most citedAttention-based CNN-LSTM and XGBoost hybrid model for stock prediction

21 citations · 28 across the 4 of their papers we have counts for

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cs.LG2022★ 1 cited

Differential equation and probability inspired graph neural networks for latent variable learning

Zhuangwei Shi

Probabilistic theory and differential equation are powerful tools for the interpretability and guidance of the design of machine learning models, especially for illuminating the ma…

cs.LG2021★ 6 cited

Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation

Chen Jin, Zhuangwei Shi, Weihua Li +1

Chinese word segmentation (CWS) is the basic of Chinese natural language processing (NLP). The quality of word segmentation will directly affect the rest of NLP tasks. Recently, wi…