Zhenglai Li

City University of Macau

Email:

zlli@cityu.edu.mo (primary)

yuezhenguan@cug.edu.cn

About Me

I am an assistant professor at the Faculty of Data Science, City University of Macau (CityU Macau).

  • Ph.D. degree in Geo-information Engineering supervised by Prof. Chang Tang from the School of Computer Science, China University of Geosciences, Wuhan (CUG), 09/2021 - 06/2024.
  • M.S. degree in Computer Technology supervised by Prof. Chang Tang from the School of Computer Science, China University of Geosciences, Wuhan (CUG), 09/2018 - 06/2021.
  • B.E. degree in Exploration Technology and Engineering from the School of Geophysics and Geomatics, China University of Geosciences, Wuhan (CUG), 09/2014 - 06/2018.

    • Research Interests

    My research area is in Machine Learning and Deep Learning. Specific topics include:

  • self-supervised/unsupervised/weakly-supervised learning
  • multi-view/modal representation learning

    • Recruitment for Master Students / Interns

    NEW: I am happy to host remote graduate / undergraduate visitors and actively looking for master students with basic mathematical abilities and coding skills to collaborate with me on research topics in machine learning and deep learning. If you're interested, please send your detailed resume to zlli@cityu.edu.mo!

    News

    Publications [Google Scholar]

    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
    [PDF] [BibTeX] [Code (GitHub)]

    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
    [PDF] [BibTeX]

    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]

    Honors and Awards

    • The Information Top Talent Scholarship in China University of Geosciences, Wuhan, 2023.
    • The Rui-Ming Alumni Scholarship in China University of Geosciences, Wuhan, 2022.
    • The Third Prize of the 17th China Post-graduate Mathematical Contest in Modeling, 2019.
    • The Third Prize of the 16th China Post-graduate Mathematical Contest in Modeling, 2018.

    Academic Services

    • Journal Reviewer
      • IEEE Transactions on Knowledge and Data Engineering
      IEEE Transactions on Image Processing
      IEEE Transactions on Neural Networks and Learning Systems
      IEEE Transactions on Multimedia
      IEEE Transactions on Circuits and Systems for Video Technology
      IEEE Transactions on Geoscience and Remote Sensing
      IEEE Transactions on Computational Social Systems
      Information Fusion
      Information Science
      IEEE Geoscience and Remote Sensing Letters
    • Conference Reviewer
      • ACM International Conference on Multimedia 2023
      Neural Information Processing Systems 2024
      International Conference on Learning Representations 2025
      International Conference on Artificial Intelligence and Statistics 2025

    Teaching

    Duties at various times have included: daily supervisor of master theses.
  • BIT002 Design & Computing Studio 1, City University of Macau, Fall 2024.