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个人简介
Beng Chin's research interests include database systems, distributed and blockchain systems and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness. He works closely with the industry (eg. NUHS, JurongHealth, SGH and Tan Tock Seng Hospital on healthcare analytics and prediabetes prevention), and exploits IT for efficiency in various application domains, including healthcare, finance and smart cities.
He is the initiator of Apache SINGA, an Apache top level project (TLP) -- the first Apache Software Foundation (ASF) distributed platform for deep learning. He and his team released the first blockchain benchmarking system, called Blockbench, and enhanced Hyperledger Fabric called FabricSharp. He has released numerous other open sources
He is the initiator of Apache SINGA, an Apache top level project (TLP) -- the first Apache Software Foundation (ASF) distributed platform for deep learning. He and his team released the first blockchain benchmarking system, called Blockbench, and enhanced Hyperledger Fabric called FabricSharp. He has released numerous other open sources
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IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-20
arxiv(2024)
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IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-17
arxiv(2023)
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Proc. ACM Manag. Datano. 4 (2023): 270:1-270:27
ECAI 2023pp.3140-3147, (2023)
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CoRR (2023)
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