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ORCIDZhuangwei Shi
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2020 – today
- 2024
[i7]Zhuangwei Shi:
MambaStock: Selective state space model for stock prediction. CoRR abs/2402.18959 (2024)- [i6]Zhuangwei Shi:
MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries. CoRR abs/2403.05430 (2024) - 2022
- [i5]Zhuangwei Shi:
Differential equation and probability inspired graph neural networks for latent variable learning. CoRR abs/2202.13800 (2022) - [i4]Zhuangwei Shi, Yang Hu, Guangliang Mo, Jian Wu:
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction. CoRR abs/2204.02623 (2022) - [i3]Zhuangwei Shi:
Graph neural networks and attention-based CNN-LSTM for protein classification. CoRR abs/2204.09486 (2022) - 2021
- [j2]Zhuangwei Shi, Han Zhang, Chen Jin, Xiongwen Quan
, Yanbin Yin:
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. BMC Bioinform. 22(1): 136 (2021) - [j1]Chen Jin, Jianzhao Gao, Zhuangwei Shi, Han Zhang:
ATTCry: Attention-based neural network model for protein crystallization prediction. Neurocomputing 463: 265-274 (2021) - [c1]Chen Jin, Zhuangwei Shi, Han Zhang, Yanbin Yin:
Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training. BIBM 2021: 38-43 - [i2]Zhuangwei Shi:
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation. CoRR abs/2105.00250 (2021) - [i1]Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo:
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. CoRR abs/2105.09681 (2021)
Coauthor Index
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