Publications

Selected Publications

  • 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.

    Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu. 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)