Xiaodan Liang

137 papers and 3.3k indexed citations .

Xiaodan Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Xiaodan Liang has authored 137 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Computer Vision and Pattern Recognition, 81 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Xiaodan Liang’s work include Multimodal Machine Learning Applications (47 papers), Domain Adaptation and Few-Shot Learning (43 papers) and Advanced Neural Network Applications (42 papers). Xiaodan Liang is often cited by papers focused on Multimodal Machine Learning Applications (47 papers), Domain Adaptation and Few-Shot Learning (43 papers) and Advanced Neural Network Applications (42 papers). Xiaodan Liang collaborates with scholars based in China, United States and Sweden. Xiaodan Liang's co-authors include Shuicheng Yan, Jiashi Feng, Liang Lin, Xiaohui Shen, Jianan Li, Eric P. Xing, Yunchao Wei, Tingfa Xu, Zhiting Hu and Xiaojun Chang and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and IEEE Transactions on Pattern Analysis and Machine Intelligence.