基本信息
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职业迁徙
个人简介
The main focus of my research is on designing machine learning algorithms that have theoretical performance guarantees and social consciousness. I am particularly interested in combining the aspect of gaining machine learning knowledge with an orientation towards making machine learning usable and useful for high-stakes decision-making, such as healthcare, business, climate, policy, and law. To this end, I have been exploring complex real-world data (e.g., EHR, MODIS, supply chain data), under multifarious contexts (e.g., censorship, imbalance, distribution shift), subject to different metrics (e.g., fairness, regime centroids, c-index), through joyful collaboration and team work with computational scientists and domain experts. Incidentally, my Erdős number is 3 (Me -> Alan Evans -> David Avis -> Erdős) as a result of the enjoyed interdisciplinary collaboration.
研究兴趣
论文共 75 篇作者统计合作学者相似作者
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arxiv(2024)
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arxiv(2024)
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CoRR (2024)
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AAAI 2024no. 20 (2024): 22685-22685
EXPERT SYSTEMS WITH APPLICATIONS (2024): 121125-121125
arxiv(2024)
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CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGYno. 2 (2023): 481-490
2023 IEEE International Conference on Big Data (BigData)pp.1410-1418, (2023)
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D-Core
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