Byron Choi

Dr. Choi obtained his Ph.D. and MSE degrees in Computer and Information Science from the University of Pennsylvania (UPenn) in 2006 and 2001, respectively. He received his BEng degree in Computer Engineering from the Hong Kong University of Science and Technology (HKUST). Dr. Choi was an Assistant Professor with Nanyang Technological University (NTU), 2005-2008. He was a research associate at the University of Edinburgh in 2005. He visited HKUST theoretical computer science group in 2003. His publications appear in IEEE TKDE, VLDBJ, ACM SIGMOD, PVLDB/VLDB, IEEE ICDE, WWW, CIKM, AAAI, and IJCAI before. Dr. Choi is awarded a distinguished program committee member from ACM SIGMOD 2021. Dr. Choi received the best reviewers award from ACM CIKM 2021. He received the distinguished reviewer award from PVLDB 2019. Dr. Choi is the recipient of the HKBU President's Award for Outstanding Performance in Individual Teaching 2022 and the HKBU President's Award for Outstanding Young Researcher 2016. Dr. Choi is the director of a Croucher Foundation Advanced Study Institute (ASI) titled "Frontiers in Big Data Graph Research" 2015. Dr. Choi serves as the ACM SIGMOD information co-director since September 2021.

Research Interests

• Visual graph query processing
• Time series analysis
• Database security
• View update and incremental maintenance

Companies

• Associate Head, Associate Professor, Programme Director of BSc in Computer Science Hong Kong Baptist University (2021)
• Assistant Professor Hong Kong Baptist University
• Assistant Professor Nanyang Technological University (2005 — 2008)

Selected Publications

• Y. Peng, B. Choi, T. Chan, J. Yang and J. Xu. "Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases." In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '23), 2023. (to appear).
• R. Zou, G. Li, B. Choi, S. S. Bhowmick, D. N-Y. Mah and G. L-H. Wong. "SVP-T: A Shape-level Variable-Position Transformer for Multivariate Time Series Classification." In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI '23), 2023. (to appear).
• G. Li, B. Choi, J. Xu, S. S. Bhowmick, K-P Chun and G. L-H. Wong. "Efficient Shapelet Discovery for Time Series Classification." IEEE Transactions on Knowledge and Data Engineering (TKDE) 34(3):1149-1163, 2022.
• G. Li, B. Choi, J.Xu, S. S. Bhowmick, K-P Chun and G. L-H. Wong. "ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification." In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI '21), pages 8375-8383, 2021.
• J. Jiang, B. Choi, S. S. Bhowmick and J. Xu. "A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs." IEEE Transactions on Knowledge and Data Engineering (TKDE) 33(6):2322-2336, 2021.
• P. Yi, B. Choi, S. S. Bhowmick and J. Xu. "AutoG: A Visual Query Autocompletion Framework for Graph Databases." The VLDB Journal (VLDBJ) 26(3):347-372, 2017.
• Z. Fan, B. Choi, Q. Chen, J. Xu, H. Hu and S. S. Bhowmick. "Structure-Preserving Subgraph Query Services." IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(8):2275-2290, 2015.
• D. Wu, B. Choi, J. Xu and C. S. Jensen. "Authentication of Moving Top-k Spatial Keyword Queries." IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(4):922-935, 2014
• Y. Peng, B. Choi, J. Xu, H. Hu, and S. S. Bhowmick. "Side-Effect Estimation: A Filtering Approach to the View Update Problem." IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(9):2307-2322, 2014.
• J. Deng, B. Choi, J. Xu, H. Hu, and S. S. Bhowmick. "Incremental Maintenance of the Minimum Bisimulation of Cyclic Graphs." IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(11):2536-2550, 2013.