K郑

Kaiping Zheng郑凯平

I am a Senior Research Fellow at the School of Computing, National University of Singapore, where I received my Ph.D. in Computer Science in 2020 and was awarded the IMDA Excellence Prize for Best Ph.D. Thesis. My research lies at the intersection of artificial intelligence, data management, and healthcare, driven by a vision of contextual intelligence: AI that grounds each prediction in the patient, the evidence, and the clinical setting in which it is used. I develop robust medical data management methods that turn noisy electronic health records into trustworthy clinical signals, and responsible AI techniques that make model behavior more explainable, safe, and aligned with clinical reasoning. Through long-standing collaborations with clinicians across major hospitals in Singapore, I translate these methods from computational research to clinically validated systems, with the broader goal of building healthcare AI that supports safer, more accountable, and more accessible care.

Selected Publications

2026ICML
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
C. Liu, J. Wu, Z. Xie, W. Zhang, K. Zheng, J. Zhu, Q. Cai, G. A. Ooi, M. C. J. Tan, J. Yin, J. W. L. Yip, B. C. Ooi
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

  • ICDE 2023, 2024, 2025, 2026, 2027
  • ICML 2025, 2026
  • ICLR 2025, 2026
  • SIGKDD 2022, 2023, 2024, 2025, 2026
  • AAAI 2021, 2022, 2024, 2025, 2026
  • IJCAI 2023, 2024, 2025, 2026
  • WWW 2026
  • CIKM 2026
  • AISTATS 2025, 2026
  • ECML-PKDD (ADS) 2023, 2024, 2025, 2026
  • ICMR 2026
  • WSDM (Short Paper) 2026
  • ACMMM 2025, 2026
  • SISAP 2020, 2021, 2022, 2023, 2024, 2025, 2026
  • BioDMS Workshop @ VLDB 2026
  • VLDB 2022, 2025
  • NeurIPS 2024, 2025
  • ECAI 2025
  • DASFAA (Demo Track) 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 Nutrition
  • 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
  • Nature Communications
  • Neural Networks
  • Neurocomputing
  • Pattern Recognition
  • Signa Vitae
  • The VLDB Journal

Editorial Review Board Member

  • Digital Health

Conference Session Chair

  • VLDB 2022: Data Mining and Analytics

Invited Grant Reviewer

  • Vidi Grant for the Dutch Research Council

Invited Talks

2026Advancing Contextual Intelligence in Healthcare: From Data Foundation to Clinical Discovery. SUTD.
2024Toward Healthcare Democratization: A Data Management Perspective. ETH.
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, NUS School of Computing.
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.