Selected Publications

• 2024
• NeurDB: An AI-powered Autonomous Data System. Science China 2024

  B.C. Ooi, S. Cai, G. Chen, K-L. Tan, Y. Wu, X. Xiao, N. Xing, C. Yue, L. Zeng, M. Zhang, Z. Zhao.
• VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection

  F. Xiao, S. Cai, G. Chen, H.V. Jagadish, B.C. Ooi, M. Zhang. ACM KDD 2024.
• Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

  K. Zheng, H-R. Chua, M. Herchel, H.V. Jagadish, B.C. Ooi, J.W.L. Yip. ICML 2024.
• Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs

  Y. Zhu, Y. Wu, Z. Luo, B. C. Ooi, X. Xiao. VLDB 2024.
• CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics

  Q. Cai, K. Zheng, H.V. Jagadish, B.C. Ooi, J.W.L. Yip. VLDB 2024.
• Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems

  N. Xing, S. Cai, G. Chen, Z. Luo, B.C. Ooi, J. Pei. VLDB 2024.
• METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection

  J. Zhu, S. Cai, F. Deng, B.C. Ooi, W. Zhang. VLDB 2024.
• VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation

  Z. Zhao, H. Pan, G. Chen, X. Du, W. Lu, B.C. Ooi. ACM SIGMOD 2024.

• 2023
• A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset

  K. Zheng et al. 2023.
• The Metaverse Data Deluge: What Can We Do About It?

  B. C. Ooi, G. Chen, M. Z. Shou, K.-L. Tan, A. Tung, X. Xiao, J. W. L. Yip, B.Zhang, M. Zhang. IEEE ICDE, 2023.
• DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

  Z. Lv, W. Zhang, S. Zhang, K. Kuang, F. Wang, Y. Wang, Z. Chen, T. Shen, H. Yang, B. C. Ooi, and F. Wu. The Web Conference 2023.
• Regularized Pairwise Relationship based Analytics for Structured Data

  Z. Luo, S. Cai, Y. Wang, B. C. Ooi. ACM SIGMOD 2023.
• Incentive-Aware Decentralized Data Collaboration

  Y. Wang, Y. Wu, X. Chen, G. Feng, B. C. Ooi. ACM SIGMOD 2023.
• VeDB: A Software and Hardware Enabled Trusted Relational Database

  X. Yang, et al. ACM SIGMOD 2023.
• Robust and Transferable Log-based Anomaly Detection

  P. Jia, S. Cai, B. C. Ooi, P. Wang, Y. Xiong. ACM SIGMOD 2023.
• GlassDB: An Efficient Verifiable Ledger Database System Through Transparency

  C. Yue, TTA. Dinh, Z. Xie, M. Zhang, G. Chen, B.C. Ooi, X. Xiao. VLDB 2023.
• VeriBench: Analyzing the Performance of Database Systems with Verifiability

  C. Yue, M. Zhang, C. Zhu, G. Chen, D. Loghin, B.C. Ooi. VLDB 2023.
• Enabling Secure and Efficient Data Analytics Pipeline Evolution with Trusted Execution Environment

  H. Gao, C. Yue, A. Dinh, Z. Huang, B.C. Ooi. VLDB 2023.
• Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System

  Y. Wu, N. Xing, G. Chen, A. Dinh, Z. Luo, B.C. Ooi, X. Xiao, M. Zhang. VLDB 2023.
• MINT: Detecting Fraudulent Behaviors from Time-series Relational Data

  F. Xiao, Y. Wu, M. Zhang, G. Chen, B.C. Ooi. VLDB 2023.
• 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)
• Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT

  J. Hallinan et al. Frontiers in Oncology, 2023. (medical)
• Interoperability in Blockchain: A Survey

  K. Ren, N.-M. Ho, D. Loghin, T.-T. Nguyen, B.C. Ooi, Q.-T. Ta, F. Zhu. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023.

• 2022
• ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics

  Q. Cai, K. Zheng, B. C. Ooi, W. Wang, C. Yao. IEEE International Conference on Data Engineering (ICDE), 2022.
• A Fusion-Denoising Attack on InstaHide with Data Augmentation

  X. Luo, X. Xiao, Y. Wu, J. Liu, B. C. Ooi. AAAI, 2022.
• Hybrid Blockchain Database Systems: Design and Performance

  Ge, Z., Loghin, D., Ooi, B. C., Ruan, P., & Wang, T. VLDB, 2022.
• Serverless Data Science - Are We There Yet? A Case Study of Model Serving

  Wu, Y., Dinh, T. T. A., Hu, G., Zhang, M., Chee, Y. M., Ooi, B. C. ACM SIGMOD 2022.
• LedgerView: Access-Control Views on Hyperledger Fabric

  P. Ruan, Y. Kanza, B. C. Ooi, D. Srivastava. ACM SIGMOD 2022.
• NASI: Label-and Data-agnostic Neural Architecture Search at Initialization

  Shu, Y., Cai, S., Dai, Z., Ooi, B. C., & Low, B. K. H. ICLR, 2022.
• BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

  Zhang, W., Zhu, L., Hallinan, J., Makmur, A., Zhang, S., Cai, Q., & Ooi, B. C. CVPR, 2022.
• DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics

  Zhang, K., Cai, S., Chua, H. R., Herschel, M., Zhang, M., & Ooi, B. C. VLDB, 2022.
• Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI

  J. Hallinan et al. Frontiers in Oncology. 2022. (medical)
• Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis

  W. Ong, et al. Cancer, 14(16), 2022. (medical)
• Improved Productivity Using Deep Learning Assisted Reporting for MRI Lumbar Spine

  D. S. W. Lim et al. RSNA Radiology 2022. (medical)
• eDental: Managing Your Dental Care in Diet Diaries

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

• 2021
• Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study

  HR Chua, K Zheng, A Vathsala, KY Ngiam, HK Yap, L Lu, HY Tiong, A Mukhopadhyay, G MacLaren, SL Lim, K Akalya, BC Ooi. JMIR, 2021
• SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis

  N. Xing, S.H. Yeung, C. Cai, T.K. Ng, W. Wang, K. Yang, N. Yang, M. Zhang, G. Chen, B.C. Ooi. Proceedings of the 29th ACM InternationalConference on Multimedia, 2021
• Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal

  L. Zhu, Z. Luo, W. Wang, M. Zhang, G. Chen, K. Zheng. Proceedings of the 29th ACM InternationalConference on Multimedia, 2021
• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

  L. Zhu, K. Yang, M. Zhang, L.L. Chan, T.K. Ng and B.C. Ooi. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
• Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI

  J.T.P.D. Hallinan, L. Zhu, K. Yang, A. Makmur, D.A.R. Algazwi, Y.L Thian, S. Lau, Y.S. Choo, S.E. Eide, Q.V. Yap, Y.H. Chan, J.H. Tan, N. Kumar, B.C. Ooi, H. Yoshioka, S.T. Quek. Radiology Journal, 2021
• LineageChain: a fine-grained, secure and efficient data provenance system for blockchains

  P Ruan, TTA Dinh, Q Lin, M Zhang, G Chen, BC Ooi. VLDB Journal, 2021
• LDA-Reg: Knowledge Driven Regularizationusing External Corpora

  K. Yang, Z. Luo, J. Guo, J. Zhao, B.C. Ooi, B. Xie. IEEE Transactions on Knowledge and Data Engineering, 2021
• ARM-Net: Adaptive Relation Modeling Network for Structured Data

  S. Cai, K. Zheng, G. Chen, H.V. Jagadish, B.C. Ooi, M. Zhang. SIGMOD, 2021
• 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. SIGMOD, 2021
• AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment

  C. Cui, W. Wang, M. Zhang, G. Chen, Z. Luo, B. C. Ooi. SIGMOD, 2021
• Blockchains vs. Distributed Databases: Dichotomy and Fusion

  P. Ruan, T. T. A. Dinh, D. Loghin, M. Zhang, G. Chen, Q. Lin, B. C. Ooi. SIGMOD, 2021
• Adaptive Knowledge Driven Regularization for Deep Neural Networks

  Z. Luo, S. Cai, C. Cui, B. C. Ooi, Y. Yang. AAAI, 2021
• Communication-efficient Decentralized Machine Learning over Heterogeneous Networks.

  P. Zhou, Q. Lin, D. Loghin, B.C. Ooi, Y. Wu, H. Yu. ICDE, 2021
• 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. ICDE, 2021
• Feature Inference Attack on Model Predictions in Vertical Federated Learning

  X. Luo, Y. Wu, X. Xiao, B.C. Ooi. ICDE, 2021

• 2020
• Spitz: A Verifiable Database System

  M. Zhang, Z. Xie, C. Yue, Z Zhong. VLDB, 2020
• Privacy Preserving Vertical Federated Learning for Tree-based Models

  Y. Wu, S. Cai, X. Xiao, G. Chen, B.C. Ooi. VLDB, 2020.
• Revealing Every Story of Data in Blockchain Systems

  P. Ruan, A. Dinh, Q. Lin, M. Zhang, G. Chen, B. C. Ooi. ACM SIGMOD Highlight Award paper, 2020.
• Analysis of Indexing Structures for Immutable Data

  C. Yue. Z. Xue, M. Zhang, G. Chen, B. C. Ooi, S. Wang, X. Xiao. ACM SIGMOD 2020.
• 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.
• A Transactional Perspective on Execute-Order-Validate Blockchains

  P. Ruan, D. Loghin, Q.-T. ta, M Zhang, G. Chen, 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. IEEE International Conference on Data Engineering (ICDE), 2020.
• ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications

  Q. Lin, K. Yang, T. T. A. Dinh, Q. Cai, G. Chen, B. C. Ooi, P. Ruan, S. Wang, Z. Xie, M. Zhang, O. Vandans. IEEE International Conference on Data Engineering (ICDE), 2020.
• Understanding Architectures Learnt by Cell-based Neural Architecture Search

  Y. Shu, W. Wang, S. Cai. ICLR 2020.
• Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks

  Y. Li, X. Dong, W. Wang. ICLR 2020.
• Dynamic Malware Analysis with Feature Engineering and Feature Learning

  Z. Zhang, P. Qi, W. Wang, C Yao. AAAI 2020.
• One-Shot Image Classification by Learning to Restore Prototypes

  W. Xue, W. Wang. AAAI 2020.
• RTN: Reparameterized Ternary Network

  Y. Li, X. Dong, S. Zhang, H. Bai, Y. Chen, W. Wang. AAAI 2020.
• The Disruptions of 5G on Data-driven Technologies and Applications

  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. IEEE Transactions on Knowledge and Data Engineering, 2020
• Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints

  S. Cai, G. Chen, B.C. Ooi, J. Gao. VLDB 2020.

• 2019
• 5G: Agent for Further Digital Disruptive Transformations

  B. C. Ooi, G. Chen, D. Loghin, W. Wang, M. Zhang. IEEE Bulletin of the Technical Committee on Data Engineering, 43(3), 9-12, September 2019.
• Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems

  P. Ruan, G. Chen, A. Dinh, Q. Lin, B.C. Ooi, M. Zhang. ACM International Conference on Very Large Data Bases (VLDB), 2019
• Towards Scaling Blockchain Systems via Sharding

  H. Dang, A. Dinh, D. Lohgin, E.-C. Chang, Q. Lin, B.C. Ooi. ACM International Conference on Management of Data (SIGMOD), 2019.

• 2018
• Untangling Blockchain: A Data Processing View of Blockchain Systems

  A. Dinh, R. Liu, M. Zhang, G. Chen, B.C. Ooi, J. Wang. IEEE Transactions on Knowledge and Data Engineering, 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 and P. Ruan. ACM International Conference on Very Large Data Bases (VLDB), 2018
• Overload Control for Scaling WeChat Microservices

  H. Zhou, M. Chen, Q. Lin, Y. Wang, X. She, S. Liu, R. Gu, B.C. Ooi and J. Yang. ACM Symposium on Cloud Computing (SoCC), 2018
• Effective Temporal Dependence Discovery in Time Series Data

  Q. Cai, Z. Xie, M. Zhang, G. Chen, H.V. Jagadish and B.C. Ooi. ACM International Conference on Very Large Data Bases (VLDB), 2018
• Efficient Distributed Memory Management with RDMA and Caching

  Q. Cai, W. Guo, H. Zhang, D. Agrawal, G. Chen B. C. Ooi, K.-L. Tan, Y. M. Teo and S. Wang. ACM International Conference on Very Large Data Bases (VLDB), 2018
• Medical Concept Embedding with time-aware Attention

  X. Cai, J. Gao, K. Y. Ngiam, B. C. Ooi, Y. Zhang and X. Yuan. International Joint Conference on Artificial Intelligence (IJCAI), 2018
• Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics

  J. Gao, W.-C. Lee, Y. Shen and B. C. Ooi. International Joint Conference on Artificial Intelligence (IJCAI), 2018
• Chain of Trust: Can Trusted Hardware Help Scaling Blockchains?

  H. Dang, T. T. A. Dinh, E.-C. Chang and B. C. Ooi. CoRR, 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 International Conference on Management of Data (SIGMOD), 2018.
• Adaptive Lightweight Regularization Tool for Complex Analytics

  Z. Luo, S. Cai, J. Gao, M. Zhang, K.Y. Ngiam, G. Chen and W. Lee. IEEE International Conference on Data Engineering (ICDE), 2018.
• A Comprehensive Performance Evaluation of Modern in-Memory Indices

  Z. Xie, Q. Cai, G. Chen, R. Mao and M. Zhang. IEEE International Conference on Data Engineering (ICDE), 2018.
• On the Design of Adaptive and Speculative Concurrency Control in Distributed Databases

  Q. Lin, G. Chen and M. Zhang. IEEE International Conference on Data Engineering (ICDE), 2018.

• 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. ACM International Conference on Information and Knowledge Management, 2017.
• Resolving the Bias in Electronic Medical Records

  K. Zheng, J. Gao, K. Y. Ngiam, B. C. Ooi, and W.L.J. Yip. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2017.
• Cross-Domain Image Retrieval with Attention Modeling

  X. Ji, W. Wang, M. Zhang, and Y. Yang. ACM Multimedia, 2017.
• BLOCKBENCH: A Framework for Analyzing Private Blockchains

  T. T. A. Dinh, J. Wang, G. Chen, R. Liu, B. C. Ooi, and K.-L. Tan. ACM International Conference on Management of Data (SIGMOD), 2017.
• Fast and Adaptive Indexing of Multi-Dimensional Observational Data

  S. Wang, D. Maier, and B. C. Ooi. ACM International Conference on Very Large Data Bases (VLDB), 2017.
• 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.

• 2016
• Deep Learning at Scale and at Ease

  W. Wang, G. Chen, H. Chen, T. T. A. Dinh, J. Gao, B. C. Ooi, K.-L. Tan, S. Wang, and M. Zhang. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2016.
• Database Meets Deep Learning: Challenges and Opportunities

  W. Wang, M. Zhang, G. Chen, H. V. Jagadish, B. C. Ooi, and K.-L. Tan. ACM SIGMOD Record, June 2015.
• Exploiting Single-Threaded Model in Multi-Core In-memory Systems

  C. Yao, D. Agrawal, G. Chen, Q. Lin, B. C. Ooi, W.-F. Wong, and Z. Zhang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.
• Towards a Non-2PC Transaction Management in Distributed Database Systems

  Q. Lin, P. Chang, G. Chen, B. C. Ooi, K.-L. Tan, and Z. Wang. ACM International Conference on Management of Data (SIGMOD), 2016.
• Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases

  C. Yao, D. Agrawal, G. Chen, B. C. Ooi, and S. Wu. ACM International Conference on Management of Data (SIGMOD), 2016.
• Cohort Query Processing

  D. Jiang, Q. Cai, G. Chen, H. V. Jagadish, B. C. Ooi, K.-L. Tan, and A. K. H. Tung. ACM International Conference on Very Large Data Bases (VLDB), 2016.

• 2015
• 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, 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, S. Wang. ACM Multimedia, 2015.
• Effective Deep Learning Based Multi-Modal Retrieval

  W. Wang, X. Yang, B. C. Ooi, D. Zhang, Y. Zhuang. VLDB Journal - Special issue of VLDB'14 best papers, 2015.
• epiC: an extensible and scalable system for processing Big Data

  D. Jiang, S. Wu, G. Chen, B.C. Ooi, K.-L. Tan, J. Xu. VLDB Journal- Special issue of VLDB'14 best papers, 2015.
• In-memory Databases – Challenges and Opportunities -- From Software and Hardware Perspective

  K.-L. Tan, Q. Cai, B. C. Ooi, W.F. Wong, C. Yao, H. Zhang. ACM SIGMOD Record, Special Issue on Visionary Ideas in Data Management, June 2015.
• M2R: Enabling Stronger Privacy in MapReduce Computation

  A. Dinh, P. Saxena, C.-E. Chang, B. C. Ooi, C. Zhang. 24th USENIX Security Symposium, 2015.
• Selective Hashing: Closing the Gap between Radius Search and k-NN Search

  J. Gao, H.V. Jagadish, B.C. Ooi, S. Wang. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2015.
• Efficient Processing of Spatial Group Keyword Queries

  X. Cao, G. Cong, T. Guo, C.S. Jensen, B. C. Ooi. ACM Transactions on Data Base Systems, 2015.
• iCrowd: An Adaptive Crowdsourcing Framework

  Ju Fan, Guoliang Li, Beng Chin Ooi, Kian-lee Tan, Jianhua Feng. ACM Int'l. Conference on Management of Data (SIGMOD), 2015.
• Scalable Distributed Stream Join Processing

  Qian Lin, Beng Chin Ooi, Zhengkui Wang, Cui Yu. ACM Int'l. Conference on Management of Data (SIGMOD), 2015.
• CrowdOp: Query Optimization for Declarative Crowdsourcing Systems

  Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, and Beng Chin Ooi. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
• In-Memory Big Data Management and Processing: A Survey

  H. Zhang, G. Chen, B. C. Ooi, K. L. Tan, M. Zhang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
• A Performance Study of Big Data on Small Nodes

  D. Loghin, B. Tudor, H. Zhang, B. C. Ooi, Y. M. Teo. Int'l Conference on Very Large Data Bases (VLDB), 2015.
• Fast Failure Recovery in Distributed Graph Processing Systems

  Y. Shen, G. Chen, H. Jagadish, W. Lu, B.C. Ooi, B. Tudor: Int'l Conference on Very Large Data Bases (VLDB), 2015.
• ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems

  P. Lu, G. Chen, B.C. Ooi, H.T. Vo, S. Wu. Int'l Conference on Very Large Data Bases (VLDB), 2015.
• "Anti-Caching"-based Elastic Memory Management for Big Data

  H. Zhang, G. Chen, B.C. Ooi, W.-F. Wong, S. Wu, Y. Xia. 31st IEEE International Conference on Data Engineering (ICDE), 2015.

• 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, M. Zhang. SIGKDD Explorations (2014), vol. 16(1), pp. 39–46.
• Efficient In-memory Data Management: An Analysis

  H. Zhang, B.M. Tudor, G. Chen, B.C. Ooi. PVLDB (2014), 7(10), pp. 833–836.
• Effective Multi-Modal Retrieval based on Stacked Auto-Encoders

  Wei Wang and Beng Chin Ooi and Xiaoyan Yang and Dongxiang Zhang and Yueting Zhuang (2014). PVLDB, 7(8), pp. 649–660.
• epiC: an Extensible and Scalable System for Processing Big Data

  Dawei Jiang and Gang Chen and Beng Chin Ooi and Kian-Lee Tan and Sai Wu (2014).PVLDB, 7(7), pp. 541–552.
• Lightweight Indexing of Observational Data in Log-Structured Storage

  Sheng Wang and David Maier and Beng Chin Ooi (2014).PVLDB, 7(7), pp. 529–540.
• Distributed data management using MapReduce

  Feng Li and Beng Chin Ooi and M. Tamer "Ozsu and Sai Wu (2014). ACM Comput. Surv., 46(3), pp. 31.
• Towards unified ad-hoc data processing

  Xiaogang Shi and Bin Cui and Gillian Dobbie and Beng Chin Ooi (2014). In International Conference on Management of Data,SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 1263–1274.
• DSH: data sensitive hashing for high-dimensional k-nnsearch

  Jinyang Gao and Hosagrahar Visvesvaraya Jagadish and Wei Lu and Beng Chin Ooi (2014). In International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 1127–1138.
• A hybrid machine-crowdsourcing system for matching web tables

  Ju Fan and Meiyu Lu and Beng Chin Ooi and Wang-Chiew Tan and Meihui Zhang (2014). In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014, pp. 976–987.
• R-Store: A scalable distributed system for supporting real-time analytics

  Feng Li and M. Tamer "Ozsu and Gang Chen and Beng Chin Ooi (2014). In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014, pp. 40–51.

• 2013
• Database research at the National University of Singapore

  Stéphane Bressan and Chee Yong Chan and Wynne Hsu and Mong-Li Lee and Tok Wang Ling and Beng Chin Ooi and Kian-Lee Tan and Anthony K. H. Tung (2013). SIGMOD Record, 42(2), pp. 46–51.
• An online cost sensitive decision-making method in crowdsourcing systems

  Jinyang Gao and Xuan Liu and Beng Chin Ooi and Haixun Wang and Gang Chen (2013). In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013, pp. 217–228.
• Online Aggregation

  Sai Wu and Beng Chin Ooi and Kian-Lee Tan (2013)