4 citations · 5 across the 3 of their papers we have counts for
3 papers
quant-ph2023
Configured Quantum Reservoir Computing for Multi-Task Machine Learning
Wei Xia, Jie Zou, Xingze Qiu +5
Amidst the rapid advancements in experimental technology, noise-intermediate-scale quantum (NISQ) devices have become increasingly programmable, offering versatile opportunities to…
q-fin.CP2022★ 4 cited
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks
Jie Zou, Jiashu Lou, Baohua Wang +1
More and more stock trading strategies are constructed using deep reinforcement learning (DRL) algorithms, but DRL methods originally widely used in the gaming community are not di…
cs.CV2022★ 1 cited
Palm Vein Recognition via Multi-task Loss Function and Attention Layer
Jiashu Lou, Jie zou, Baohua Wang
With the improvement of arithmetic power and algorithm accuracy of personal devices, biological features are increasingly widely used in personal identification, and palm vein reco…