The group currently identified the following areas based on the importance and timeliness of the research issues behind as well as the expertise of the members of the research group.
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Jiming LIU (PI; GRF 2020-21; RGC/HKBU12202220)
Extracting Homogeneity and Heterogeneity of Different Learning Tasks: A Novel Multi-Task Learning Framework for Feature Extraction, Regression, and Spatio-Temporal Prediction -
Jiming LIU (PI; GRF 2019-20; RGC/HKBU12201619)
Overcoming Data Heterogeneity, Dependency, and Noise: A Novel Spatio-Temporal Learning Framework -
Jiming LIU (PI; GRF 2018-19; RGC/HKBU12201318)
Modeling and Inferring Latent Diffusion Networks for Active Surveillance and Prediction of Infectious Diseases -
William K. CHEUNG (PI; GRF 2021-21; RGC/HKBU/12202621)
Towards Clinically Accurate Medical Image Report Generation Using Deep Generative Models Data -
William K. CHEUNG (PI; GRF 2019-20; RGC/HKBU12201219)
A Temporal Tensor Factorization Framework for Phenotyping and Dynamic Patient Representation Learning Using Multi-Modal EHR Data -
William K. CHEUNG (PI; GRF 2017-18; RGC/HKBU12202117)
Joint Embedding of Sequential Data and Knowledge Graphs with application to Predictive Analytics in Healthcare -
Yiu-ming CHEUNG (PI; ITF 2018-19; ITS/339/18)
On Developing a Lip-password Based Face Recognition System -
Yang LIU (PI; GRF 2017-18; RGC/HKBU12202417)
Learning Deep Video Manifolds from Multiple Cameras for Abnormal Crowd Behavior Recognition
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