Da-Wei Zhou

62 total papers · 1.8k total citations
15 papers, 335 citations indexed

Da-Wei Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Da-Wei Zhou has authored 15 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Da-Wei Zhou’s work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Da-Wei Zhou is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Da-Wei Zhou collaborates with scholars based in China, Singapore and United States. Da-Wei Zhou's co-authors include De‐Chuan Zhan, Han-Jia Ye, Shiliang Pu, Liang Ma, Fuyun Wang, Yang Yang, Di Xie, Ziwei Liu, Zhihong Qi and Hui Xiong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Neural Networks and Learning Systems.