Shizhe Hu

According to our database, Shizhe Hu authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Information Bottleneck.

Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, Yangdong Ye

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Multiview Clustering With Propagating Information Bottleneck.

Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, Yangdong Ye

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Contrastive cross-modal clustering with twin network.

Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye

Pattern Recognit., 2024

Nice to meet images with Big Clusters and Features: A cluster-weighted multi-modal co-clustering method.

Chaoyang Zhang, Hang Xue, Kai Nie, Xihui Wu, Zhengzheng Lou, Shouyi Yang, Qinglei Zhou, Shizhe Hu

Inf. Process. Manag., 2024

Clustering scRNA-seq data with the cross-view collaborative information fusion strategy.

Zhengzheng Lou, Xiaojiao Wei, Yuanhao Hu, Shizhe Hu, Yucong Wu, Zhen Tian

Briefings Bioinform., 2024

Learning Dual Enhanced Representation for Contrastive Multi-view Clustering.

Guoliang Zou, Yangdong Ye, Tongji Chen, Shizhe Hu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Self-supervised Weighted Information Bottleneck for Multi-view Clustering.

Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A High Performance Detailed Router Based on Integer Programming with Adaptive Route Guides.

Zhongdong Qi, Shizhe Hu, Qi Peng, Hailong You, Chao Han, Zhangming Zhu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Deep purified feature mining model for joint named entity recognition and relation extraction.

Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, Yangdong Ye

Inf. Process. Manag., November, 2023

Mutual Boost Network for attributed graph clustering.

Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, Yangdong Ye

Expert Syst. Appl., November, 2023

Self-supervised temporal autoencoder for egocentric action segmentation.

Mingming Zhang, Dong Liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, Yangdong Ye

Eng. Appl. Artif. Intell., November, 2023

Attentive Adversarial Collaborative Filtering.

Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, Yangdong Ye

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A simple multiple-fold correlation-based multi-view multi-label learning.

Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou

Neural Comput. Appl., May, 2023

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

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

Inf. Process. Manag., May, 2023

Multi-View Clustering via Triplex Information Maximization.

Chaoyang Zhang, Zhengzheng Lou, Qinglei Zhou, Shizhe Hu

IEEE Trans. Image Process., 2023

2022

View-Wise Versus Cluster-Wise Weight: Which Is Better for Multi-View Clustering?

Shizhe Hu, Zhengzheng Lou, Yangdong Ye

IEEE Trans. Image Process., 2022

DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering.

Shizhe Hu, Zenglin Shi, Yangdong Ye

IEEE Trans. Cybern., 2022

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, Yangdong Ye

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Crowd Counting Using Scale Enhanced Network with Dual Attention Booster.

Xin Zeng, Shizhe Hu, Qiang Guo, Yunpeng Wu, Yangdong Ye

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Multi-Task Image Clustering through Correlation Propagation.

Shizhe Hu, Xiaoqiang Yan, Yangdong Ye

IEEE Trans. Knowl. Data Eng., 2021

Learning a deep network with cross-hierarchy aggregation for crowd counting.

Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, Yangdong Ye

Knowl. Based Syst., 2021

Deep multi-view learning methods: A review.

Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, Hui Yu

Neurocomputing, 2021

Multi-view content-context information bottleneck for image clustering.

Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye

Expert Syst. Appl., 2021

Interactive information bottleneck for high-dimensional co-occurrence data clustering.

Shizhe Hu, Ruobin Wang, Yangdong Ye

Appl. Soft Comput., 2021

2020

Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization.

Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye

ACM Trans. Knowl. Discov. Data, 2020

Dynamic auto-weighted multi-view co-clustering.

Shizhe Hu, Xiaoqiang Yan, Yangdong Ye

Pattern Recognit., 2020

Joint specific and correlated information exploration for multi-view action clustering.

Shizhe Hu, Xiaoqiang Yan, Yangdong Ye

Inf. Sci., 2020

DSPNet: Deep scale purifier network for dense crowd counting.

Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, Yangdong Ye

Expert Syst. Appl., 2020

An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation.

Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye

Appl. Soft Comput., 2020

Heterogeneous Dual-Task Clustering with Visual-Textual Information.

Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering?

Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2017

Multi-task Clustering of Human Actions by Sharing Information.

Xiaoqiang Yan, Shizhe Hu, Yangdong Ye

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017