OOI Beng Chin

COM1-03-22

651 66465

www.comp.nus.edu.sg/~ooibc

Distinguished Visiting Professor

Ph.D. (Monash University, Australia, 1989)
B.Sc. (1st Class Honours, Monash University, Australia, 1985)

Beng Chin is currently a Qiushi Chair Professor at Zhejiang University, and is a Distinguished Visiting Professor at the School of Computing, National University of Singapore. He was the Lee Kong Chian Centennial Professor at the National University of Singapore (NUS) and served as the dean of the School of Computing from 2007 to 2013. He is a visiting Chair Professor at Peking University and a visiting Distinguished Professor at Tsinghua University. He was the lead PI of the Singapore Blockchain Innovation Programme (SBIP). He obtained his BSc (1st Class Honours) and PhD from Monash University, Australia, in 1985 and 1989 respectively. Beng Chin is a fellow of the ACM 2011, CCF 2024, IEEE 2009, Singapore National Academy of Science (SNAS) 2016, and Singapore Academy of Engineering (SAEng) 2023. He is a foreign member of Academia Europaea 2022 and the Chinese Academy of Sciences (CAS) 2023. Please visit https://ooibc88.github.io/en/ for more information.

RESEARCH AREAS

Database

Systems & Networking

Healthcare Informatics

Data Science & Business Analytics

RESEARCH INTERESTS

Database Systems
Distributed and Block Chain Systems
Machine Learning
Large Scale Analytics

RESEARCH PROJECTS

RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

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.
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
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.
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, 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.
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.
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, 2020.
P. Ruan, G. Chen, A. Dinh, Q. Lin, B.C. Ooi, M. Zhang:FineGrained, Secure and Efficient Data Provenance on Blockchain Systems.VLDB 2019. best paper
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.
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.
A. Dinh, J. Wang, G. Chen, R. Liu, B. C. Ooi, K.-L. Tan:BLOCKBENCH: A Framework for Analysing Private Blockchains.ACM SIGMOD 2017.
W. Wang, M. Zhang, G. Chen, H. V. Jagadish, B. C. Ooi and K.-L. Tan:Database Meets Deep Learning: Challenges and Opportunities.. ACM SIGMOD Record, 2016.
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
D. Jiang, G. Chen, B.C. Ooi, K.L. Tan, S. Wu:epiC: an Extensible and Scalable System for Processing Big Data. 2014. Int'l Conference on Very Large Data Bases VLDB, 2014. best paper