Publications

  • Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT

    • J. Hallinan et al. Frontiers in Oncology, 2023. (medical)

  • A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT

    • J. Hallinan et al. European Spine Journal, 2023. (medical)

  • Regularized Pairwise Relationship based Analytics for Structured Data

    • Z. Luo, S. Cai, Y. Wang, B. C. Ooi. ACM SIGMOD, 2023.

  • A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset

    • K. Zheng et al. 2023.

  • eDental: Managing Your Dental Care in Diet Diaries

    • K. Zheng, Tnguyen, C. Liu, C.E. Goh, B. C. Ooi. ACM CIKM, 2022. (demo)

  • Improved Productivity Using Deep Learning Assisted Reporting for MRI Lumbar Spine

    • D. S. W. Lim et al. RSNA Radiology, 2022. (medical)

  • Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis

    • W. Ong, et al. Cancer, 2022. (medical)

  • Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI

    • J. Hallinan et al. Frontiers in Oncology, 2022. (medical)

  • DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics

    • K. Zheng, S. Cai, H.-R. Chia, M. Hershel, M. Zhang, B. C. Ooi. VLDB, 2022.

  • ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics

    • Q. Cai, K. Zheng, B. C. Ooi, W. Wang, C. Yao. ICDE, 2022.

  • Healthcare Analytics with Time-invariant and Time-variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study

    • H. R. Chua et al. JMIR, 2021. (medical)

  • SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis

    • N. Xing et al. ACM Multimedia, 2021.

  • Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

    • L. Zhu, L. L. Chan, T. K. Ng, K. Yang, M. Zhang, B. C. Ooi. MICCAI, 2021.

  • Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI

    • J. Halinan et al. RSNA Radiology, 2021. (medical)

  • ARM-Net: Adaptive Relation Modeling Network for Structured Data

    • S. Cai, K. Zheng, G. Chen, H.V. Jagadish, B.C. Ooi, M. Zhang. ACM SIGMOD, 2021.

  • 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. ACM SIGMOD, 2021.

  • LDA-Reg: Knowledge Driven Regularization using External Corpora

    • K. Yang, Z. Luo, J. Gao, J. Zhao, B.C. Ooi, B. Xie. IEEE TKDE, 2021.

  • MLCask: Efficient Management of ComponentEvolution 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. ICDE, 2021.

  • Adaptive Knowledge Driven Regularization for Deep Neural Networks

    • Z. Luo, S. Cai, C. Cui, B. C. Ooi, Y. Yang. AAAI, 2021.

  • 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. ACM SIGMOD, 2020.

  • Cool: a COhort OnLine analytical processing system

    • Z. Xie, H. Ying, C. Yue, M. Zhang, G. Chen, B. C. Ooi. ICDE, 2020.

  • Improving Data Analytics with Fast and Adaptive Regularization

    • Z. Luo, S. Cai, G. Chen, J. Gao, W. Lee, K.Y. Ngiam, M. Zhang. TKDE, 2019.

  • Medical Concept Embedding with Time-Aware Attention

    • X. Cai, J. Gao, K. Y. Ngiam, B. C. Ooi, Y. Zhang and X. Yuan. IJCAI, 2018.

  • Fine-grained Concept Linking using Neural Networks in Healthcare

    • J. Dai, M. Zhang, G. Chen, J. Fan, K.Y. Ngiam and B.C. Ooi. ACM SIGMOD, 2018.

  • Cohort Analysis with Ease

    • Z. Xie, Q. Cai, F. He, G.Y. Ooi, W. Huang, B.C. Ooi. ACM SIGMOD, 2018.

  • Effective Temporal Dependence Discovery in Time Series Data

    • Q. Cai, Z. Xie, M. Zhang, G. Chen, H.V. Jagadish, B.C. Ooi. Int'l Conference on Very Large Data Bases (VLDB), 2018.

  • ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications

    • S. Wang, T. T. A . Dinh, Q. Lin, Z. Xie, M. Zhang, Q. Cai, G. Chen, B.C. Ooi, P. Ruan. Int'l Conference on Very Large Data Bases (VLDB), 2018.

  • Adaptive Lightweight Regularization Tool for Complex Analytics

    • Z. Luo, S. Cai, J. Gao, M. Zhang, K.Y. Ngiam, G. Chen and W. Lee. ICDE, 2018.

  • Resolving the Bias in Electronic Medical Records

    • K. Zheng, J. Gao, K. Y. Ngiam, B. C. Ooi and W.L.J. Yip. ACM KDD, 2017.

  • Capturing Feature-Level Irregularity in Disease Progression Modeling

    • K. Zheng, W. Wang, J. Gao, K.Y. Ngiam, B.C. Ooi and W.L.J. Yip. CIKM, 2017.

  • UStore: A distributed storage with rich semantics

    • A. Dinh, J. Wang, S. Wang, G. Chen, W.-N. Chin, Q. Lin, B. C. Ooi, P. Ruan, K.-L. Tan, Z. Xie, H. Zhang, and M. Zhang. arXiv:1702.02799, 10 February 2017.

  • Cohort Query Processing

    • D. Jiang, Q. Cai, G. Chen, H. Jagadish, B. C. Ooi, K. L. Tan, A. Tung. Int'l Conference on Very Large Data Bases (VLDB), 2016.

  • Big Healthcare Data Analytics: Challenges and Applications

    • C. Lee, Z. Luo, K.Y. Ngiam, M. Zhang, K. Zheng, G. Chen, B.C. Ooi and W.L.J. Yip. Handbook of Large-Scale Distributed Computing in Smart Healthcare, Springer-Verlag, 2016.

  • SINGA: A Distributed Deep Learning Platform

    • B. C. Ooi, K.-L. Tan, S. Wang, W. Wang, G. Chen, J. Gao, Z. Luo, A.K.H. Tung, Y. Wang, Z. Xie, M. Zhang and K. Zheng. ACM Multimedia (Open Source Software Competition), 2015.

  • SINGA: Putting Deep Learning in the Hands of Multimedia Users

    • W. Wang, G. Chen, T. T. A. Dinh, J. Gao, B. C. Ooi, K.-L.Tan and S. Wang. ACM Multimedia, 2015.

  • epiC: an Extensible and Scalable System for Processing Big Data

    • D. Jiang, G. Chen, B.C. Ooi, K.L. Tan, S. Wu.  Int'l Conference on Very Large Data Bases (VLDB), 2014. (Best Paper Award)

  • Gemini: An Integrative Healthcare Analytics System

    • Z.J. Ling, Q.T. Tran, J. Fan, G.C.H. Koh, T. Nguyen, C.S. Tan, J.W.L. Yip and M. Zhang. PVLDB 7(13): 1766-1771, 2014.

  • Contextual Crowd Intelligence

    • B. C. Ooi, K.-L. Tan, Q.T. Tran, J.W.L. Yip, G. Chen, Z.J. Ling, T. Nguyen, A.K.H. Tung and M. Zhang. SIGKDD Exploration, 2014.