We Are Hiring

We are actively looking for Research Assistants, Undergraduates, and MSc students with a passion for scientific research to join our dynamic team. Below you will find detailed information about our ongoing projects and qualifications we are looking for in candidates.

Research Projects

We are involved in a variety of cutting-edge research projects. Below are some of the initiatives we are currently working on, along with key literature in the field (including some of our own contributions):

• Irregular Clinical Time Series Modelling
  • PATNet (IEEE TKDE)
  • STraTS (ACM TKDD)
  • Warpformer (KDD-23)
  • Raindrop (ICLR-22)
• Multi-Modal Clinical Prediction
  • DrFuse (AAAI-24)
  • PIBD (ICLR-24)
  • M³Care (KDD-22)
  • FlexGen-EHR (ICLR-24)
• Personalized Treatment Effect Estimation and Treatment Recommendation
  • Treatment Policy Learning (KDD-20)
  • Generalization Bound for ITE estimation (ICML-17)
  • HTCE (NeurIPS-22)
  • TESAR-CDE (ICML-23)
• Antibiotic Resistance Prediction
  • Predicting BI and Antibiotic Needs (JBI)
  • Transportability of BI prediction (JAMIA)

Background Requirements

Ideal candidates should possess:

• Completion of at least one machine learning and/or deep learning course, equivalent to CS229 or CS231n.
• Fluent in Python, scikit-learn, and PyTorch.
  Minimum requirement: you should be capable of understanding and reproducing the research from any of the following works:
  • Wrapformer: [paper], [code]
  • FCRO: [paper], [code]
  • UTDE: [paper], [code]

Application Process

• Research Assistants can choose to work in Shenzhen, or in Hong Kong, with the understanding that salary scales will differ accordingly.
• Positions for Undergraduates and MSc students are exclusive to current HKBU students who wish to pursue a research degree post-graduation.
• To apply, please email Dr. Kejing Yin (cskjyin@comp.hkbu.edu.hk) with your CV and transcripts attached.