基本信息
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职业迁徙
个人简介
As a seasoned ML software/system architect, I have led/participated > 10 ML libraries initiatives, 10,000 GitHub stars (top 0.002%: ranked 900 out of 40M GitHub users), and >400,0000 total downloads. I specialize in outlier detection systems, with applications in large-scale fraud detection and intrusion detection.
I specialize in designing and building machine learning systems (MLSys), with realization and applications in outlier detection, healthcare, graph neural networks, and ensemble learning. My research focuses on the intersection of two fields:
machine learning systems that can speed/scale up and automate underlying algorithms
data mining algorithms like outlier detection (anomaly detection) and ensemble learning
I specialize in designing and building machine learning systems (MLSys), with realization and applications in outlier detection, healthcare, graph neural networks, and ensemble learning. My research focuses on the intersection of two fields:
machine learning systems that can speed/scale up and automate underlying algorithms
data mining algorithms like outlier detection (anomaly detection) and ensemble learning
研究兴趣
论文共 48 篇作者统计合作学者相似作者
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ACM COMPUTING SURVEYSno. 4 (2024): 105:1-105:39
AAAI 2024no. 20 (2024): 22687-22687
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGno. 12 (2023): 12181-12193
CoRR (2023)
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arXiv (Cornell University) (2023)
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SIGKDD Explor.no. 1 (2023): 19-35
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT I (2023): 254-269
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