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李正來 助理教授(研究)


李正來 博士 

助理教授(研究) 碩導

 

學校郵箱： zlli@cityu.edu.mo

辦公電話：(853)8590 2336

辦公地址：澳門城市大學(氹仔)何鴻燊樓S504室

 

個人主頁

https://guanyuezhen.github.io/

 

學歷

2024　地學信息工程博士, 中國地質大學（武漢）, 中國

2021　計算機技術碩士, 中國地質大學（武漢）, 中國

2018　勘查技術與工程學士, 中國地質大學（武漢）, 中國

 

現任

澳門城市大學計算機科學研究助理教授

 

研究方向

Multi-modal/view Data Analysis

 

研究及出版

Refereed Articles

  1. Li, Z., Tang, C., Liu, X., Li, C., Li, X., & Zhang, W. (2024). MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. IEEE Transactions on Geoscience and Remote Sensing. (IF=7.5; Rank: 8/62; Q1; CCF B).
  2. Wang, J., Li, Z., Tang, C., Liu, S., Wan, X., & Liu, X. (2024). Multiple Kernel Clustering with Adaptive Multi-scale Partition Selection. IEEE Transactions on Knowledge and Data Engineering. (IF=8.9; Rank: 17/197; Q1; CCF A).
  3. Zou, X., Tang, C., Zheng, X., Li, Z., He, X., An, S., & Liu, X. (2023, October). DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 3550-3559). (CCF A).
  4. Li, Z., Tang, C., Zheng, X., Wan, Z., Sun, K., Zhang, W., & Zhu, X. (2023). Mutual structure learning for multiple kernel clustering. Information Sciences, 647, 119445. (IF=8.1; Rank: 17/251; Q1; CCF B).
  5. Li, Z., Tang, C., Liu, X., Zhang, W., Dou, J., Wang, L., & Zomaya, A. Y. (2023). Lightweight remote sensing change detection with progressive feature aggregation and supervised attention. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-12. (IF=7.5; Rank: 8/62; Q1; CCF B; ESI highly cited paper).
  6. Tang, C., Li, Z. (co-first author), Yan, W., Yue, G., & Zhang, W. (2022, October). Efficient multiple kernel clustering via spectral perturbation. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 1603-1611). (CCF A).
  7. Li, Z., Tang, C., Wang, L., & Zomaya, A. Y. (2022). Remote sensing change detection via temporal feature interaction and guided refinement. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11. (IF=7.5; Rank: 8/62; Q1; CCF B).
  8. Li, Z., Tang, C., Zheng, X., Li, Z., Zhang, W., & Cao, L. (2022). Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. Neurocomputing, 501, 715-726. (IF=5.5; Rank: 42/197; Q1; CCF C).
  9. Tang, C., Li, Z. (co-first author), Wang, J., Liu, X., Zhang, W., & Zhu, E. (2022). Unified one-step multi-view spectral clustering. IEEE Transactions on Knowledge and Data Engineering, 35(6), 6449-6460. (IF=8.9; Rank: 17/197; Q1; CCF A; ESI highly cited paper).
  10. Li, Z., Tang, C., Zheng, X., Liu, X., Zhang, W., & Zhu, E. (2022). High-order correlation preserved incomplete multi-view subspace clustering. IEEE Transactions on Image Processing, 31, 2067-2080. (IF=10.8; Rank: 8/197; Q1; CCF A).
  11. Wang, J., Tang, C., Li, Z., Liu, X., Zhang, W., Zhu, E., & Wang, L. (2022). Hyperspectral band selection via region-aware latent features fusion based clustering. Information Fusion, 79, 162-173. (IF=14.7; Rank: 4/197; Q1).
  12. Li, Z., Tang, C., Liu, X., Zheng, X., Zhang, W., & Zhu, E. (2021, July). Tensor-based multi-view block-diagonal structure diffusion for clustering incomplete multi-view data. In 2021 IEEE International Conference on Multimedia and Expo (pp. 1-6). IEEE. (CCF B).
  13. Li, Z., Tang, C., Liu, X., Zheng, X., Zhang, W., & Zhu, E. (2021). Consensus graph learning for ;multi-view clustering. IEEE Transactions on Multimedia, 24, 2461-2472. (IF=8.4; Rank: 7/249; Q1; CCF B; ESI highly cited paper).
  14. Li, Z., Tang, C., Chen, J., Wan, C., Yan, W., & Liu, X. (2019). Diversity and consistency learning guided spectral embedding for multi-view clustering. Neurocomputing, 370, 128-139. (IF=5.5; Rank: 42/197; Q1; CCF C).

學術獎項

2023 中國地質大學（武漢）計算機學院信息拔尖人才獎學金

2022 中國地質大學（武漢）銳鳴校友獎學金

2019 “華為杯”第十七屆中國研究生數學建模競賽三等獎

2018 “華為杯”第十六屆中國研究生數學建模競賽三等獎

2018 美國大學生數學建模競賽Honorable Mention獎