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职业迁徙
个人简介
She directs the research programs in Distributed Data Intensive Systems Lab (DiSL). Her current research interests are centered on data and intelligence powered computing, such as artifical intelligence, machine learning, knowledge discovery and data mining, big data systems and analytics. Concretely, she is interested in developing innovative and efficient learning algorithms and systems for multi-modality of data, as well as algorithms and optimizations for improving performance, availability, security, privacy, trust of data and intelligence powered computing systems and applications, such as cloud and edge computing, distributed computing, Internet of smart things, Mobile computing and location based services, wireless and sensor networked computing, peer to peer and blockchain computing. Prof. Liu has published over 300 international journal and conference articles with high citations at Google scholar. Her research group has produced a number of open source software systems, among which the most popular ones include WebCQ, XWRAPElite, PeerCrawl, GTMobSIM, SHAPE, NEAT, TripleBit (jointly with Prof. Pingpeng Yuan), MemFlex, MemPipe, XMemPod, AdaTrace, FUSE, Fed-CDP, LRBench, XEnsemble1.0, Data Poisoning in FL.
研究兴趣
论文共 130 篇作者统计合作学者相似作者
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CoRR (2023)
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IEEE Transactions on Parallel and Distributed Systemsno. 7 (2023): 2040-2054
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IEEE Transactions on Services Computingno. 5 (2023): 3723-3735
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user-61447a76e55422cecdaf7d19(2023)
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.127-130, (2023)
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IEEE Access (2023): 121603-121616
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IEEE Transactions on Services Computingno. 3 (2022): 1-15
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