Associate Professor Wenjian Liu Associate Dean


Dr. Wenjian Liu

 

Associate Professor Doctoral Supervisor/Master Supervisor 

Associate Dean (Teaching and Learning), Faculty of Data Science 

 

Contact information 

 

E-mail: andylau@cityu.edu.mo 

Contact number: 85902751 

 

 

Educational 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 

 

Incumbent 

Faculty of Data Science Associate Dean (Teaching and Learning) 

 

Served 

Director, Information Office, City University of Macau 

Director, General Education Department, City University of Macau 

Course Director, Institute of Data Science, City University of Macau 

Director of Graduate Studies, Faculty of Data Science, City University of Macau 

 

Teaching courses 

Artificial Intelligence Cutting-edge topics, Data Science Cutting-edge Analysis and Research 

 

Courses taught 

Introduction to Data Science, Cloud Computing and Big Data Analysis, Computer Programming, Design Computing Studio I, Spark Big Data Processing Technology and Applications, Discrete Mathematics, Information Systems, Management Information Systems, Computer Application, academic special project 

 

Research direction 

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