Dr. Wenjian Liu
Associate Professor Doctoral Supervisor/Master Supervisor
Associate Dean (Teaching and Learning), Faculty of Data Science
E-mail: andylau@cityu.edu.mo
Contact number: 85902751
Academic Qualifications
Doctor of Philosophy in Applied Psychology, City University of Macau, Macau, China
Communication and Information Systems Doctor of Philosophy, South China University of Technology, China
Master's degree in Communication and Information Systems, South China University of Technology, China
Bachelor of Radio Technology Economic Information Management (Double Major), South China University of Technology, China
Research Interests
Smart medical care
GenAI
Research and publications in recent years
L. Xing and W. Liu, (2021). "A Data Fusion Powered Bi-Directional Long Short Term Memory Model for Predicting Multi-Lane Short Term Traffic Flow," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS. 2021.3095095.
Lumin Xing*, Wenjian Liu, Xiaoliang Liu, Xin Li and Han Wang, (2022) “Use of deep learning in nano image processing through the CNN model”, in Advances in Nano Research Volume 12, Number 2, February 2022, pages 185 -195, DOI: 10.12989/anr.2022.12.2.185.
Xing, L., Liu, W., Li, X., Wang, H., Jiang, Z., & Wang, L. (2022). Application of machine learning and deep neural network for wave propagation in lung cancer cell. ADVANCES IN NANO RESEARCH, 13(3),297-312.
L. Xing, W. Liu, X. Liu and X. Li, (2023) "An Enhanced Vision Transformer Model in Digital Twins Powered Internet of Medical Things for Pneumonia Diagnosis," in IEEE Journal on Selected Areas in Communications, doi: 10.1109 /JSAC.2023.3310096.
L. Xing, X. Li, W. Liu and X. Wang, (2024) "A Fuzzy-Operated Convolutional Autoencoder for Classification of Wearable Device-Collected Electrocardiogram," in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2024.3388023 .
Wei Li · Fucang Jia · Wenjian Liu. (2024) EndoSRR: a comprehensive multi-stage approach for endoscopic specular reflection removal. International Journal of Computer Assisted Radiology and Surgery https://doi.org/10.1007/s11548-024-03137- 8
Pengju Lyu, Wenjian Liu, Tingyi Lin, Jie Zhang, Yao Liu, Cheng Wang and Jianjun Zhu (2024) Semi-supervised segmentation of abdominal organs and liver tumor: uncertainty rectified curriculum labeling meets X-fuse Machine Learning: Science and Technology, Volume 5, Number 2, DOI 10.1088/2632-2153/ad4c38
