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張琪 助理教授


張琪 博士

助理教授 碩導

 

學校郵箱：qizhang@cityu.edu.mo

辦公電話：(853)8590 2261

辦公地址：澳門城市大學(氹仔)何鴻燊樓S501室

 

學歷

博士 電腦科學 澳門大學 2023

碩士 計算機科學 澳門大學 2020

碩士 電機及電腦工程 澳門大學 2018

學士 自動化 中南林業科技大學 2015

 

現任

澳門城市大學數據科學學院助理教授

 

曾任教科目

計算機科學導論，程序設計科學等

 

研究方向

機器學習，智慧醫療，模式識別，圖像處理，人工智能應用等

 

研究及出版

  1. 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)
  2. 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)
  3. 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)
  4. Dong, Z., Zhang, Q.*. Safety Helmet Detection: Adding Attention Mechanism to Yolov8 to Improve Detection Accuracy. In ICAIBD 2024 (Accepted). (EI)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. Zhang, Q., Zhou, J., Xu, Y., & Zhang, B. (2023). Collaborative representation induced broad learning model for classification. Applied Intelligence, 1-15. (SCIE, JCR Q2)
  12. Zhang, Q., Wen, J., Zhou, J., & Zhang, B. (2022). Missing-view completion for fatty liver disease detection. Computers in Biology and Medicine, 150, 106097.
  13. Zhang, Q., Zhou, J., & Zhang, B. (2021). Computational traditional Chinese medicine diagnosis: a literature survey. Computers in Biology and Medicine, 133, 104358.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. Zhou, J., Zhang, Q., Zeng, S., & Zhang, B. (2022). Fuzzy Graph Subspace Convolutional Network. IEEE Transactions on Neural Networks and Learning Systems. 

 

專業屬會 

2023-至今 IEEE 會員