21 citations · 29 across the 9 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
q-fin.TR2023★ 1 cited
Deep Reinforcement Learning for Quantitative Trading
Maochun Xu, Zixun Lan, Zheng Tao +2
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the domain of Quantitative Trading (QT) through the deployment of advanced algorithms capable of sifting thr…
cs.CV2023
Use neural networks to recognize students' handwritten letters and incorrect symbols
JiaJun Zhu, Zichuan Yang, Binjie Hong +6
Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' and…
cs.LG2023★ 1 cited
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning
Zixun Lan, Zuo Zeng, Binjie Hong +2
The reaction center consists of atoms in the product whose local properties are not identical to the corresponding atoms in the reactants. Prior studies on reaction center identifi…