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2020 – today
- 2024
[j12]Zhenglai Li
, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)- [j11]Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu:
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. IEEE Trans. Knowl. Data Eng. 36(11): 6641-6652 (2024) - [c4]Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li:
Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. ACM Multimedia 2024: 8287-8295 - 2023
- [j10]Zhenglai Li, Chang Tang, Xiao Zheng, Zhiguo Wan, Kun Sun, Wei Zhang, Xinzhong Zhu:
Mutual structure learning for multiple kernel clustering. Inf. Sci. 647: 119445 (2023) - [j9]Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Y. Zomaya:
Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j8]Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu:
Unified One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 35(6): 6449-6460 (2023) - [c3]Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu:
DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. ACM Multimedia 2023: 3550-3559 - [i2]Zhenglai Li, Chang Tang, Xianju Li, Weiying Xie, Kun Sun, Xinzhong Zhu:
Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation. CoRR abs/2305.19513 (2023) - [i1]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. CoRR abs/2311.09726 (2023) - 2022
- [j7]Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao:
Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. Neurocomputing 501: 715-726 (2022) - [j6]Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang:
Hyperspectral band selection via region-aware latent features fusion based clustering. Inf. Fusion 79: 162-173 (2022) - [j5]Zhenglai Li, Chang Tang, Lizhe Wang, Albert Y. Zomaya:
Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j4]Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. IEEE Trans. Image Process. 31: 2067-2080 (2022) - [j3]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 24: 2461-2472 (2022) - [c2]Chang Tang, Zhenglai Li, Weiqing Yan, Guanghui Yue, Wei Zhang:
Efficient Multiple Kernel Clustering via Spectral Perturbation. ACM Multimedia 2022: 1603-1611 - 2021
- [c1]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. ICME 2021: 1-6
2010 – 2019
- 2019
- [j2]Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang:
Robust Multi-View Clustering With a Unified Weight Learning Paradigm. IEEE Access 7: 177965-177973 (2019) - [j1]Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu:
Diversity and consistency learning guided spectral embedding for multi-view clustering. Neurocomputing 370: 128-139 (2019)
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