Cong Fang
About
Cong Fang has authored 39 papers that have received a total of 1.2k indexed citations.
This includes 18 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 9 papers in Computational Mechanics. The topics of these papers are Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers) and Machine Learning and ELM (6 papers). Cong Fang is often cited by papers focused on Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers) and Machine Learning and ELM (6 papers) and collaborates with scholars based in China, United States and Hong Kong. Cong Fang's co-authors include Zhouchen Lin, Ouwei Sheng, Yang Xia, Wenkui Zhang and Jianmin Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE
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