Jing LAN 「蓝靖」
PhD Candidate
Department of Health Technology and Informatics (HTI)
The Hong Kong Polytechnic University (PolyU)
Email: jing-hti.lan [at] connect (dot) polyu (dot) hk
Current Research Topics:
  • AI4Science
  • Multimodal Learning
  • Medical Imaging Processing
  • Computer Vision
  • Deep learning

I am currently a PhD candidate in the Department of Health Technology and Informatics (HTI) at The Hong Kong Polytechnic University, under the supervision of Prof. Jung Sun Yoo. Before joining Optical Imaging Group for Translational Medicine (OIG), I received my B.E. degree in Computer Science and Technology at Conservatoire national des arts et métiers (le cnam), advised by Paul Blondel, David Bassir and Eric Soutil.

My current primary research interest lies in exploring problems in the field of health informatics and life sciences using deep learning methods, particularly in topics such as drug discovery, molecular docking, protein-ligand binding prediction, etc. Additionally, I am continuously keeping track of research related to pre-trained language models, multimodal learning, and data-centric artificial intelligence.

If you are interested in my work or would like to collaborate, please feel free to contact me.

Publications
Research on Cybersecurity Risk Assessment in SCADA Networks Based on AHP-RSR
International Conference on Communications, Information System and Computer Engineering 2020 /Conference
Design and Implementation of a Machine Learning-based Third-Party Library Detection and Analysis System in Android Apps
Kangye Xu,
Zhentao Zhong
The Interdisciplinary Contest in Modeling (ICM) 2020 /Conference
Projects
Design and Implementation of a Machine Learning-based Third-Party Library Detection and Analysis System in Android Apps
Image Search Raspberry Pi: Online image search platform running on the Raspberry Pi via Object detection through Tensorflow lite
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