基本信息
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职业迁徙
个人简介
I am an Assistant Professor in the Department of Computer Science at the College of William & Mary.
My research focuses on building algorithmic foundations for large-scale end-to-end machine learning solutions. Our research program consists of two thrusts:
1. Computational learning theory for graphs and time series: we design computationally tractable, statistically sound, and practically relevant learning algorithms for graphs and times series data.
2. Large-scale learning system design and delivery: we design algorithmic tools to power large-scale machine learning systems. Specifically, we design low-cost systems that can train on peta-scale data, and systems that can deliver high-throughput machine learning services.
My research focuses on building algorithmic foundations for large-scale end-to-end machine learning solutions. Our research program consists of two thrusts:
1. Computational learning theory for graphs and time series: we design computationally tractable, statistically sound, and practically relevant learning algorithms for graphs and times series data.
2. Large-scale learning system design and delivery: we design algorithmic tools to power large-scale machine learning systems. Specifically, we design low-cost systems that can train on peta-scale data, and systems that can deliver high-throughput machine learning services.
研究兴趣
论文共 68 篇作者统计合作学者相似作者
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ACM Transactions on Recommender Systems (2023)
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arxiv(2023)
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2023 IEEE International Conference on Data Mining (ICDM)pp.818-827, (2023)
WACVpp.3847-3857, (2023)
PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2023pp.313-323, (2023)
ACM Transactions on Recommender Systems (2022)
MSNpp.671-678, (2022)
Proceedings of the Second ACM International Conference on AI in Finance (2021)
2021 17TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING (MSN 2021) (2021): 446-453
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