Kaiping Zheng

Kaiping Zheng

Senior Research Fellow

National University of Singapore

Biography

Kaiping Zheng is a Senior Research Fellow in Database System Research Group, National University of Singapore (NUS). She obtained her 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.

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

Research Interests

  • Healthcare Data Representation Learning
  • Interpretable Healthcare Analytics
  • Healthcare Data Management

Education

  • Ph.D. in Computer Science, 2020

    National University of Singapore

  • B.Eng. in Computer Science, 2014

    Harbin Institute of Technology

Selected Publications

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
International Conference on Machine Learning, ICML 2024
PDF Video
Qingpeng Cai, Kaiping Zheng, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics
50th International Conference on Very Large Databases, VLDB 2024
PDF
Charlene Enhui Goh, Kaiping Zheng, Wen Yong Chua, Thao Nguyen, Changshuo Liu, Chun Keat Koh, Gabriel Keng Yan Lee, Chong Meng Tay, Beng Chin Ooi, Mun Loke Wong
Development of a dental diet-tracking mobile app for improved caries-related dietary behaviours: Key features and pilot evaluation of quality
Digital Health 2024
PDF
Chiaw Ling Chng, Kaiping Zheng, Ann Kerwen Kwee, Ming-Han Hugo Lee, Daniel Ting, Chen Pong Wong, Guoyu Hu, Beng Chin Ooi, Si Wei Kheok
Application of Artificial Intelligence in the Assessment of Thyroid Eye Disease (TED) - A Scoping Review
Frontiers in Endocrinology 2023
PDF
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics
48th International Conference on Very Large Databases, VLDB 2022
PDF
Kaiping Zheng, Thao Nguyen, Changshuo Liu, Charlene Goh, Beng Chin Ooi
eDental: Managing Your Dental Care in Diet Diaries
Proceedings of the 2022 ACM on Conference on Information and Knowledge Management, CIKM 2022 (demo)
PDF Best Demo Paper Award Runner Up
Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics
38th IEEE International Conference on Data Engineering, ICDE 2022
PDF
Horng Ruey Chua, Kaiping Zheng, Anantharaman Vathsala, Kee Yuan Ngiam, Hui-Kim Yap, Liangjian Lu, Ho-Yee Tiong, Amartya Mukhopadhyay, Graeme MacLaren, Shir-Lynn Lim, K Akalya, Beng Chin Ooi
Healthcare Analytics with Time-invariant and Time-variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
Journal of Medical Internet Research (JMIR) 2021
PDF
Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
Proceedings of the 29th ACM International Conference on Multimedia, MM 2021
PDF
Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery
Proceedings of the 2021 International Conference on Management of Data, SIGMOD 2021
PDF 5-min Video 20-min Video
Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
ARM-Net: Adaptive Relation Modeling Network for Structured Data
Proceedings of the 2021 International Conference on Management of Data, SIGMOD 2021
PDF
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
37th IEEE International Conference on Data Engineering, ICDE 2021
PDF
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
Proceedings of the 2020 International Conference on Management of Data, SIGMOD 2020
PDF Slides Video
Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, James Wei Luen Yip
Big Healthcare Data Analytics: Challenges and Applications
Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017
PDF
Kaiping Zheng, Wei Wang, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, James Wei Luen Yip
Capturing Feature-Level Irregularity in Disease Progression Modeling
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017
PDF Slides Video
Kaiping Zheng, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, James Wei Luen Yip
Resolving the Bias in Electronic Medical Records
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017
PDF Poster Video
Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Wei Wang, Qingchao Cai, Gang Chen, Jinyang Gao, Zhaojing Luo, Anthony K. H. Tung, Yuan Wang, Zhongle Xie, Meihui Zhang, Kaiping Zheng
SINGA: A Distributed Deep Learning Platform
Proceedings of the 23rd ACM international conference on Multimedia, MM 2015
PDF

Professional Services

Program Committee Member

  • VLDB 2022, 2025
  • ICDE 2023 - 2025
  • SIGKDD 2022 - 2025
  • ICLR 2025
  • AAAI 2021 - 2022, 2024 - 2025
  • AISTATS 2025
  • SIGKDD ADS 2023 - 2024
  • NeurIPS 2024
  • IJCAI 2023 - 2024
  • SDM 2024
  • ICDE 2023 PhD Symposium
  • DASFAA 2023 - 2024 (Demo Track)
  • ECML-PKDD 2023 - 2024 (ADS Track)
  • SISAP 2020 - 2024

Conference Session Chair

  • VLDB 2022: Data Mining and Analytics

Invited Grant Reviewer

  • Vidi Grant for the Dutch Research Council

Journal Reviewer

  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Big Data
  • IEEE Transactions on Cloud Computing
  • IEEE Transactions on Signal Processing
  • Communications of the ACM
  • ACM Transactions on Knowledge Discovery from Data
  • ACM Transactions on Data Science
  • ACM Journal of Data and Information Quality
  • Knowledge-Based Systems
  • Neural Networks
  • Information Fusion
  • Information Processing and Management
  • Computers in Biology and Medicine
  • Artificial Intelligence in Medicine
  • JMIR Medical Informatics
  • BMC Medical Research Methodology
  • Expert Systems With Applications
  • Behavior Research Methods
  • Signa Vitae
  • Biomedical Signal Processing and Control
  • Engineering Structures

Invited Talks

Electronic Health Records Analytics in Hospital-Acquired AKI Prediction

Clinician-Scientist Talk, NUHS, 2021.

Towards Boosting Performance of Healthcare Analytics: Resolving Challenges in Electronic Medical Records

SoC Research Talk, School of Computing in NUS, 2018. Slides

Disease Progression Modelling for Chronic Kidney Disease - A Deep Learning Approach

Clinical Artificial Intelligence in the Age of Precision Medicine, NUHS, 2017.

Teaching

  • CS4225 - Massive Data Processing Techniques in Data Science, NUS, Teaching Assistant.
  • CS2102 - Database Systems, NUS, Teaching Assistant.

Awards

  • SIGMOD Systems Award, SIGMOD 2024
  • Best Demo Paper Award (Runner Up), CIKM 2022
  • Valedictorian Speech, NUS School of Computing, 2021 Video
  • IMDA Excellence Prize 2020 for Best Ph.D. Thesis, Singapore, 2019 - 2020.
  • NUS Dean's Graduate Research Excellence Award, Singapore, 2017 - 2018.
  • NUS Research Achievement Award, Singapore, 2016 - 2017.
  • NUS Research Scholarship, Singapore, 2014 - 2018.
  • National Scholarship, China, 2011 - 2012.