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My primary research efforts have been devoted to developing new techniques in DBMS “engine research.” I has developed an object-relational DBMS supporting multiple language bindings. I has also developed the tight coupling technology of DBMS with IR features during my Ph.D. study. At the IBM Almaden Research Center, I has developed progressive query optimization in the parallel DB2 as a postdoc, which was adopted as adaptive query optimization by distributed DBMSs, including Spark. I also invented the new concept of “parallelizing query optimization” for faster query compilation by exploiting multi-core architecture. Our group recently developed three systems called TurboGraph++ (SIGMOD2018), iTurboGraph (SIGMOD2021) and TurboFlux (SIGMOD2018) for trillion-scale, incremental graph analytics. I regularly serve as a PC member for SIGMOD, VLDB, and ICDE. I also serve/served as an associate editor of several international journals including the VLDB Journal, IEEE TKDE, and SIGMOD Record.
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CVPR 2023 (2023): 11808-11817
Proc. ACM Manag. Datano. 2 (2023): 134:1-134:26
CoRR (2023): 113-125
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PROCEEDINGS OF THE 42ND ACM SIGMOD-SIGACT-SIGAI SYMPOSIUM ON PRINCIPLES OF DATABASE SYSTEMS, PODS 2023pp.113-125, (2023)
Data Science and Engineeringno. 3 (2023): 221-222
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arxiv(2023)
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