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个人简介
Yinglong Xia is a research scientist at Facebook AML, working various AI platform techniques and its applications, especially those focus on graph-based data processing and learning. He was a chief architect at Futurewei Technologies (a.k.a. Huawei Research America), leading a global team working on AI platform and Graph Engine (GES, https://www.huaweicloud.com/en-us/product/ges.html) services, covering graph data management, graph analytics, and graph-based machine/deep learning. Prior to that, he was a technical leader and research staff member at IBM T.J. Watson Research Center, exploring graph database and reasoning frameworks, developing IBM System G (http://systemg.mybluemix.net/) from scratch, a graph system to support a behavioral anomaly detection project (e.g. ADAMS), and a social data monitoring project (e.g. SMISC), etc.
He has multi-disciplinary expertise, ranging from machine learning to big data, and high performance computing (HPC), due to his diverse education background. He has solid experience in both industrial research and product development, already published 60+ technical papers (https://dblp.org/pers/hd/x/Xia:Yinglong) and filed 30+ patents (https://patents.justia.com/inventor/yinglong-xia).
He has multi-disciplinary expertise, ranging from machine learning to big data, and high performance computing (HPC), due to his diverse education background. He has solid experience in both industrial research and product development, already published 60+ technical papers (https://dblp.org/pers/hd/x/Xia:Yinglong) and filed 30+ patents (https://patents.justia.com/inventor/yinglong-xia).
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2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)pp.942-951, (2014)
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