基本信息
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个人简介
Currently, our interests lie broadly in machine learning, pattern recognition, computer vision, and medical image analysis.
Specifically, we have been focusing on developing theories, models, and methods for semi-supervised learning, weakly-supervised learning, domain adaptation, and domain generalization. Our goal is to create efficient and effective solutions to these challenges. We have also been developing machine learning-based tools to help address data analysis problems in medical imaging and clinical data. We hope that these tools can contribute towards building real-world systems for use in clinical scenarios.
Specifically, we have been focusing on developing theories, models, and methods for semi-supervised learning, weakly-supervised learning, domain adaptation, and domain generalization. Our goal is to create efficient and effective solutions to these challenges. We have also been developing machine learning-based tools to help address data analysis problems in medical imaging and clinical data. We hope that these tools can contribute towards building real-world systems for use in clinical scenarios.
研究兴趣
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ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONSno. 3 (2024): 65:1-65:23
PATTERN RECOGNITION (2024): 110029-110029
IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-15
AAAI 2024no. 10 (2024): 11829-11837
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2024): 1627-1642
CVPR 2024 (2024)
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