Qi Zhang

Qi Zhang

Assistant Professor, Faculty of Data Science

Qi Zhang

About Me

I am Qi Zhang, an Assistant Professor at City University of Macau. I received my Ph.D. in Computer Science from the University of Macau under the supervision of Prof. Bob Zhang.

Academic Position

  • Assistant Professor, City University of Macau, present

Research Interests

My research interests include:

  • Machine learning
  • Smart healthcare
  • Pattern recognition
  • Image processing
  • Artificial intelligence applications

I am looking for highly motivated postgraduate and undergraduate students interested in machine learning, smart healthcare, pattern recognition, image processing, and artificial intelligence applications. Interested students are welcome to contact me by email.

Education

  • Ph.D. in Computer Science, University of Macau, 2023
  • M.Sc. in Computer Science, University of Macau, 2020
  • M.Sc. in Electrical and Computer Engineering, University of Macau, 2018
  • B.Eng. in Automation, Central South University of Forestry and Technology, 2015

Selected Publications

  1. Zhu, Z., Zhang, Q.*, Gu, J.*, et al. (2026). MSSANET: Multi-scale self-attention mechanism network for polyp segmentation. In IEEE International Symposium on Biomedical Imaging (ISBI 2026). (EI, Oral presentation)
  2. Zhang, X., Zhang, Q.*, Gu, J.*, et al. (2026). DISDIFF: Self-supervised segmentation on histopathology images using diffusion models and distance maps. In IEEE International Symposium on Biomedical Imaging (ISBI 2026). (EI)
  3. Zhou, J., Lin, Z., Zhang, Q., & Gu, J. (2026). Learning with Euler Non-negative Representation for Robust Pattern Analysis. Expert Systems with Applications, 132229. (SCIE, JCR Q1)
  4. Zhou, J., Zhang, Q., & Gu, J. (2026). Sparse subspace learning machine for pattern classification. Information Sciences, 123193. (SCIE, JCR Q1)
  5. Liu, J., Zhang, Q., Wan, Q., Cheng, X., Geng, X., & Ding, W. (2026). DMNet: Detail modulation network with gradient-texture guidance for lightweight image super-resolution. Journal of King Saud University - Computer and Information Sciences. (SCIE, JCR Q1)
  6. Ye, X., Zhang, Q.*, Wang, Y., Yang, X., Ying, Z., Sun, J., Zhong, Q., & Du, X.* (2026). Diffbias: Harnessing diffusion models’ prediction bias for adversarial patch defense. Neurocomputing. (SCIE, JCR Q1)
  7. Wang, J., Zhang, Q.*, Zhang, X., Mao, Y., Zhu, Z., & Gong, C. (2025). Dominant Period Multi-Kernel Decomposition Linear for Long Sequence Time-Series Forecasting. In 2025 5th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC) (pp. 923-927). IEEE. (EI)
  8. Zhang, X., Zhang, Q.*, Wang, J., Ma, J., & Li, P. (2025). Broad Learning System with a ShuffleNet Feature Extractor for Image Classification. In CBASE 2025 (pp. 45-50). IEEE. (EI, Best Paper Award)
  9. Zhao, W., Zhang, Q.*, Shu, T., & Du, X.* (2025). AirTrace-SA: Air Pollution Tracing for Source Attribution. Information, 16(7), 603. (EI, ESCI, JCR Q2)
  10. Zhu, L., Li, Y., Xia, W., Chen, K., Ma, Q., & Zhang, Q. (2025). An anti-clutter distance measurement method for IoT linear frequency modulation radar in heavy rainfall environments. IEEE Internet of Things Journal, 12(11), 17906-17919. (SCIE, JCR Q1)
  11. Zhao, W., Zhang, Q.*, & Shu, T. (2025). Air Pollution Source Tracing by VIME-XGBoost. In 2025 7th International Symposium on Computational and Business Intelligence (ISCBI) (pp. 34-39). IEEE. (EI)
  12. Zhang, B., Zhang, Q.*, Zhang, X., Ye, X., & Duan, J. (2025). Broad Learning Model for Classification with Dual Feature Extraction and Discriminative Group-Sparsity Constraints. In International Conference on Machine Learning and Computing (pp. 67-80). (EI)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)

Teaching

I have taught a range of courses in computer science and data science, including:

  • Introduction to Computer Science
  • Design Computing Studio I
  • Object-Oriented Programming
  • Advanced Computer Architecture
  • Operating System Course Design
  • Design Computing Studio II
  • Internship and Final Year Project

Awards & Certificates

  • 2025 - 2024/2025 學年城大新學者教學卓越奬
  • 2025 - 2024/2025 學年科研嘉許
  • 2025 - 試驗區優秀社會實踐指導教師
  • 2025 - 首届試驗區教師教學創新大賽三等獎
  • 2024 - 2023/2024 學年科研嘉許
  • 2025 - 第十五届 APMCM 亞太地區大學生數學建模競賽二等獎（指導老師）
  • 2025 - “華爲杯”第二十二届中國研究生數學建模競賽二等獎（指導老師）
  • 2024 - 第五届 MathorCup 數學應用挑戰賽 - 大數據競賽二等獎（指導老師）
  • 2024 - “華爲杯”第二十一届中國研究生數學建模競賽三等獎（指導老師）
  • 2024 - 第十二届全國大學生數字媒體科技作品及創意競賽三等獎（指導老師）

Research Projects

  • 厦門市軟件供應鏈安全公共技術服務平臺開放課題（GYL2025007），主持，在研（2025.06-2027.05）
  • 教育基金資助項目 - 2025/2026 學年高等院校年度資助計劃，主持，結項。

Professional Service

  • IEEE Member, 2023-present

Additional professional service activities will be updated.

Student Supervision

Five master’s students I have supervised have gone on to pursue doctoral degrees at universities including Sun Yat-sen University, Macao Polytechnic University, and City University of Macau. Several undergraduate students have continued their studies in master’s programs at institutions such as University College London, King’s College London, and University of Macau. Many graduates have also taken positions at universities and leading companies.

Contact

Email: qizhang@cityu.edu.mo

Office phone: +853 8590 2261

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

Institution: Faculty of Data Science, City University of Macau