Shizhe Hu

Orcid: 0000-0003-1301-2396

According to our database1, Shizhe Hu authored at least 24 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Deep purified feature mining model for joint named entity recognition and relation extraction.
Inf. Process. Manag., November, 2023

Mutual Boost Network for attributed graph clustering.
Expert Syst. Appl., November, 2023

Self-supervised temporal autoencoder for egocentric action segmentation.
Eng. Appl. Artif. Intell., November, 2023

Attentive Adversarial Collaborative Filtering.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A simple multiple-fold correlation-based multi-view multi-label learning.
Neural Comput. Appl., May, 2023

Joint contrastive triple-learning for deep multi-view clustering.
Inf. Process. Manag., May, 2023

Multi-View Clustering via Triplex Information Maximization.
IEEE Trans. Image Process., 2023

2022
View-Wise Versus Cluster-Wise Weight: Which Is Better for Multi-View Clustering?
IEEE Trans. Image Process., 2022

DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering.
IEEE Trans. Cybern., 2022

A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting.
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.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Multi-Task Image Clustering through Correlation Propagation.
IEEE Trans. Knowl. Data Eng., 2021

Learning a deep network with cross-hierarchy aggregation for crowd counting.
Knowl. Based Syst., 2021

Deep multi-view learning methods: A review.
Neurocomputing, 2021

Multi-view content-context information bottleneck for image clustering.
Expert Syst. Appl., 2021

Interactive information bottleneck for high-dimensional co-occurrence data clustering.
Appl. Soft Comput., 2021

2020
Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization.
ACM Trans. Knowl. Discov. Data, 2020

Dynamic auto-weighted multi-view co-clustering.
Pattern Recognit., 2020

Joint specific and correlated information exploration for multi-view action clustering.
Inf. Sci., 2020

DSPNet: Deep scale purifier network for dense crowd counting.
Expert Syst. Appl., 2020

An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation.
Appl. Soft Comput., 2020

Heterogeneous Dual-Task Clustering with Visual-Textual Information.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering?
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2017
Multi-task Clustering of Human Actions by Sharing Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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