Qianli Liao
About
Qianli Liao has authored 19 papers that have received a total of 610 indexed citations.
This includes 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (6 papers), Neural Networks and Applications (6 papers) and Stochastic Gradient Optimization Techniques (5 papers). Qianli Liao is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Neural Networks and Applications (6 papers) and Stochastic Gradient Optimization Techniques (5 papers) and collaborates with scholars based in United States, Italy and France. Qianli Liao's co-authors include Tomaso Poggio, Joel Z. Leibo, Brando Miranda, Lorenzo Rosasco and H. N. Mhaskar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.
In The Last Decade
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