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劉馳 助理教授


劉馳 博士

助理教授 碩導

電子郵箱：chiliu@cityu.edu.mo

電話：(853)85902277

辦公地址：澳門城市大學(氹仔)何鴻燊樓S501室

 

主頁

Google scholar: https://scholar.google.com/citations?hl=en&user=OVA8Q54AAAAJ

 

現任

澳門城市大學數據科學學院助理教授，碩導

澳門城市大學-青海藍算綠色可信智能計算聯合實驗室（GRIN Lab），執行主任

 

學歷

澳大利亞悉尼科技大學，計算機科學 博士，2024

中國艦船研究院，計算機系統結構 碩士，2015

武漢大學，電子信息學院 通信工程 學士，2012

 

科研和工作經歷

澳大利亞Monash大學，Faculty of IT，MMAI Group，Research Fellow，2023-2024

澳大利亞Optain公司，Ophthalmic AI Research Consultant (part-time)，2023-2024

中山大學，中山眼科中心，研究助理，2018-2022

中國移動廣東省公司，業務係統工程師，2015-2017

 

曾任教科目

澳門城市大學 BIT010 設計計算工作室（大數據）

悉尼科技大學Course 41183 Privacy Preserving

 

研究興趣

– 綠色可信人工智能：AIGC內容安全，AI攻防

– 數智化大健康：多模態和生成式醫療，AI真實世界研究，醫學圖像分析

 

科研項目和經費

1. 國家自然科學基金青年項目，面向複雜開放交互環境中AI圖像合成的防禦技術研究，在研，負責人

2. 澳門城市大學-青海藍算綠色可信智能計算聯合實驗室專項經費，在研，負責人

 

研究及出版

Selected Refereed Articles

  1. Wang, Y., Liu, C., Hu, W., Luo, L., Shi, D., Zhang, J., Yin, Q., Zhang, L., Han, X., & He, M. (2024). Economic evaluation for medical artificial intelligence: Accuracy vs. Cost-effectiveness in a diabetic retinopathy screening case. NPJ Digital Medicine, 7(1), 43.
  2. Yan, S., Yu, Z., Liu, C., Ju, L., Mahapatra, D., Betz-Stablein, B., Mar, V., Janda, M., Soyer, P., & Ge, Z. (2024). Prompt-driven latent domain generalization for medical image classification. IEEE Transactions on Medical Imaging.
  3. Liu, C., Zhu, T., Zhao, Y., Zhang, J., & Zhou, W. (2024). Disentangling different levels of GAN fingerprints for task-specific forensics. Computer Standards & Interfaces, 89, 103825.
  4. Wang, Y., Liu, C., Zhou, K., Zhu, T., & Han, X. (2024). Towards regulatory generative AI in ophthalmology healthcare: A security and privacy perspective. British Journal of Ophthalmology.
  5. Wu, Y., Keel, S., Carneiro, V. L. A., Zhang, S., Wang, W., Liu, C., Tang, X., Han, X., & He, M. (2024). Real-world application of a smartphone-based visual acuity test (WHOeyes) with automatic distance calibration. British Journal of Ophthalmology.
  6. Chen, H., Liu, C., Zhu, T., & Zhou, W. (2024). When deep learning meets watermarking: A survey of application, attacks and defenses. Computer Standards & Interfaces, 103830.
  7. Chen, H., Zhu, T., Liu, C., Yu, S., & Zhou, W. (2024). High-frequency matters: Attack and defense for image-processing model watermarking. IEEE Transactions on Services Computing.
  8. Liu, C., Zhu, T., Shen, S., & Zhou, W. (2023). Towards robust gan-generated image detection: A multi-view completion representation. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), 464–472.
  9. Yan, S., Liu, C., Yu, Z., Ju, L., Mahapatra, D., Mar, V., Janda, M., Soyer, P., & Ge, Z. (2023). Epvt: Environment-aware prompt vision transformer for domain generalization in skin lesion recognition. International Conference on Medical Image Computing and Computer-Assisted Intervention, 249–259.
  10. Liu, C., Zhu, T., Zhang, J., & Zhou, W. (2022). Privacy Intelligence: A Survey on Image Privacy in Online Social Networks. ACM Computing Surveys (CSUR), 55(8), 161.
  11. Liu, C., Chen, H., Zhu, T., Zhang, J., & Zhou, W. (2022). Making DeepFakes more spurious: Evading deep face forgery detection via trace removal attack. IEEE Transactions on Dependable and Secure Computing, 20(6), 5182–5196.
  12. Zhou, S., Liu, C., Ye, D., Zhu, T., Zhou, W., & Yu, P. S. (2022). Adversarial attacks and defenses in deep learning: From a perspective of cybersecurity. ACM Computing Surveys,
  13. Han, X., Liu, C., Chen, Y., & He, M. (2022). Myopia prediction: A systematic review. Eye, 36(5), 921–929.
  14. Liu, C., Ge, Z., He, M., & Han, X. (2022). A label uncertainty-guided multi-stream model for disease screening. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1–5.
  15. Liu, C., Wang, W., Li, Z., Jiang, Y., Han, X., Ha, J., Meng, W., & He, M. (2019). Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging. MICCAI 2019-International Conference on Medical Image Computing and Computer-Assisted Intervention, 138–146.
  16. Han, X., Scheetz, J., Keel, S., Liao, C., Liu, C., Jiang, Y., Müller, A., Meng, W., & He, M. (2019). Development and validation of a smartphone-based visual acuity test (vision at home). Translational Vision Science & Technology, 8(4), 27–27.
  17. Li, Z., Keel, S., Liu, C., He, Y., Meng, W., Scheetz, J., Lee, P. Y., Shaw, J., Ting, D., Wong, T. Y., & others. (2018). An automated grading system for detection of vision-threatening referable diabetic retinopathy on the basis of color fundus photographs. Diabetes Care, 41(12), 2509–2516.

Book Chapters

  1. Liu, C., Tan, Z., & He, M. (2022). Overview of artificial intelligence in medicine. In Artificial Intelligence in Medicine: Applications, Limitations and Future Directions (pp. 23–34). Springer Nature Singapore Singapore.

 

學術獎項

第十届全國大學生統計建模大賽廣東賽區本科生組二等獎 指導老師 2024

2022年度中國國家優秀自費留學生獎學金

ARC Discover Project Scholarship，悉尼科技大學 2019 – 2022

International Research Scholarship，悉尼科技大學 2019 – 2022

ARC Linkage Project Scholarship top-up. 悉尼科技大學 2020, 2021, 2022

 

專業屬會

IEEE會員