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My research focuses on the development of trustworthy machine learning methods for e-commerce and financial applications, including time-series analysis, data mining, semi-/un-supervised learning, large language models and related applications such as recommender systems and financial quantitative trading. In my work, I use statistical analysis and deep learning methods, with an emphasis on data analysis using methods least influenced by spurious signals.
My research experience has equipped me with an in-depth understanding of how artificial intelligence can be used to solve complex, data-centric problems. The idea of applying these methodologies to the financial field and contributing to quantitative area is profoundly motivating.
My research focuses on the development of trustworthy machine learning methods for e-commerce and financial applications, including time-series analysis, data mining, semi-/un-supervised learning, large language models and related applications such as recommender systems and financial quantitative trading. In my work, I use statistical analysis and deep learning methods, with an emphasis on data analysis using methods least influenced by spurious signals.
My research experience has equipped me with an in-depth understanding of how artificial intelligence can be used to solve complex, data-centric problems. The idea of applying these methodologies to the financial field and contributing to quantitative area is profoundly motivating.
研究兴趣
论文共 13 篇作者统计合作学者相似作者
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Juyong Jiang,Peiyan Zhang,Yingtao Luo,Chaozhuo Li, Jae Boum Kim,Kai Zhang,Senzhang Wang,Xing Xie, Sunghun Kim
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023 (2023): 976-986
PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023 (2023): 601-611
arxiv(2023)
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CoRR (2023)
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