基本信息
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职业迁徙
个人简介
Research Interests
My principal research interests lie in the development of efficient algorithms and statistical models for weakly labeled and semi-supervised learning problems. I work with core machine learning methodologies, including kernel methods, generative models, probabilistic and stochastic modeling, scalable optimization algorithms, and deep learning approaches. I am also interested in developing automatic machine learning methods, as well as optimization-based models to address interdisciplinary problems. For instance, I have conducted research on the multiple criteria decision making in credit scoring and network intrusion detection. In addition, numerous artificial intelligence fields, such as reinforcement learning and probabilistic graphical models, are also favored in my study.
My principal research interests lie in the development of efficient algorithms and statistical models for weakly labeled and semi-supervised learning problems. I work with core machine learning methodologies, including kernel methods, generative models, probabilistic and stochastic modeling, scalable optimization algorithms, and deep learning approaches. I am also interested in developing automatic machine learning methods, as well as optimization-based models to address interdisciplinary problems. For instance, I have conducted research on the multiple criteria decision making in credit scoring and network intrusion detection. In addition, numerous artificial intelligence fields, such as reinforcement learning and probabilistic graphical models, are also favored in my study.
研究兴趣
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Pattern Recognition (2024): 110377
JOURNAL OF RISK FINANCEno. 1 (2024): 64-79
Science Advancesno. 1 (2023)
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Neurocomputing (2023): 282-295
IEEE Transactions on Signal Processing (2023): 859-872
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