = {Cross-modal Information Propagation for Contrastive Multi-modal Clustering},
     journal = {Information Processing & Management},
     year = {2026},
     author = {Chen, Tongji and Zou, Guoliang and Hu, Shizhe and Ye, Yangdong},
   }

2. AAAI [Oral]

   Interest-driven Deep Multi-modal Clustering

   Guoliang Zou, Tongji Chen, Sijia Li, Jin Qin, Yangdong Ye, and Shizhe Hu

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

   Bib

   @inproceedings{Zou_AAAI2026,
     author = {Zou, Guoliang and Chen, Tongji and Li, Sijia and Qin, Jin and Ye, Yangdong and Hu, Shizhe},
     title = {Interest-driven Deep Multi-modal Clustering},
     year = {2026},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
   }

2025

1. INS

   Dual global information guidance for deep contrastive multi-modal clustering

   Guoliang Zou, Shizhe Hu, Tongji Chen, Yunpeng Wu, and Yangdong Ye

   Information Sciences, 2025

   Bib PDF

   @article{Zou_INS2025,
     title = {Dual global information guidance for deep contrastive multi-modal clustering},
     journal = {Information Sciences},
     volume = {712},
     pages = {122158},
     year = {2025},
     author = {Zou, Guoliang and Hu, Shizhe and Chen, Tongji and Wu, Yunpeng and Ye, Yangdong},
   }

2. TNNLS

   Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning

   Shizhe Hu, Chengkun Zhang, Guoliang Zou, Zhengzheng Lou, and Yangdong Ye

   IEEE Transactions on Neural Networks and Learning Systems, 2025

   Bib PDF

   @article{Hu_TNNLS2024,
     author = {Hu, Shizhe and Zhang, Chengkun and Zou, Guoliang and Lou, Zhengzheng and Ye, Yangdong},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     title = {Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning},
     year = {2025},
     volume = {36},
     number = {2},
     pages = {3646-3658},
   }

3. AAAI

   Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering

   Shizhe Hu, Jiahao Fan, Guoliang Zou^*, and Yangdong Ye^*

   Proceedings of the AAAI Conference on Artificial Intelligence, 2025

   Bib PDF

   @article{Hu_AAAI2025,
     title = {Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering},
     volume = {39},
     number = {16},
     journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
     author = {Hu, Shizhe and Fan, Jiahao and Zou, Guoliang and Ye, Yangdong},
     year = {2025},
     pages = {17314-17322},
   }

2024

1. ACM MM

   Learning Dual Enhanced Representation for Contrastive Multi-view Clustering

   Guoliang Zou, Yangdong Ye, Tongji Chen, and Shizhe Hu

   In Proceedings of the 32nd ACM International Conference on Multimedia, 2024

   Bib PDF

   @inproceedings{Zou_ACMMM2024,
     author = {Zou, Guoliang and Ye, Yangdong and Chen, Tongji and Hu, Shizhe},
     title = {Learning Dual Enhanced Representation for Contrastive Multi-view Clustering},
     year = {2024},
     publisher = {Association for Computing Machinery},
     booktitle = {Proceedings of the 32nd ACM International Conference on Multimedia},
     pages = {8731-8739},
     numpages = {9},
   }

2023

1. IPM [Highly Cited Paper]

   Joint contrastive triple-learning for deep multi-view clustering.

   Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng, and Yangdong Ye

   Information Processing & Management, 2023

   Bib PDF Blog

   @article{Hu_IPM2023_JCT,
     title = {Joint contrastive triple-learning for deep multi-view clustering.},
     journal = {Information Processing & Management},
     author = {Hu, Shizhe and Zou, Guoliang and Zhang, Chaoyang and Lou, Zhengzheng and Geng, Ruilin and Ye, Yangdong},
     volume = {60},
     number = {3},
     pages = {103284},
     year = {2023},
   }

2022

1. ACM MM

   A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting

   Shizhe Hu, Ruilin Geng, Zhaoxu Cheng, Chaoyang Zhang, Guoliang Zou, Zhengzheng Lou, and Yangdong Ye

   In Proceedings of the 30th ACM International Conference on Multimedia, 2022

   Bib PDF

   @inproceedings{Hu_ACMMM2022,
     author = {Hu, Shizhe and Geng, Ruilin and Cheng, Zhaoxu and Zhang, Chaoyang and Zou, Guoliang and Lou, Zhengzheng and Ye, Yangdong},
     title = {A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting},
     year = {2022},
     publisher = {Association for Computing Machinery},
     booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
     pages = {3792-3800},
     numpages = {9},
   }