activity
20182020
most citedLunar impact craters identification and age estimation with Chang'E data by deep and transfer learning

1.1k citations · 1.1k across the 9 of their papers we have counts for

collaborators

9 papers

math.CV2020

Generalized weighted composition operators on Bergman spaces induced by doubling weights

Bin Liu

Bounded and compact generalized weighted composition operators acting from the weighted Bergman space , where and belongs to the class of radi…

math.CV2020★ 2 cited

Compact differences of composition operators on Bergman spaces induced by doubling weights

Bin Liu, Jouni Rättyä, Fanglei Wu

Bounded and compact differences of two composition operators acting from the weighted Bergman space to the Lebesgue space , where and belongs to t…

astro-ph.GA2020★ 22 cited

A Deep Learning Approach to Quasar Continuum Prediction

Bin Liu, Rongmon Bordoloi

We present a novel intelligent quasar continuum neural network (iQNet), predicting the intrinsic continuum of any quasar in the rest-frame wavelength range 1020 Angstroms $\leq λ\l…

math.FA2020★ 3 cited

Compact Differences of Weighted Composition Operators

Bin Liu, Jouni Rättyä

Compact differences of two weighted composition operators acting from the weighted Bergman space to another weighted Bergman space , where and $ω,ν…

astro-ph.EP2019★ 1.1k cited

Lunar impact craters identification and age estimation with Chang'E data by deep and transfer learning

Chen Yang, Haishi Zhao, Lorenzo Bruzzone +7

Impact craters, as "lunar fossils", are the most dominant lunar surface features and occupy most of the Moon's surface. Their formation and evolution record the history of the Sola…

math.PR2019

Tail Asymptotics for the Retrial Queue with Priority

Bin Liu, Yiqiang Q. Zhao

Stochastic networks with complex structures are key modelling tools for many important applications. In this paper, we consider a specific type of network: the retrial queueing sys…