Feihu Huang
About
Feihu Huang has authored 18 papers that have received a total of 182 indexed citations.
This includes 13 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Feihu Huang is often cited by papers focused on Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers) and collaborates with scholars based in United States, China and Australia. Feihu Huang's co-authors include Heng Huang, Shangqian Gao, Songcan Chen, Yanfu Zhang and Cheng Deng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and IEEE Transactions on Neural Networks and Learning Systems
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