Jiongcheng Li

9 papers and 244 indexed citations i.

Jiongcheng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Jiongcheng Li has authored 9 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Mechanical Engineering. Recurrent topics in Jiongcheng Li’s work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and COVID-19 diagnosis using AI (1 paper). Jiongcheng Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and COVID-19 diagnosis using AI (1 paper). Jiongcheng Li collaborates with scholars based in China, Hong Kong and United States. Jiongcheng Li's co-authors include Han‐Xiong Huang, Yizhou Yu, Chaoqi Chen, Haidong Li, Xiaoguang Han, Yue Huang, Xinghao Ding, Xiaoqing Liu, Hong-Yu Zhou and Qikui Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Sensors.