Yishu Liu
Ph. D., Professor, Doctoral Supervisor School of Geography
Field: Machine Learning, Computer Vision, Automatic Interpretation of Remote Sensing Images
yishuliu_gz@hotmail.com OR liuyishu@m.scnu.edu.cn

Education

Sun Yat-sen University
      Ph.D., Computational Mathematics, Dec. 2013
      M.S., Computational Mathematics, Jun. 2002

Nanjing University
      B.S., Computational Mathematics, Jun. 1996

Experience

Centre for Pattern Recognition and Machine Intelligence, Concordia University, Canada
      Jul. 2018 - Jul. 2019, Visiting Researcher (financially supported by the China Scholarship Council)

School of Geography, South China Normal University
      Dec. 2019 - present, Professor
      Dec. 2014 - Nov. 2019, Associate Professor
      Dec. 2004 - Nov. 2014, Lecturer
      Oct. 2003 - Nov. 2004, Research Assistant

Bamboo Networks Limited
      Jul. 2002 - Sep. 2003, Software Quality Assurance Engineer

Institute of Mathematics, Shantou University
      Jul. 1996 - Aug. 1999, Research Assistant

Teaching

Postgraduate Students
      Multivariate Statistical Analysis
      Latest Advances in GIS & Remote Sensing
      Artificial Intelligence & Machine Learning

Undergraduate Students
      Remote Sensing Digital Image Processing
      Linear Algera

Academics

National Natural Science Foundation of China: Remote Sensing Object Recognition Through Deep Learning and Data Fusion, Jan. 2017 - Dec. 2020

Enterprise-financially-supported: Online Signature Verification and Recognition, Apr. 2014 - Apr. 2016

Enterprise-financially-supported: License Plate Recognition in the Wild, Jul. 2010 - Oct. 2011

Honor

Articles

16. Yongbo Huang, Yuanpei Jin, Liqiang Zhang, and Yishu Liu*. “Remote Sensing Object Counting Through Regression Ensembles and Learning to Rank,” IEEE Transactions on Geoscience and Remote Sensing, 61: 1-17, Art no. 4701617, Apr. 2023.

15. Yishu Liu*, Liqiang Zhang, Zhengzhuo Han, and Conghui Chen. “Integrating Knowledge Distillation With Learning to Rank for Few-Shot Scene Classification,” IEEE Transactions on Geoscience and Remote Sensing, 60: 1-12, Art no. 4702512, Jan. 2022.

14. Yishu Liu*, Liwang Ding, Conghui Chen, and Yingbin Liu. “Similarity-based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval,” IEEE Transactions on Geoscience and Remote Sensing, 58(11): 7872-7889, Nov. 2020.

13. Yishu Liu*, Conghui Chen, Zhengzhuo Han, Yingbin Liu, and Liwang Ding. “Incorporating Human Views into Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval,” in Proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, Zhongshan, Guangdong, China, October 2020, pp. 394-403.

12. Yishu Liu*, Zhengzhuo Han, Conghui Chen, Liwang Ding, and Yingbin Liu. “Eagle-eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification,” IEEE Transactions on Geoscience and Remote Sensing, 58(9): 6699-6721, Sep. 2020.

11. Yishu Liu*, Yingbin Liu, Conghui Chen, and Liwang Ding. “Remote-sensing Image Retrieval with Tree-triplet-classification Networks,” Neurocomputing, 405: 48-61, May 2020.

10. Yishu Liu*, Conghui Chen, Zhengzhuo Han, Liwang Ding, and Yingbin Liu. “High-resolution Remote Sensing Image Retrieval Based on Classification-similarity Networks and Double Fusion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13: 1119-1133, Mar. 2020.

9. Yishu Liu*, Ching Y. Suen, Yingbin Liu, and Liwang Ding. “Scene Classification Using Hierarchical Wasserstein CNN,” IEEE Transactions on Geoscience and Remote Sensing, 57(5): 2494-2509, May 2019.

8. Yishu Liu*, Yingbin Liu, and Liwang Ding. “Scene Classification by Coupling Convolutional Neural Networks with Wasserstein Distance,” IEEE Geoscience and Remote Sensing Letters, 16(5): 22-726, May 2019.

7. Yishu Liu*, Yingbin Liu, and Liwang Ding. “Scene Classification Based on Two-stage Deep Feature Fusion,” IEEE Geoscience and Remote Sensing Letters, 15(2): 183-186, Feb. 2018.

6. Yishu Liu* and Chao Huang. “Scene Classification via Triplet Networks,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(1): 220-237, Jan. 2018.

5. Wuhong Lin, Huawang Wu, Yishu Liu, Dongsheng Lv, and Lihua Yang*. “A CCA and ICA-based Mixture Model for Identifying Major Depression Disorder,” IEEE Transactions on Medical Imaging, 36(3): 745-756, Mar. 2017.

4. Yishu Liu, Zhihua Yang, Ching Y. Suen, and Lihua Yang*. “A Study on Performance Improvement Due to Linear Fusion in Biometric Authentication Tasks,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(9): 1252-1264, Sep. 2016.

3. Yishu Liu, Zhihua Yang, and Lihua Yang*. “Online Signature Verification Based on DCT and Sparse Representation,” IEEE Transactions on Cybernetics, 45(11): 2498-2511, Nov. 2015.

2. Zhihua Yang* and Yishu Liu. “An Online Signature Verification Based on Timely Nonlinear Sampling and Sparse Representation,” in Proceedings of IEEE International Conference on Security, Pattern Analysis, and Cybernetics, Wuhan, Hubei, China, Oct. 2014: 309-313.

1. Yishu Liu, Lihua Yang*, and Ching Y. Suen. “The Effect of Correlation and Performances of Base-experts on Score Fusion,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(4): 510-517, Apr. 2014.



Patents
 
7. Yongbo Huang, Yishu Liu, Yuanpei Jin, and Liqiang Zhang. “Remote Sensing Object Counting,” Chinese Patent, to be granted, issued in Dec. 2022.

6. Liqiang Zhang, Yishu Liu, Yongbo Huang, and Zhengzhuo Han. “Scene Classification Based on Collective Metric Learning,” Chinese Patent, to be granted, issued in Jul. 2022.

5. Yishu Liu, Liqiang Zhang, and Zhengzhuo Han. “One-shot Image Classification,” Chinese Patent, ZL 2021 1 0433829.0, Jun. 2022.

4. Yishu Liu, Yongbo Huang, Liqiang Zhang, and Zhengzhuo Han. “Self-supervised Learning to Rank for Scene Classification,” Chinese Patent, to be granted, issued in Mar. 2022.

3. Yingbin Liu, Yishu Liu, Liwang Ding, and Conghui Chen. “Remote Sensing Image Classification Based on Triplet Networks,” Chinese Patent, ZL 2019 1 0424565.5, Aug. 2021.

2. Yishu Liu, Liwang Ding, Yingbin Liu, and Conghui Chen. “Remote Sensing Image Retrieval Based on Unsupervised Deep Regression,” Chinese Patent, ZL 2019 1 0033935.2, Oct. 2020.

1. Yingbin Liu, Yishu Liu, Zhengzhuo Han, Conghui Chen, and Liwang Ding. “Remote Sensing Scene Classification Based on Score Fusion,” Chinese Patent, to be granted, issued in Jun. 2020.


Last updated: Apr. 14, 2023

Affiliations

Reviewer for National Natural Science Foundation of China

Reviewer for IEEE TGRS, IEEE TCYB, IEEE TSMC-S, IEEE JSTARS, and IEEE GRSL

IEEE Member

Member of IEEE Geoscience and Remote Sensing Society

Misc

Dear friends, I would like to share a fascinating poem with you. Do you like it?


         In a Station of the Metro
 
         Ezra Pound (1885 - 1972) 


The apparition of these faces in the crowd;

Petals on a wet, black bough.
CN