21 citations · 28 across the 4 of their papers we have counts for
4 papers
Graph neural networks and attention-based CNN-LSTM for protein classification
Zhuangwei Shi, Bo Li
This paper focuses on three critical problems on protein classification. Firstly, Carbohydrate-active enzyme (CAZyme) classification can help people to understand the properties of…
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Zhuangwei Shi, Yang Hu, Guangliang Mo +1
Stock market plays an important role in the economic development. Due to the complex volatility of the stock market, the research and prediction on the change of the stock price, c…
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…
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…