Zhenglai Li

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Email:

zhenglai.li@siat.ac.cn

About Me

Research Interests

My research focuses on Representation Learning, specifically on deriving meaningful and robust representations from diverse data types, including unlabeled, multi-modal data and graphs. Recently, we have concentrated on Self-supervised Learning, Multi-modal Learning, Graph Learning, and Theoretically Sound Algorithms to address critical challenges in Artificial Intelligence.

😊: I am actively looking for students with basic mathematical abilities and coding skills to collaborate on research projects in machine learning and deep learning. If you are interested, please feel free to email me at "zhenglai.li@siat.ac.cn"!

News

  • [09/2025] One co-author paper "Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity" has been accepted to Neural Information Processing Systems.
  • [08/2025] One paper "Boosting Remote Sensing Change Detection via Hard Region Mining" has been accepted to IEEE Transactions on Geoscience and Remote Sensing.
  • [07/2025] One paper "Mask-informed Deep Contrastive Incomplete Multi-view Clustering" has been accepted to IEEE Transactions on Circuits and Systems for Video Technology.
  • [07/2024] One co-author paper "Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data" has been accepted to ACM International Conference on Multimedia.
  • [06/2024] I have been awarded a Doctor Degree of Geo-information Engineering (PhD) on Jun 20, 2024.
  • [05/2024] One paper "MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations" has been accepted to IEEE Transactions on Geoscience and Remote Sensing.
  • [05/2024] One co-author paper "Multiple Kernel Clustering with Adaptive Multi-scale Partition Selection" has been accepted to IEEE Transactions on Knowledge and Data Engineering.

Preprint

Decoupled Neighborhoods-induced Multi-modal Clustering
Zhenglai Li, Hui Sun, He Sun
Under Review
[PDF] [BibTeX] [Code (GitHub)]

Soft Nearest Neighborhoods Guided Multi-view Clustering
Zhenglai Li, Jing Sun, Jun Wang, Chang Tang
Under Review
[PDF] [BibTeX] [Code (GitHub)]

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)]

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)]

Publications [Google Scholar]

Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Hao Yu, Chuan Tang, Miaomiao Li, Xinwang Liu
Neural Information Processing Systems (NeurIPS), 2025
[PDF] [BibTeX] [Code (GitHub)]

Boosting Remote Sensing Change Detection via Hard Region Mining
Zhenglai Li, Chang Tang, Xingchen Hu, Ning Li, Sen Xiang, Chuankun Li, Changdong Li, Xinwang Liu
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
[PDF] [BibTeX] [Code (GitHub)]

Mask-informed Deep Contrastive Incomplete Multi-view Clustering
Zhenglai Li, Yuqi Shi (co-first author), Xiao He, Chang Tang
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2025
[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]

Funding

  • Postdoctoral Fellowship Program of CPSF (Grant Number GZC20251065). 07/2025-07/2027.
  • China Postdoctoral Science Foundation (Grant Number 2025M781531). 01/2026-07/2027.

Academic Services

  • Journal Reviewer: IEEE TKDE, TIP, TNNLS, TCSVT, TGRS, TCSC, etc
  • Conference Reviewer: ACM MM 2023 2025, NeurIPS 2024 2025, KDD 2025, ICLR 2025, AISTATS 2025, etc

Teaching

Duties at various times have included: supervisor of students.
  • BIT002 Design & Computing Studio 1 (Python Programing), City University of Macau, Fall 2024.
  • Digital Marketing (Machine Learning Part), Joint Program between City University of Macau and Minzu University of China, Spring 2025.