Beng Chin Ooi - Selected Publications#


Y. Shu, S Cai, Z Dai, BC Ooi, B.K.H Low: NASI: Label-and Data-agnostic Neural Architecture Search at Initialization. ICLR 2022.

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.

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.

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.

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. Web site on open source: http://13.212.103.48:3001

P. Ruan, G. Chen, A. Dinh, Q. Lin, B.C. Ooi, M. Zhang: FineGrained, Secure and Efficient Data Provenance on Blockchain Systems. VLDB 2019.
Web site on open source: https://github.com/ooibc88/FabricSharp
VLDB 2019 Best Paper Award
2020 ACM Research Highlight Award

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.
Apache Software Foundation web site for the system: https://singa.apache.org
Apache Top Level Project

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.

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.
Citations: ~800

A. Dinh, J. Wang, G. Chen, R. Liu, B. C. Ooi, K.-L. Tan: BLOCKBENCH: A Framework for Analysing Private Blockchains. ACM SIGMOD 2017.

Web site for the world first benchmarking tool: https://github.com/ooibc88/blockbench
Citations: 720

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