| 2025 | ICML | A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method. | Zhengzheng Lou, Hang Xue, Chaoyang Zhang, Shizhe Hu |
| 2025 | ICML | Super Deep Contrastive Information Bottleneck for Multi-modal Clustering. | Zhengzheng Lou, Ke Zhang, Yucong Wu, Shizhe Hu |
| 2024 | IJCAI | Self-supervised Weighted Information Bottleneck for Multi-view Clustering. | Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu |
| 2023 | ICNC | A Graph Neural Recommendation With Role Information Enhancement. | Zhengzheng Lou, Junjiao Zhu, Bin Wu |
| 2020 | ICASSP | Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering? | Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye |
| 2017 | ICNC | A data selection framework for k-means algorithm to mine high precision clusters. | Zhengzheng Lou, Chaoyang Zhang |
| 2013 | IJCAI | The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization. | Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan |
| 2012 | PRICAI | Information Bottleneck with Local Consistency. | Zhengzheng Lou, Yangdong Ye, Zhenfeng Zhu |