CityU

Assistant Professor Qi Zhang


Dr. Qi Zhang

Assistant Professor Master Supervisor 

 

Email：qizhang@cityu.edu.mo

Tel：(853)8590 2261

Office address: Room S501, Stanley Ho Building, City University of Macau (Taipa) 

 

Educational qualifications 

Doctor of Philosophy Computer Science University of Macau 2023 

Master Computer Science University of Macau 2020 

Master's Degree Electrical and Computer Engineering University of Macau 2018 

Bachelor's Degree Automation Central South University of Forestry and Technology 2015 

 

Incumbent 

Assistant Professor, Faculty of Data Science, City University of Macau 

 

Courses taught 

Introduction to Computer Science, Design Computing Studio I, Object-oriented Programming, Advanced Computer Architecture, etc.

 

Research direction 

Machine learning, Smart medical care, Pattern recognition, Image processing, Artificial intelligence applications, etc. 

 

Research and publishing  

  1. Zhao, W., Zhang, Q.*, & Shu, T. Air Pollution Source Tracing by VIME-XGBoost. In ISCBI 2025 (Accepted). (EI) 
  2. Zhang, B., Zhang, Q.*, Zhang, X., Ye, X., & Duan, J. Broad Learning Model for Classification with Dual Feature Extraction and Discriminative Group-Sparsity Constraints. In ICMLC 2025 (Accepted). (EI)
  3. Ke, J., Zhang, Q., Wang, J., Ding, H., Zhang, P., & Wen, J. (2024). Graph-based referring expression comprehension with expression-guided selective filtering and noun-oriented reasoning. Pattern Recognition, 111222. (SCIE, JCR Q1)
  4. Ye, X., Zhang, Q.*, Cui, S., Ying, Z., Sun, J., & Du, X.* (2024). Mitigating Adversarial Attacks in Object Detection through Conditional Diffusion Models. Mathematics, 12(19), 3093. (SCIE, JCR Q1)
  5. Long, J., Zhang, Q., Lu, X., Wen, J., Zhao, L., & Xie, W. (2024). Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning. Neural Networks, 106748. (SCIE, JCR Q1)
  6. Zhang, X., Zhang, Q.*, Li, P., You, J., Sun, J., & Zhou, J. (2024). Multi-Feature Extraction and Selection Method to Diagnose Burn Depth from Burn Images. Electronics, 13(18), 3665. (SCIE, JCR Q2)
  7. Du, X., Zhang, Q.*, Zhu, J., & Liu, X. (2024). Adaptive unified defense framework for tackling adversarial audio attacks. Artificial Intelligence Review, 57(8), 218. (SCIE, JCR Q1)
  8. Yan, S., Zhang, Q.*, Zhang X., Sun, J., Zhou, J. Multi-channel color space analysis for nuclei segmentation in histopathology images. In PRAI 2024 (Accepted). (EI)
  9. Dong, Z., & Zhang, Q.* (2024). Safety Helmet Detection: Adding Attention Mechanism to Yolov8 to Improve Detection Accuracy. In 2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 448-454). IEEE. (EI)
  10. Zhu, L.*, Zhang, Q.*, Chen, K., Ma, Q., Chen, S., Zhang, S., & Yuan, Y. (2024). Lightweight Self-Supervised Recognition of Small-Sample Ships Using Micro-Doppler Signatures and UAV-based UWB Radar. IEEE Transactions on Instrumentation and Measurement. (SCIE, JCR Q1)
  11. Chen, X., Jiang, N., Li, Y., Cheng, G., Liang, Z., Ying, Z., Zhang, Q.*, & Zhao, R.* (2024). Efficient Decoder and Intermediate Domain for Semantic Segmentation in Adverse Conditions. Smart Cities, 7(1), 254-276. (ESCI)
  12. Zhang, Q., Ying, Z., Shen, J., Kou, S. K., Sun, J., & Zhang, B. (2024). Unsupervised Color-Based Nuclei Segmentation in Histopathology Images with Various Color Spaces and K Values Selection. International Journal of Image and Graphics, 2550061. (EI, ESCI)
  13. Zhou, J., Zhang, Q., Zeng, S., Zhang, B., & Fang, L. (2024). Latent linear discriminant analysis for feature extraction via isometric structural learning. Pattern Recognition, 110218. (SCIE, JCR Q1)
  14. Wang, M., Cao, C., Wang, X., Zhang, Q., Jing, Z., Li, H., & Sun, J. (2023). CVFL: A Chain-like and Verifiable Federated Learning Scheme with Computational Efficiency Based on Lagrange Interpolation Functions. Mathematics, 11(21), 4547. (SCIE, JCR Q1)
  15. Zhang, Q., Ying, Z., Zhou, J., Sun, J., & Zhang, B. (2023). Broad Learning Model with a Dual Feature Extraction Strategy for Classification. Mathematics, 11(19), 4087. (SCIE, JCR Q1)
  16. Zhang, Q., Zhou, J., Xu, Y., & Zhang, B. (2023). Collaborative representation induced broad learning model for classification. Applied Intelligence, 1-15. (SCIE, JCR Q2)
  17. Zhang, Q., Wen, J., Zhou, J., & Zhang, B. (2022). Missing-view completion for fatty liver disease detection. Computers in Biology and Medicine, 150, 106097.
  18. Zhang, Q., Zhou, J., & Zhang, B. (2021). Computational traditional Chinese medicine diagnosis: a literature survey. Computers in Biology and Medicine, 133, 104358.
  19. Zhang, Q., Zhou, J., Zhang, B., & Wu, E. (2021). DsNet: Dual stack network for detecting diabetes mellitus and chronic kidney disease. Information Sciences, 547, 945-962.
  20. Zhang, Q., Zhang, D., & Mok, G. S. (2019). Comparison of different attenuation correction methods for dual gating myocardial perfusion SPECT/CT. IEEE Transactions on Radiation and Plasma Medical Sciences, 3(5), 565-571.
  21. Zhang, Q., & Zhang, B. (2021, December). Low Rank Based Discriminative Least Squares Regression with Sparse Autoencoder Processing for Image Classification. In 2021 7th International Conference on Computer and Communications (ICCC) (pp. 836-840). IEEE.
  22. Zhang, Q., Zhou, J., & Zhang, B. (2020, May). A noninvasive method to detect diabetes mellitus and lung cancer using the stacked sparse autoencoder. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1409-1413). IEEE.
  23. Zhou, J., Zhang, Q., Zeng, S., & Zhang, B. (2022). Fuzzy Graph Subspace Convolutional Network. IEEE Transactions on Neural Networks and Learning Systems.

Academic awards

2024 Second Prize in the 5th MathorCup Mathematics Application Challenge - Big Data Competition (Instructor)

2024 Third Prize in the "Huawei Cup" 21st China Graduate Mathematical Modeling Competition (Instructor)

2024 Third Prize in the 12th National College Students’ Digital Media Technology Works and Creativity Competition (Instructor)

 

Professional association 

2023-present IEEE member