Zhenglai Li

Orcid: 0000-0002-9151-3631

According to our database1, Zhenglai Li authored at least 15 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Mutual structure learning for multiple kernel clustering.
Inf. Sci., November, 2023

Unified One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng., June, 2023

Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention.
IEEE Trans. Geosci. Remote. Sens., 2023

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations.
CoRR, 2023

Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation.
CoRR, 2023

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Consensus Graph Learning for Multi-View Clustering.
IEEE Trans. Multim., 2022

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering.
IEEE Trans. Image Process., 2022

Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral band selection via region-aware latent features fusion based clustering.
Inf. Fusion, 2022

Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data.
Neurocomputing, 2022

Efficient Multiple Kernel Clustering via Spectral Perturbation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2019
Diversity and consistency learning guided spectral embedding for multi-view clustering.
Neurocomputing, 2019

Robust Multi-View Clustering With a Unified Weight Learning Paradigm.
IEEE Access, 2019


  Loading...