26 citations · 55 across the 12 of their papers we have counts for
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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…
cs.CV2022★ 4 cited
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
Mingjie Wang, Jun Zhou, Hao Cai +1
Existing state-of-the-art crowd counting algorithms rely excessively on location-level annotations, which are burdensome to acquire. When only count-level (weak) supervisory signal…