12 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CE2022★ 4 cited
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
Mingjie Wang, Juanxi Tian, Mingze Zhang +2
The endeavor of stock trend forecasting is principally focused on predicting the future trajectory of the stock market, utilizing either manual or technical methodologies to optimi…
cs.LG2022★ 12 cited
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
Mingjie Wang, Jianxiong Guo, Weijia Jia
Federated Learning (FL) is a decentralized learning method used to train machine learning algorithms. In FL, a global model iteratively collects the parameters of local models with…