K郑

Kaiping Zheng郑凯平

I am a Senior Research Fellow in the Database System Research Group, National University of Singapore (NUS). I obtained my Ph.D. degree in Computer Science from NUS in 2020 with IMDA Excellence Prize for Best Ph.D. Thesis, supervised by Prof. Beng Chin Ooi.

My research interests mainly focus on facilitating high quality and explainable healthcare delivery, driven by healthcare data and artificial intelligence technologies. I am currently collaborating with clinicians on various medical problems in healthcare practice ranging from clinical medicine to lifestyle intervention.

Selected Publications

2026ICASSP
DISCERN: Discrepancy Learning for Weakly Supervised Medical Image Segmentation
G. Su, K. Zheng, Y. Wang, J. Chen, S. Bing, S. Deng, H. Jiang
2025NeurIPS
Detecting Data Deviations in Electronic Health Records
K. Zheng, H. R. Chua, B. C. Ooi
2025KDD
CLEAR: Addressing Representation Contamination in Multimodal Healthcare Analytics
G. Su, K. Zheng, T. Zhao, J. Yin
2025ICML
NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics
C. Liu, L. Zeng, K. Zheng, S. Cai, B. C. Ooi, J. W. L. Yip
2025Orbit
Orbital CT deep learning models in thyroid eye disease rival medical specialists' performance in optic neuropathy prediction in a quaternary referral center and revealed impact of the bony walls
S. W. Kheok, G. Hu, M.-H. H. Lee, C. P. Wong, K. Zheng, H. M. Htoon, Z. Lei, A. S. M. Tan, L. L. Chan, B. C. Ooi, L. L. Seah
2024ICML
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
K. Zheng, H. R. Chua, M. Herschel, H. V. Jagadish, B. C. Ooi, J. W. L. Yip
2024VLDB
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics
Q. Cai, K. Zheng, H. V. Jagadish, B. C. Ooi, J. W. L. Yip
2024Digital Health
Development of a dental diet-tracking mobile app for improved caries-related dietary behaviours: Key features and pilot evaluation of quality
C. Goh, K. Zheng, W. Y. Chua, T. Nguyen, C. Liu, C. K. Koh, G. K. Y. Lee, C. M. Tay, B. C. Ooi, M. L. Wong
2023Frontiers in Endocrinology
Application of Artificial Intelligence in the Assessment of Thyroid Eye Disease (TED) - A Scoping Review
C. L. Chng, K. Zheng, A. K. Kwee, M.-H. H. Lee, D. Ting, C. P. Wong, G. Hu, B. C. Ooi, S. W. Kheok
2022VLDB
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics
K. Zheng, S. Cai, H. R. Chua, M. Herschel, M. Zhang, B. C. Ooi
2022CIKM
eDental: Managing Your Dental Care in Diet Diaries
K. Zheng, T. Nguyen, C. Liu, C. Goh, B. C. Ooi
2022ICDE
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics
Q. Cai, K. Zheng, B. C. Ooi, W. Wang, C. Yao
2021JMIR
Healthcare Analytics with Time-invariant and Time-variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
H. R. Chua, K. Zheng, A. Vathsala, K. Y. Ngiam, H.-K. Yap, L. Lu, H.-Y. Tiong, A. Mukhopadhyay, G. MacLaren, S.-L. Lim, K Akalya, B. C. Ooi
2021MM
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
L. Zhu, Z. Luo, W. Wang, M. Zhang, G. Chen, K. Zheng
2021SIGMOD
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery
K. Zheng, G. Chen, M. Herschel, K. Y. Ngiam, B. C. Ooi, J. Gao
2021SIGMOD
ARM-Net: Adaptive Relation Modeling Network for Structured Data
S. Cai, K. Zheng, G. Chen, H. V. Jagadish, B. C. Ooi, M. Zhang
2021ICDE
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Z. Luo, S. H. Yeung, M. Zhang, K. Zheng, L. Zhu, G. Chen, F. Fan, Q. Lin, K. Y. Ngiam, B. C. Ooi
2020SIGMOD
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
K. Zheng, S. Cai, H. R. Chua, W. Wang, K. Y. Ngiam, B. C. Ooi
2017KAIS
A survey of query result diversification
K. Zheng, H. Wang, Z. Qi, J. Li, H. Gao
2017Handbook
Big Healthcare Data Analytics: Challenges and Applications
C. Lee, Z. Luo, K. Y. Ngiam, M. Zhang, K. Zheng, G. Chen, B. C. Ooi, J. W. L. Yip
2017KDD
Resolving the Bias in Electronic Medical Records
K. Zheng, J. Gao, K. Y. Ngiam, B. C. Ooi, J. W. L. Yip
2017CIKM
Capturing Feature-Level Irregularity in Disease Progression Modeling
K. Zheng, W. Wang, J. Gao, K. Y. Ngiam, B. C. Ooi, J. W. L. Yip
2015MM
SINGA: A Distributed Deep Learning Platform
B. C. Ooi, K.-L. Tan, S. Wang, W. Wang, Q. Cai, G. Chen, J. Gao, Z. Luo, A. K. H. Tung, Y. Wang, Z. Xie, M. Zhang, K. Zheng

Professional Service

Program Committee Member

  • ICML 2025, 2026
  • ICLR 2025, 2026
  • SIGKDD 2022, 2023, 2024, 2025, 2026
  • AAAI 2021, 2022, 2024, 2025, 2026
  • IJCAI 2023, 2024, 2025, 2026
  • ICDE 2023, 2024, 2025, 2026
  • WWW 2026
  • AISTATS 2025, 2026
  • ECML-PKDD (ADS) 2023, 2024, 2025, 2026
  • ICMR 2026
  • WSDM (Short Paper) 2026
  • VLDB 2022, 2025
  • NeurIPS 2024, 2025
  • ACMMM 2025
  • ECAI 2025
  • DASFAA (Demo Track) 2023, 2024, 2025
  • SISAP 2020, 2021, 2022, 2023, 2024, 2025
  • ACM Multimedia Asia (Short Paper) 2025
  • SIGKDD ADS 2023, 2024
  • SDM 2024
  • ICDE (PhD Symposium) 2023

Journal Reviewer

  • ACM Trans. on Knowledge Discovery from Data
  • ACM Trans. on Data Science
  • ACM Journal of Data and Information Quality
  • Artificial Intelligence in Medicine
  • Applied Soft Computing
  • Behavior Research Methods
  • Biomedical Signal Processing and Control
  • Biomolecules and Biomedicine
  • BMC Medical Research Methodology
  • Chemometrics and Intelligent Laboratory Systems
  • Communications of the ACM
  • Computer Vision and Image Understanding
  • Computers in Biology and Medicine
  • Engineering Applications of Artificial Intelligence
  • Engineering Structures
  • Expert Systems With Applications
  • Frontiers in Physics
  • IEEE Trans. on Big Data
  • IEEE Trans. on Cloud Computing
  • IEEE Trans. on Knowledge and Data Engineering
  • IEEE Trans. on Signal Processing
  • Information Fusion
  • Information Processing and Management
  • iScience
  • JMIR Medical Informatics
  • Journal of Biomedical and Health Informatics
  • Knowledge-Based Systems
  • Neural Networks
  • Neurocomputing
  • Pattern Recognition
  • Signa Vitae
  • The VLDB Journal

Conference Session Chair

  • VLDB 2022: Data Mining and Analytics

Invited Grant Reviewer

  • Vidi Grant for the Dutch Research Council

Invited Talks

2021Electronic Health Records Analytics in Hospital-Acquired AKI Prediction. Clinician-Scientist Talk, NUHS.
2018Towards Boosting Performance of Healthcare Analytics: Resolving Challenges in Electronic Medical Records. SoC Research Talk, School of Computing in NUS.
2017Disease Progression Modelling for Chronic Kidney Disease - A Deep Learning Approach. Clinical Artificial Intelligence in the Age of Precision Medicine, NUHS.

Teaching

CS4225Massive Data Processing Techniques in Data Science. NUS, Teaching Assistant.
CS2102Database Systems. NUS, Teaching Assistant.

Awards

2025Outstanding Reviewer. KDD.
2024SIGMOD Systems Award. SIGMOD.
2022Best Demo Paper Award (Runner Up). CIKM.
2021Valedictorian Speech. NUS School of Computing.
2020IMDA Excellence Prize for Best Ph.D. Thesis. Singapore.
2018NUS Dean's Graduate Research Excellence Award. Singapore.
2017NUS Research Achievement Award. Singapore.