Kejing Yin

RRS727

+852-34116979

cskjyin@comp.hkbu.edu.hk

As a Research Assistant Professor in the Department of Computer Science at Hong Kong Baptist University, I engage in advancing the frontiers of knowledge in machine learning as applied to healthcare data analytics. Prior to my current role, I earned my Ph.D. degree and subsequently served as a Post-doctoral Research Fellow, both under the supervision of Prof. William K. Cheung. My academic journey began with a Bachelor’s degree in Thermal Energy and Power Engineering from the South China University of Technology. I was a visiting PhD student at the College of Computing at Georgia Institute of Technology, where I had the privilege of working with Prof. Jimeng Sun between September 2019 and February 2020.

My research primarily focuses on machine learning for high-dimensional healthcare data analytics. I have a keen interest in computational phenotyping and predictive analytics for large-scale multi-modal clinical data, encompassing electronic health records (EHR), medical images, and clinical notes. I regularly serve as a program committee member and reviewer for prestigious international conferences and journals, such as AAAI, NeurIPS, ICLR, KDD, and IJCAI.

I currently have several research positions available. Please see this post for details.

News

Feb 29, 2024	Awarded one Health and Medical Research Fund (HMRF) grant as PI. The project aims to help combat antimicrobial resistance (AMR) in ICU with artificial intelligence.
Dec 09, 2023	One paper accepted by AAAI-24.
Oct 01, 2023	One paper accepted by IEEE Transactions on Knowledge and Data Engineering.

Selected Publications

See all publications

AAAI-24

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency

W. Yao* , K. Yin* , W. K. Cheung , J. Liu , and J. Qin

In Proceedings of the AAAI Conference on Artificial Intelligence , 2024

Bib Publisher PDF Code

@inproceedings{drfuse2024yao,
  doi = {10.1609/aaai.v38i15.29578},
  title = {{DrFuse}: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency},
  author = {Yao, Wenfang and Yin, Kejing and Cheung, William K. and Liu, Jia and Qin, Jing},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {38},
  number = {15},
  year = {2024},
  pages = {16416-16424}
}

IEEE TKDE

PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias

K. Yin , D. Qian , and W. K. Cheung

IEEE Transactions on Knowledge and Data Engineering, 2023

Bib Publisher PDF

@article{yin2023patnet,
  title = {PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias},
  author = {Yin, Kejing and Qian, Dong and Cheung, William K},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  year = {2023},
  publisher = {IEEE}
}

IEEE TKDE

Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records

K. Yin , W. K. Cheung , B. C. Fung , and J. Poon

IEEE Transactions on Knowledge and Data Engineering, 2022

Bib Publisher PDF Code

@article{yin2022learning,
  title = {Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records},
  author = {Yin, Kejing and Cheung, William K and Fung, Benjamin CM and Poon, Jonathan},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  volume = {34},
  number = {09},
  pages = {4328--4341},
  year = {2022},
  publisher = {IEEE Computer Society}
}

AAAI-21

SWIFT: Scalable Wasserstein factorization for sparse nonnegative tensors

A. Afshar , K. Yin , S. Yan , C. Qian , J. Ho , H. Park , and J. Sun

In Proceedings of the AAAI Conference on Artificial Intelligence , 2021

Bib Publisher PDF Code

@inproceedings{afshar2021swift,
  title = {{SWIFT}: Scalable {Wasserstein} factorization for sparse nonnegative tensors},
  author = {Afshar, Ardavan and Yin, Kejing and Yan, Sherry and Qian, Cheng and Ho, Joyce and Park, Haesun and Sun, Jimeng},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {35},
  number = {8},
  pages = {6548--6556},
  year = {2021}
}

KDD-20

LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values

K. Yin , A. Afshar , J. C. Ho , W. K. Cheung , C. Zhang , and J. Sun

In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2020

Bib Publisher PDF Code

@inproceedings{yin2020logpar,
  title = {LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values},
  author = {Yin, Kejing and Afshar, Ardavan and Ho, Joyce C and Cheung, William K and Zhang, Chao and Sun, Jimeng},
  booktitle = {Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  pages = {1625--1635},
  year = {2020}
}

Awards

Dec. 2021	Hong Kong Young Scientist Awards, Honorable Mention The Hong Kong Institution of Science
Mar. 2021	Yakun Scholarship for Mainland PG Students Hong Kong Baptist University
2018-2020	Department RPg Performance Awards (for three consecutive years) Department of Computer Science, HKBU
2017-2019	Best Presentation Award in Postgraduate Symposium (for three consecutive years) Department of Computer Science, HKBU