Te-Lin Wu

19 total papers · 427 total citations
4 papers, 126 citations indexed

Te-Lin Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Te-Lin Wu has authored 4 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Te-Lin Wu’s work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Digital Imaging for Blood Diseases (1 paper). Te-Lin Wu is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Digital Imaging for Blood Diseases (1 paper). Te-Lin Wu collaborates with scholars based in United States and Hong Kong. Te-Lin Wu's co-authors include William Shen, Jitendra Malik, Bertram E. Shi, Amir Zamir, Silvio Savarese, Lin Sun, Lin Sun, Shikhar Singh, Nanyun Peng and Gully Burns and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), International Conference on Learning Representations and Proceedings of the AAAI Conference on Artificial Intelligence.