CityU

Assistant Professor Chi Liu


Dr. Chi Liu

Assistant Professor Master Supervisor 

Email：chiliu@cityu.edu.mo

Tel：(853)85902277

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

 

Homepage

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

 

Incumbent 

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

City University of Macau-Qinghai Green Trusted Intelligent Computing Joint Laboratory (GRIN Lab), Executive Director 

 

Educational qualifications 

University of Technology, Sydney, Australia, Doctor of Philosophy in Computer Science, 2024 

China Ship Research & Development Academy, Master of Computer System Architecture, 2015 

Wuhan University, Electronic Information School, Bachelor of Communication Engineering, 2012 

 

Research and work experience 

Monash University, Australia, Faculty of IT, MMAI Group, Research Fellow, 2023-2024 

Australia Optin Company, Ophthalmic AI Research Consultant (part-time), 2023-2024 

Sun Yat-sen University, Zhongshan Ophthalmology Center, Research Assistant, 2018-2022 

China Mobile Guangdong Province Company, Business System Engineer, 2015-2017 

 

Courses taught 

City University of Macau BIT010 Design Computing Studio (Big Data) 

University of Technology Sydney Course 41183 Privacy Preserving 

 

Research interests 

– Green and trusted artificial intelligence: AIGC content security, AI attack and defense 

– Digital and intelligent health: multi-modal and generative medicine, AI real-world research, medical image analysis 

 

Research projects and funding  

1. National Natural Science Foundation of China Youth Project, research on defense technology for AI image synthesis in complex open interactive environments, under research, leader 

2. Special funds from the City University of Macau-Qinghai Lansuan Green Trustworthy Intelligent Computing Joint Laboratory, research in progress, person in charge 

 

Research and publishing 

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 recognition lesion. 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.
  1. 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 

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.

 

Academic Awards 

Second Prize in the Guangdong Division Undergraduate Group of the 10th National Undergraduate Statistical Modeling Competition, Instructor 2024 

2022 China National Scholarship for Outstanding Self-financed Students Abroad 

ARC Discover Project Scholarship, University of Technology Sydney 2019 – 2022 

International Research Scholarship, University of Technology Sydney 2019 – 2022 

ARC Linkage Project Scholarship top-up. University of Technology Sydney 2020, 2021, 2022 

 

Professional association 

IEEE member