Xingcheng Yao

3 papers and 992 indexed citations i.

Xingcheng Yao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Xingcheng Yao has authored 3 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Biomedical Engineering. Recurrent topics in Xingcheng Yao’s work include Advanced Graph Neural Networks (1 paper), Topic Modeling (1 paper) and Complex Network Analysis Techniques (1 paper). Xingcheng Yao is often cited by papers focused on Advanced Graph Neural Networks (1 paper), Topic Modeling (1 paper) and Complex Network Analysis Techniques (1 paper). Xingcheng Yao collaborates with scholars based in China, United States and Germany. Xingcheng Yao's co-authors include Tianyu Gao, Danqi Chen, Aohan Zeng, Chang Zhou, Zhenyu Hou, Tsung-Yi Ho, Yuxiao Dong, Yu Wang, Jie Tang and Hailong Yao and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the ACM Web Conference 2022 and Proceedings of the Great Lakes Symposium on VLSI 2022.