基本信息
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职业迁徙
个人简介
My goal is to build practical machine learning systems that promote fairness and equity. I am particularly interested in developing algorithms and open-source softwares for unbiased, efficient, and robust learning from skewed data in real-world applications. My recent interest lies in topics related to graph data mining, especially, learning from real-world graphs with skewed data distribution.
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 Conference on Fairness, Accountability and Transparencypp.1788-1808, (2024)
International immunopharmacology (2024): 111779-111779
arXiv (Cornell University) (2024)
WWW 2024 (2024)
KDD 2024pp.2014-2025, (2024)
THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 14pp.16067-16075, (2024)
PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023pp.211-222, (2023)
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作者统计
#Papers: 70
#Citation: 555
H-Index: 13
G-Index: 22
Sociability: 5
Diversity: 3
Activity: 54
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