Wenliang Zhong

6 papers and 368 indexed citations i.

Wenliang Zhong is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenliang Zhong has authored 6 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenliang Zhong’s work include Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Wenliang Zhong is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Wenliang Zhong collaborates with scholars based in Hong Kong and China. Wenliang Zhong's co-authors include James T. Kwok, Weigang Wu, Yuhui Shi, Wei‐Neng Chen, Henry Shu-Hung Chung, Jun Zhang and Quanming Yao and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, arXiv (Cornell University) and International Conference on Machine Learning.