Hightlights/Vision papers

  • W. Wang, M. Zhang, G. Chen, H. V. Jagadish, B. C. Ooi and K.-L. Tan: Database Meets Deep Learning: Challenges and Opportunities. 2016 ACM SIGMOD Record paper – Updated in 2019.

  • B. C. Ooi, K.-L. Tan, Q. T. Tran, J. W. L. Yip, G. Chen, Z. J. Ling, T. Nguyen, A. K. H. Tung, M. Zhang: Contextual Crowd Intelligence ACM SIGKDD Explorations Newsletter, 2014.

  • D. Jiang, Q. Cai, G. Chen, H. Jagadish, B. C. Ooi, K. L. Tan, A. Tung: Cohort Query Processing. Int’l Conference on Very Large Data Bases (VLDB), 2017.

  • B.C.Ooi, K.L.Tan, A.Tung: Sense The Physical, Walkthrough the Virtual, Manage The Co (existing) Spacs. ACM SIGMOD Record, Vol. 38, No. 3, 2009.

  • B. C. Ooi, G. Chen, M. Z. Shou, K.-L. Tan, A. Tung, X. Xiao, J. W. L. Yip, B.Zhang, M. Zhang: The Metaverse Data Deluge: What Can We Do About It?, IEEE ICDE, 2023.

  • B.C. Ooi, S. Cai, G. Chen, Y. Shen, K-L. Tan, Y. Wu, X. Xiao, N. Xing, C. Yue, L. Zeng, M. Zhang, Z. Zhao: NeurDB: An AI-powered Autonomous Data System. Science China Information Sciences. 2024.

Selected Papers/Chapters/PPTS

  1. T. Lin et al: HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation. 2025.
  2. A. Lee et al: Deep learning model for automated diagnosis of degenerative cervical spondylosis and altered spinal cord signal on MRI. The Spine Journal. 2025. (medical)
  3. J. Hallinan et al: Enhancing Reporting Efficiency and Accuracy for Degenerative Cervical Spine MRI with Deep Learning. The Royal College of Radiologists Open. 2025. (medical)
  4. Z. Zhao, S. Cai, H. Gao, H. Pan, S. Xiang, N. Xing, G. Chen, B.C. Ooi, Y. Shen, Y. Wu, M. Zhang: NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CIDR 2025.
  5. X. Zhu, X. Luo, Y. Wu, Y. Jiang, X. Xiao, B.C. Ooi: Passive Inference Attacks on Split Learning via Adversarial Regularization. NDSS 2025.
  6. H. Gao, S. Cai, T.T.A Anh, Z. Huang, B.C. Ooi: CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning. ACM SIGMOD 2025.
  7. L. Zeng, N. Xing, S. Cai, G. Chen, B.C. Ooi, J. Pei, Y. Wu: Powering In-Database Dynamic Model Slicing for Structured Data Analytics. VLDB 2025.
  8. A. Lee et al: Deep learning model for automated diagnosis of degenerative cervical spondylosis and altered spinal cord signal on MRI. The Spine Journal. Sep 2024. (medical)
  9. X. Luo, et al: Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. IEEE Transactions on Information Forensics & Security. 2024.
  10. B.C. Ooi, S. Cai, G. Chen, Y. Shen, K-L. Tan, Y. Wu, X. Xiao, N. Xing, C. Yue, L. Zeng, M. Zhang, Z. Zhao: NeurDB: An AI-powered Autonomous Data System. Science China Information Sciences. 2024.
  11. F. Xiao, S. Cai, G. Chen, H.V. Jagadish, B.C. Ooi, M. Zhang: VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. ACM KDD 2024.
  12. K. Zheng, H-R. Chua, M. Herchel, H.V. Jagadish, B.C. Ooi, J.W.L. Yip: Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. ICML 2024.
  13. X. Yang, C. Yue, W. Zhang, Y. Liu, B. C. Ooi, J. Chen: SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database. VLDB 2024.
  14. Y. Zhu, Y. Wu, Z. Luo,, B. C. Ooi, X.Xiao: Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. VLDB 2024.
  15. Q. Cai, K. Zheng, H.V. Jagadish, B.C. Ooi, J.W.L. Yip: CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics. VLDB 2024.
  16. N. Xing, S. Cai, G. Chen, Z. Luo, B.C. Ooi, J. Pei: Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. VLDB 2024.
  17. J. Zhu, S. Cai, F. Deng, B.C. Ooi, W. Zhang: METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. VLDB 2024.
  18. Z.H. Zhao, H. Pan, G. Chen, X. Du, W. Lu, B.C. Ooi: VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation. ACM SIGMOD 2024. (open access)
  19. Y. Jiang, X. Luo, Y. Wu, X. Xiao, B.C. Ooi: Protecting Label Distribution in Cross-Silo Federated Learning. IEEE S&P 2024.
  20. Y. Zhu, Y. Wu, Z. Low, B. C. Ooi, X. Xiao: Robust and Secure Federated Learning with Low-Cost Zero-Knowledge Proof. 2023.
  21. K. Ren, N.-M. Ho, D. Loghin, T.-T. Nguyen, B.C. Ooi, Q.-T. Ta, F. Zhu: Interoperability in Blockchain: A Survey. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023.
  22. L.C. Chiaw et al: Application of Artificial Intelligence in the Assessment of Thyroid Eye Disease (TED) -A Scoping Review. Frontiers in Endocrinology. 2023. (medical)
  23. J. Hallinan et al: Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT. Frontiers in Oncology. 2023. (medical)
  24. J. Hallinan et al: A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT. European Spine Journal. 2023. (medical)
  25. F. Xiao, Y. Wu, M. Zhang, G. Chen, B.C. Ooi: MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. VLDB 2023.
  26. Y. Wu, N. Xing, G. Chen, A. Dinh, Z. Luo, B.C. Ooi, X. Xiao, M. Zhang: Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. VLDB 2023.
  27. H. Gao, C. Yue, A. Dinh, Z. Huang, B.C. Ooi: Enabling Secure and Efficient Data Analytics Pipeline Evolution with Trusted Execution Environment. VLDB 2023.
  28. C. Yue, M. Zhang, C. Zhu, G. Chen, D. Loghin, B.C. Ooi: VeriBench: Analyzing the Performance of Database Systems with Verifiability. VLDB 2023.
  29. C. Yue, TTA. Dinh, Z. Xie, M. Zhang, G. Chen, B.C. Ooi, X. Xiao: GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. VLDB 2023.
  30. P. Jia, S. Cai, B. C. Ooi, P. Wang, Y. Xiong: Robust and Transferable Log-based Anomaly Detection. ACM SIGMOD 2023.
  31. X. Yang, et al: VeDB: A Software and Hardware Enabled Trusted Relational Database. ACM SIGMOD 2023.
  32. Y. Wang, Y. Wu, X. Chen, G. Feng, B. C. Ooi: Incentive-Aware Decentralized Data Collaboration. ACM SIGMOD 2023.
  33. Z. Luo, S. Cai, Y. Wang, B. C. Ooi: Regularized Pairwise Relationship based Analytics for Structured Data. ACM SIGMOD 2023.
  34. Z. Lv, W. Zhang, S. Zhang, K. Kuang, F. Wang, Y. Wang, Z. Chen, T. Shen, H. Yang, B. C. Ooi, and F. Wu: DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. The Web Conference 2023.
  35. B. C. Ooi, G. Chen, M. Z. Shou, K.-L. Tan, A. Tung, X. Xiao, J. W. L. Yip, B.Zhang, M. Zhang: The Metaverse Data Deluge: What Can We Do About It?. IEEE ICDE. 2023.
  36. K. Zheng et al: A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset. 2023.
  37. K. Zheng, Tnguyen, C. Liu, C.E. Goh, B. C. Ooi: eDental: Managing Your Dental Care in Diet Diaries. ACM CIKM 2022. (demo)
  38. D. S. W. Lim et al: Improved Productivity Using Deep Learning Assisted Reporting for MRI Lumbar Spine. RSNA Radiology 2022. (medical)
  39. W. Ong, et al: Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis. Cancer, 14(16), 2022. (medical)
  40. J. Hallinan et al: Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI. Frontiers in Oncology. 2022. (medical)
  41. W. Zhang, L. Zhu, J. Hallinan, S. Zhang, A. Makmur, Q. Cai and B. C. Ooi: BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation. CVPR 2022.
  42. Y. Shu, S Cai, Z Dai, BC Ooi, B.K.H Low: NASI: Label-and Data-agnostic Neural Architecture Search at Initialization. ICLR 2022.
  43. P. Ruan, Y. Kanza, B. C. Ooi, D. Srivastava: LedgerView: Access-Control Views on Hyperledger Fabric. ACM SIGMOD 2022.
  44. Y. Wu, A. Dinh, G. Hu, M. Zhang, Y.M. Chee, B. C. Ooi: Serverless Data Science - Are We There Yet? A Case Study of Model Serving. ACM SIGMOD 2022.
  45. K. Zheng, S. Cai, H.-R. Chia, M. Hershel, M. Zhang, B. C. Ooi: DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. VLDB 2022.
  46. Z. Ge, D. Loghin, B.C. Ooi, P. Ruan, T. Wang: Hybrid Blockchain Database Systems: Design and Performance. VLDB 2022.
  47. X. Luo, X. Xiao, Y. Wu, J. Liu, B. C. Ooi: Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI 2022.
  48. Q. Cai, K. Zheng, B. C. Ooi, W. Wang, C. Yao: ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics. IEEE International Conference on Data Engineering (ICDE). 2022.
  49. H. R. Chua et al: Healthcare Analytics with Time-invariant and Time-variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study. JMIR. 2021. (medical)
  50. N. Xing et al: SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. ACM Multimedia 2021. (code to be released as part of Apache SINGA v 4.0; v3.2.0 is being released)
  51. L. Zhu, L. L. Chan, T. K. Ng, K. Yang, M. Zhang, B. C. Ooi: Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2021.
  52. J. Halinan et al: Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI. RSNA Radiology 2021. (medical)
  53. S. Cai, K. Zheng, G. Chen, H.V. Jagadish, B.C. Ooi, M. Zhang: ARM-Net: Adaptive Relation Modeling Network for Structured Data. ACM SIGMOD 2021.
  54. K. Zheng, G. Chen, M Herschel, K.Y. Ngiam, B. C. Ooi, J. Gao: PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. ACM SIGMOD 2021.
  55. C. Cui, W. Wang, M. Zhang, G. Chen, Z. Luo, B. C. Ooi: AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. ACM SIGMOD 2021. (patent filed)
  56. P. Ruan, A. Dinh, D. Loghin, M. Zhang, G. Chen, Q. Lin, B.C. Ooi: Blockchains vs. Distributed Databases: Dichotomy and Fusion. ACM SIGMOD 2021.
  57. K. Yang, Z. Luo, J. Guo, J. Zhao, B.C. Ooi, B. Xie: LDA-Reg: Knowledge Driven Regularizationusing External Corpora. IEEE TKDE. 2021.
  58. X. Luo, Y. Wu, X. Xiao, B.C. Ooi: Feature Inference Attack on Model Predictions in Vertical Federated Learning. IEEE International Conference on Data Engineering (ICDE). 2021.
  59. Z. Luo, S.H. Yeung, M. Zhang, K. Zheng, L. Zhu, G. Chen, F. Fan, Q. Lin, K.Y. Ngiam, B.C. Ooi: MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. IEEE International Conference on Data Engineering (ICDE). 2021.
  60. P. Zhou, Q. Lin, D. Loghin, B. C. Ooi, Y. Wu, H. Yu: Communication-efficient Decentralized Machine Learning over Heterogeneous Networks IEEE International Conference on Data Engineering (ICDE). 2021.
  61. Z. Luo, S. Cai, C. Cui, B. C. Ooi, Y. Yang: Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI 2021.
  62. Y. Wu, A. Dinh, G. Hu, M. Zhang, Y.M. Chee, B.C. Ooi: Serverless Model Serving for Data Science. March 2021.
  63. Y. Wu, S. Cai, X. Xiao, G. Chen, B.C. Ooi: Privacy Preserving Vertical Federated Learning for Tree-based Models. VLDB 2020.
  64. P. Ruan, A. Dinh, Q. Lin, M. Zhang, G. Chen, B. C. Ooi: Revealing Every Story of Data in Blockchain Systems. ACM SIGMOD Highlight Award paper. 2020.
  65. C. Yue. Z. Xue, M. Zhang, G. Chen, B. C. Ooi, S. Wang, X. Xiao: Analysis of Indexing Structures for Immutable Data. ACM SIGMOD 2020.
  66. K. Zheng, S. Cai, H. R. Chua, W. Wang, K. Y. Ngiam, B.C. Ooi: TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. ACM SIGMOD 2020.
  67. P. Ruan, D. Loghin, Q.-T. Ta, M Zhang, G. Chen, B. C. Ooi: A Transactional Perspective on Execute-Order-Validate Blockchains. ACM SIGMOD 2020.
  68. Z. Xie, H. Ying, C. Yue, M. Zhang, G. Chen, B. C. Ooi: Cool: a COhort OnLine analytical processing system. IEEE International Conference on Data Engineering. 2020.
  69. Q. Lin et al. ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. IEEE International Conference on Data Engineering. 2020. demo.
  70. D. Loghin, S. Cai, G. Chen, T. T. A. Dinh, F. Fan, Q. Lin, J. Ng, B. C. Ooi, X. Sun, Q.-T. Ta, W. Wang, X. Xiao, Y. Yang, M. Zhang, Z. Zhang: The Disruptions of 5G on Data-driven Technologies and Applications. IEEE Transactions on Knowledge and Data Engineering, 32(6), 1979-1998 June 2020. (open access).
  71. W. Wang, M. Zhang, G. Chen, H. V. Jagadish, B. C. Ooi and K.-L. Tan: Database Meets Deep Learning: Challenges and Opportunities. Updated -- 2019.
  72. A. Dinh, A. Datta, B. C. Ooi: A Blueprint For Interoperable Blockhains. 2019.
  73. P. Ruan, G. Chen, A. Dinh, Q. Lin, D. Loghin, B. C. Ooi, M. Zhang: Blockchains and Distributed Databases: a Twin Study. 2019.
  74. B. C. Ooi, G. Chen, D. Loghin, W. Wang, M. Zhang: 5G: Agent for Further Digital Disruptive Transformations. IEEE Bulletin of the Technical Committee on Data Engineering, 43(3), 9-12, September 2019.
  75. D. Loghin, G. Chen, A. Dinh, B. C. Ooi, Y. M. Teo: Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes. 2019.
  76. P. Ruan, G. Chen, A. Dinh, Q. Lin, B.C. Ooi, M. Zhang: FineGrained, Secure and Efficient Data Provenance on Blockchain Systems. VLDB 2019.
  77. S. Cai, J. Gao, M. Zhang, W. Wang, G. Chen, B. C. Ooi: Effective and Efficient Dropout for Deep Convolutional Neural Networks. 2019.
  78. S. Cai, G. Chen, B.C. Ooi, J. Gao: Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. VLDB 2020.
  79. H. Dang, A. Dinh, D. Lohgin, E.-C. Chang, Q. Lin, B.C. Ooi: Towards Scaling Blockchain Systems via Sharding. ACM SIGMOD 2019.
  80. A. Dinh, et al: Scale or Perish? Payment Channel, State Channel, Plasma .... 2018.
  81. J. Gao, W. Wang, M. Zhang, G. Chen, H.V. Jagadish, G. Li, T.K. Ng, B.C. Ooi, S. Wang, J. Zhou: PANDA: Facilitating Usable AI Development. 2018.
  82. H. Zhou, M. Chen, Q. Lin, Y. Wang, X. She, S. Liu, R. Gu, B.C. Ooi, J. Yang: Overload Control for Scaling WeChat Microservices. Symposium of Cloud Computing (SoCC '18). 2018.
  83. W. Wang, J. Gao, S. Wang, M. Zhang, G. Chen, T.K. Ng, B.C. Ooi, J. Shao: Rafiki: Machine Learning as an Analytics Service System. VLDB 2019.
  84. H. Dang, A. Dinh, E.-C. Chang, B. C. Ooi: Chain of Trust: Can Trusted Hardware Help Scaling Blockchains? arXiv, 2 April 2018.
  85. Q. Cai, W. Guo, H. Zhang, D. Agrawal, G. Chen B. C. Ooi, K.-L. Tan, Y. M. Teo, S. Wang: Efficient Distributed Memory Management with RDMA and Caching. VLDB 2018.
  86. X. Cai, J. Gao, K. Y. Ngiam, B. C. Ooi, Y. Zhang, and X. Yuan. Medical concept embedding with time- aware attention. IJCAI 2018.
  87. J. Gao, B. C. Ooi, Y. Shen, and W.-C. Lee. Cuckoo feature hashing: Dynamic weight sharing for sparse analytics. IJCAI 2018.
  88. J. Dai, M. Zhang, G. Chen, J. Fan, K.Y. Ngiam, B.C. Ooi: Fine-grained Concept Linking using Neural Networks in Healthcare. ACM SIGMOD 2018.
  89. Z. Xie, Q. Cai, F. He, G.Y. Ooi, W. Huang, B.C. Ooi: Cohort Analysis with Ease. ACM SIGMOD 2018. Demo.
  90. Q. Cai, Z. Xie, M. Zhang, G. Chen, H.V. Jagadish, B.C. Ooi: Effective Temporal Dependence Discovery in Time Series Data. VLDB 2018.
  91. S. Wang, T. T. A . Dinh, Q. Lin, Z. Xie, M. Zhang, Q. Cai, G. Chen, B.C. Ooi, P. Ruan: ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications. VLDB 2018.
  92. G. Li, M. Zhang, G. Chen, and B.C. Ooi: Towards A Unified Graph Model for Supporting Data Management and Usable Machine Learning. IEEE Data Engineering. 2017.
  93. A. Dinh, R. Liu, M. Zhang, G. Chen, B.C. Ooi, J. Wang: Untangling Blockchain: A Data Processing View of Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering. July 2018.
  94. K. Zheng, W. Wang, J. Gao, K.Y. Ngiam, B.C. Ooi and W.L.J. Yip: Capturing Feature-Level Irregularity in Disease Progression Modeling. CIKM 2017.
  95. Z. Xie, Q. Cai, H.V. Jagadish, B.C. Ooi, W.-F. Wong: Parallelizing skip lists for in-memory multi-core database systems. IEEE International Conference on Data Engineering (ICDE), 2017.
  96. K. Zheng, J. Gao, K. Y. Ngiam, B. C. Ooi and W.L.J. Yip: Resolving the Bias in Electronic Medical Records. ACM KDD. 2017.
  97. A. Dinh, J. Wang, G. Chen, R. Liu, B. C. Ooi, K.-L. Tan: BLOCKBENCH: A Framework for Analysing Private Blockchains. ACM SIGMOD 2017.
  98. 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: UStore: A distributed storage with rich semantics. arXiv:1702.02799, 10 February 2017.
  99. C. Lee, Z. Luo, K.Y. Ngiam, M. Zhang, K. Zheng, G. Chen, B.C. Ooi and W.L.J. Yip. Big Healthcare Data Analytics: Challenges and Applications. Handbook of Large-Scale Distributed Computing in Smart Healthcare, Springer-Verlag. 2016.
  100. X. Shi et al: UniAD: A Unified Ad-hoc Data Processing System. ACM Transactions on Database Systems 2016.
  101. D. Jiang, Q. Cai, G. Chen, H. Jagadish, B. C. Ooi, K. L. Tan, A. Tung: Cohort Query Processing. Int'l Conference on Very Large Data Bases (VLDB). 2017.
  102. S. Wang, D. Maier, B. C. Ooi. Fast and Adaptive Indexing of Multi-Dimensional Observational Data. Int'l Conference on Very Large Data Bases (VLDB). 2017.
  103. W. Wang et al: Deep Learning at Scale and At Ease ACM Transactions on Multimedia Computing Communications and Applications(TOMM) - Special Section on Best Papers of ACM Multimedia 2015, Volume 12 Issue 4s, November 2016.
  104. W. Wang, M. Zhang, G. Chen, H.V. Jagadish, B. C. Ooi, K.L. Tan: Database Meets Deep Learning: Challenges and Opportunities. ACM SIGMOD Record. 2016.
  105. Q. Lin, P. Chang, G. Chen, B.C. Ooi, K.L. Tan, Z. Wang: Towards a Non-2PC Transaction Management in Distributed Database Systems. ACM Conference on Management of Data (SIGMOD). 2016.
  106. C. Yao, D. Agrawal, G. Chen, B. C. Ooi, S. Wu: Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases. ACM Conference on Management of Data (SIGMOD). 2016.
  107. C. Yao, D. Agrawal, G. Chen, Q. Lin, B.C. Ooi, W.F. Wong, M. Zhang: Exploiting Single-Threaded Model in Multi-Core In-Memory Systems. IEEE Transactions on Knowledge and Data Engineering. 2016.
  108. 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, K. Zheng: SINGA: A Distributed Deep Learning Platform. ACM Multimedia (Open Source Software Competition). 2015.
  109. W. Wang, G. Chen, T. T. A. Dinh, J. Gao, B. C. Ooi, K.-L.Tan, S. Wang. SINGA: Putting Deep Learning in the Hands of Multimedia Users. ACM Multimedia 2015.
  110. W. Wang, X. Yang, B. C. Ooi, D. Zhang, Y. Zhuang: Effective Deep Learning Based Multi-Modal Retrieval. VLDB Journal - Special issue of VLDB'14 best papers. 2015.
  111. D. Jiang, S. Wu, G. Chen, B.C. Ooi, K.-L. Tan, J. Xu: epiC: epiC: an extensible and scalable system for processing Big Data. VLDB Journal- Special issue of VLDB'14 best papers. 2015.
  112. K.-L. Tan, Q. Cai, B. C. Ooi, W.F. Wong, C. Yao, H. Zhang: In-memory Databases – Challenges and Opportunities -- From Software and Hardware Perspective. ACM SIGMOD Record, Special Issue on Visionary Ideas in Data Management. June 2015.
  113. A. Dinh, P. Saxena, C.-E. Chang, B. C. Ooi, C. Zhang: M2R: Enabling Stronger Privacy in MapReduce Computation. 24th USENIX Security Symposium. 2015.
  114. J. Gao, H.V. Jagadish, B.C. Ooi, S. Wang: Selective Hashing: Closing the Gap between Radius Search and k-NN Search. ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015.
  115. X. Cao, G. Cong, T. Guo, C.S. Jensen, B. C. Ooi: Efficient Processing of Spatial Group Keyword Queries. ACM Transactions on Data Base Systems. 2015.
  116. Q. Lin, B. C. Ooi, Z. Wang, C. Yu: Scalable Distributed Stream Join Processing. ACM Conference on Management of Data (SIGMOD). 2015.
  117. J. Fan, G. Li, B. C. Ooi, K.-L. Tan, J. Feng: iCrowd: An Adaptive Crowdsourcing Framework. ACM Conference on Management of Data (SIGMOD). 2015.
  118. J. Fan, M. Zhang, S. Kok, M. Lu, B.C. Ooi: CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE Transactions on Knowledge and Data Engineering. 2015.
  119. H. Zhang, G. Chen, B. C. Ooi, K. L. Tan, M. Zhang: In-Memory Big Data Management and Processing: A Survey. IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 7, 1920-1948, July 2015.
  120. D. Loghin, B. Tudor, H. Zhang, B. C. Ooi, Y. M. Teo: A Performance Study of Big Data on Small Nodes. Int'l Conference on Very Large Data Bases (VLDB). 2015.
  121. Y. Shen, G. Chen, H. Jagadish, W. Lu, B.C. Ooi, B. Tudor: Fast Failure Recovery in Distributed Graph Processing Systems. Int'l Conference on Very Large Data Bases (VLDB). 2015.
  122. P. Lu, G. Chen, B.C. Ooi, H.T. Vo, S. Wu: ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems. Int'l Conference on Very Large Data Bases (VLDB). 2015.
  123. H. Zhang, G. Chen, B. C. Ooi, W.-F. Wong, S. Wu, Y. Xia: "Anti-Caching"-based Elastic Memory Management for Big Data. 31st IEEE International Conference on Data Engineering (ICDE) 2015.
  124. B. C. Ooi, K.-L. Tan, Q.T. Tran, J.W.L. Yip, G. Chen, Z.J. Ling, T. Nguyen, A.K.H. Tung, M. Zhang: Contextual Crowd Intelligence. SIGKDD Exploration. 2014.
  125. D. Jiang, G. Chen, B.C. Ooi, K.L. Tan, S. Wu: epiC: an Extensible and Scalable System for Processing Big Data. Int'l Conference on Very Large Data Bases (VLDB). 2014. (Best Paper Award)
  126. S. Wang, D. Maier, B. C. Ooi: Lightweight Indexing of Observational Data in Log Structured Storage. Int'l Conference on Very Large Data Bases (VLDB). 2014.
  127. W. Wang, B.C. Ooi, X. Yang, D. Zhang, Y. Zhuang: Effective MultiModal Retrieval based on Stacked AutoEncoders. Int'l Conference on Very Large Data Bases (VLDB). 2014.
  128. H. Zhang, B.M. Tudor, G. Chen, B.C. Ooi: Efficient In-memory Data Management: An Analysis. Int'l Conference on Very Large Data Bases (VLDB). 2014.
  129. X. Shi, B. Cui, G. Dobbie, B. C. Ooi: Towards Unified Ad-Hoc Data Processing. ACM Conference on Management of Data (SIGMOD). 2014.
  130. J. Gao, H.V. Jagadish, W. Lu, B.C. Ooi: DSH: Data Sensitive Hashing for High-dimensional KNN Search. ACM Conference on Management of Data (SIGMOD). 2014.
  131. G. Chen, H.V. Jagadish, D. Jiang, D. Maier, B.C. Ooi, K.L. Tan, W.C. Tan: Federation in Cloud Data Management: Challenges and Opportunities. IEEE Transactions on Knowledge and Data Engineering. 2014.
  132. F. Li, T. Ozsu, G. Chen, B.C. Ooi: R-Store: A Scalable Distributed System for Supporting Real-time Analytics. 30th IEEE International Conference on Data Engineering (ICDE) 2014.
  133. J. Fan, M. Lu, B.C. Ooi, W.C. Tan, M. Zhang: A Hybrid Machine-Crowdsourcing System for Matching Web Tables. 30th IEEE International Conference on Data Engineering (ICDE) 2014.
  134. F. Li, B. C. Ooi, T. Ozsu, S. Wu: Distributed Data Management Using MapReduce. ACM Computing Survey 46(3), January 2014.
  135. B. Cui, H. Mei, B.C. Ooi: Big Data: The Driver for Innovation in Databases. National Science Review, Oxford University Press. 2014.
  136. W. Lu, X. Du, M. Hadjieleftheriou, B. C. Ooi: Efficiently Supporting Edit Distance based String Similarity Search Using B+-trees. IEEE Transactions on Knowledge and Data Engineering. 2014.

Monographs/Books

  1. Q. Vu, M. Lupu, B. C. Ooi: Peer-to-peer computing: Principles and Applications. Springer-Verlag, 2009.
  2. K. L. Tan and B. C. Ooi: Data Dissemination in Wireless Computing Environments. Monograph series, Kluwer Academics, 2000.
  3. E. Bertino, B. C. Ooi, R. Sacks-Davis, K.L. Tan, J. Zobel, B. Shidlovsky, B. Cantania: Indexing Techniques for Advanced Database Applications. Monograph series, Kluwer Academics, 1997.
  4. B. C. Ooi: Efficient Query Processing in Geographic Information Systems, Lecture Notes in Computer Science #471, Springer-Verlag, Berlin-Heidelberg-New York, 208p, 1990.

Editorial

  1. H. Lu, B. C. Ooi, K.L. Tan: Parallel Query Processing in Relational Database System, IEEE Computer Society, New-York, (1994).

Proceedings (editorial)

  1. SSD'93, FEGIS'93, DBISP2P'04, DASFAA'05, VLDB'05, ACM SIGMOD'07, VLDB'08, IEEE ICDE'12, IEEE BigData'15, IEEE ICDE'18, ACM SoCC'20.

Selected Talks

  1. B. C. Ooi: 数据价值创造：从0到1，再到无穷. CNCC 2024. Keynote.
  2. B. C. Ooi: 5 minute pitch on "Practical integration of AI and Data Systems" at Database Self Assessment Meeting, MIT, 2023.
  3. B.C. Ooi: Architecture of a Verifiable Database System for Supporting Digital Trust. IEEE ICDE 2022. Keynote.
  4. B. C. Ooi: What Can AI do for End-to-End Data Analytics? DASFAA 2021. Keynote.
  5. B. C. Ooi: 企业级区块链系统：从0到1，再到无穷. CNCC 2018. Keynote.
  6. B. C. Ooi: Healthcare Transformation from Data and System Perspectives. VLDB 2018. Keynote.
  7. B. C. Ooi: 端到端的数据处理，管理，和分析系统. CNCC 2016. Keynote.
  8. B. C. Ooi: 5 minute pitch at Beckman Database Self Assessment Meeting, UCI, 14-15, October, 2013.
  9. B. C. Ooi: Providing Scalable Database Services on the Cloud. WISE, December 2010. Keynote.
  10. B. C. Ooi: Supporting OLTP and OLAP queries on cloud platforms. OTM. October 2010. Keynote.
  11. B. C. Ooi: epiC: an Elastic, Power-aware, data-Intensive Cloud Platform. Forum on Cloud Data Management and its Applications, Shanghai, June 2010. Keynote.
  12. B. C. Ooi: 5 minute research pitch at Berkeley Database Self Assessment Meeting, Claremont,29-30 May 2008.
  13. B. C. Ooi: Storage and Index Design for Community Systems. DASFAA 2008. Keynote.
  14. B. C. Ooi: Can P2P become a disruptive technology to enterprise data processing? ADC 2008. Keynote.
  15. B. C. Ooi, S. Wu, L. Xu: P2P based data management. Informatics 2007. Kuala Lumpur. Keynote.
  16. Searching in P2P networks. IBM Data Management Potpourri Workshop, Toronto, August 30th 2004.
  17. Similarity search in p2p (structured and unstructured) networks. Summer Institute on Peer-to-peer Computing, Academia Sinica, Taipei, Taiwan. July 29 - August 4, 2004.
  18. B.C. Ooi, H. Shen, C. Xia: Towards Efficient Image Retrieval based on Multiple Features: Pacific-Rim Conference on Multimedia (PCM). 2003. Invited.
  19. B.C. Ooi, W.S. Ng, K.L. Tan, A. Zhou: Information Acquisition Through an Integrated Paradigm: P2P + Agent. Second International Workshop on Agents and Peer-to-Peer Computing (AP2PC 2003), Melbourne. July 2003. Invited.
  20. B. C. Ooi, C.Y. Liau, K.L.Tan: Managing Trust in Peer-to-Peer Systems Using Reputation-Based Techniques. International Conference on Web Age Information Management (WAIM'03). Chengdu, China. August 2003. Keynote.
  21. B. C. Ooi, Y. Shu, K.L. Tan: DB-enabled Peers for Managing Distributed Data. The Fifth Asia Pacific Web Conference (APWeb'03). Xian, China. September 2003. LNCS 2642, 10-21. Keynote.
  22. B. C. Ooi, K. L. Tan, H. Lu and A. Zhou P2P: Harnessing and Riding on Peers. Post-VLDB and 19th NDBC. 2002. Keynote.
  23. B. C. Ooi, K.L. Tan, and C. Yu: Fast update and efficient retrieval: an oxymoron for moving object indexes? Proceedings of International Web GIS Workshop, Singapore, IEEE Press, 2002. Keynote.
  24. B.C. Ooi and K.L. Tan: B-trees: Bearing all kinds of fruits. Australiasian Database Conference, January 2002. Invited.
  25. B. C. Ooi, T.S. Chua, J. Li: On-demand retrieval. IEICE Data Engineering Conference, Tokyo, 1996. Invited.