Hanrui Wu
About
Hanrui Wu has authored 35 papers that have received a total of 508 indexed citations.
This includes 30 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. The topics of these papers are Domain Adaptation and Few-Shot Learning (19 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Graph Neural Networks (10 papers). Hanrui Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (19 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Graph Neural Networks (10 papers) and collaborates with scholars based in China, Hong Kong and Singapore. Hanrui Wu's co-authors include Michael K. Ng, Yuguang Yan, Qingyao Wu, Jia Zhang and Jinyi Long and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications
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