Learning Disentangled Representations for Generalized Multi-view Clustering
Xin Zou, Ruimeng Liu, Chang Tang, Zhenglai Li, Xinwang Liu, Kunlun He, Wanqing Li
Under Review
[PDF] [BibTeX] [Code (GitHub)]

Balanced Multi-view Clustering
Zhenglai Li, Jun Wang, Chang Tang, Xinzhong Zhu, Wei Zhang, Xinwang Liu
Under Review
[PDF] [BibTeX] [Code (GitHub)]

Dynamic Information Filtering Network for Credit Default Prediction of Tabular Data with Small-Sample Size
Yandan Tan, Zhenglai Li, Yubing Bao, Hongbin Zhu, Jie Wu, Hongfeng Chai
Under Review
[PDF] [BibTeX] [Code (GitHub)]

Tensor Multi-rank Constraint Guided Anchor-wise Adaptive Alignment for Multi-view Clustering
Jun Wang, Zhenglai Li, Chang Tang, Dayu Hu, Xinwang Liu, Kunlun He
Under Review
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Hard Region Aware Network for Remote Sensing Change Detection
Zhenglai Li, Chang Tang, Xinwang Liu, Xingchen Hu, Xianju Li, Ning Li, Changdong Li
Under Review
[PDF] [BibTeX] [Code (GitHub)]

Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data
Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li
ACM International Conference on Multimedia (ACM MM), 2024
[PDF] [BibTeX] [Code (GitHub)]

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations
Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
[PDF] [BibTeX] [Code (GitHub)]

Multiple Kernel Clustering with Adaptive Multi-scale Partition Selection
Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
[PDF] [BibTeX] [Code (GitHub)]

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification
Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu
ACM International Conference on Multimedia (ACM MM), 2023
[PDF] [BibTeX] [Code (GitHub)]

Mutual Structure Learning for Multiple Kernel Clustering
Zhenglai Li, Chang Tang, Xiao Zheng, Zhiguo Wan, Kun Sun, Wei Zhang, Xinzhong Zhu
Information Sciences, 2023
[PDF] [BibTeX] [Code (GitHub)]

Lightweight Remote Sensing Change Detection with Progressive Feature Aggregation and Supervised Attention
Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Zomaya
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
[PDF] [BibTeX] [Code (GitHub)]

Efficient Multiple Kernel Clustering via Spectral Perturbation
Chang Tang, Zhenglai Li (co-first author), Weiqing Yan, Guanghui Yue, Wei Zhang
ACM International Conference on Multimedia (ACM MM), 2022
[PDF] [BibTeX]

Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement
Zhenglai Li, Chang Tang, Lizhe Wang, Albert Y Zomaya
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
[PDF] [BibTeX] [Code (GitHub)]

Unified K-means Coupled Self-representation and Neighborhood Kernel Learning for Clustering Single-cell RNA-Sequencing Data
Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao
Neurocomputing, 2022
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Unified One-step Multi-view Spectral Clustering
Chang Tang, Zhenglai Li (co-first author), Jun Wang, Xinwang Liu, Wei Zhang, En Zhu
IEEE Transactions on Knowledge & Data Engineering (TKDE), 2022
[PDF] [BibTeX] [Code (GitHub)]

High-order Correlation Preserved Incomplete Multi-view Subspace Clustering
Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu
IEEE Transactions on Image Processing (TIP), 2022
[PDF] [BibTeX] [Code (GitHub)]

Hyperspectral Band Selection via Region-aware Latent Features Fusion based Clustering
Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang
Information Fusion, 2021
[PDF] [BibTeX] [Code (GitHub)]

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data
Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu
IEEE International Conference on Multimedia and Expo (ICME), 2024
[PDF] [BibTeX] [Code (GitHub)]

Consensus Graph Learning for Multi-view Clustering
Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Guanghui Yue, Wei Zhang, En Zhu
IEEE Transactions on Multimedia (TMM), 2021
[PDF] [BibTeX] [Code (GitHub)]

Diversity and Consistency Learning Guided Spectral Embedding for Multi-view Clustering
Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu
Neurocomputing, 2019
[PDF] [BibTeX]