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Guangchen Liu

PIDGN: An explainable multimodal deep learning framework for early prediction of Parkinson's disease
2025 · Wenjia Li, Quanrui Rao, et al. · Journal of Neuroscience Methods · 29
AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning
2025 · Zhen Yang, Mei Song, et al. · Theoretical and Applied Genetics · 5
GRE: A Framework for Significant SNP Identification Associated with Wheat Yield Leveraging GWAS–Random Forest Joint Feature Selection and Explainable Machine Learning Genomic Selection Algorithm
2025 · Mei Song, Shanghui Zhang, et al. · Genes · 4
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Research on low frequency compensation method based on deep learning
2021 · Z. Wang, G. Liu, et al. · EAGE Annual Conference & Exhibition · 1
Ultra-Short-Term Wind Power Prediction with WOA-VMD and MoE-Informer
2025 · Jiajing Gao, Yongsheng Wang, et al. · IEEE Conference on Energy Internet and Energy System Integration (EI2)
Hybrid Expert Model with EEMD and Adaptive TCN-GRU-Attention for Ultra-Short-Term Wind Power Forecasting
2025 · Fan Yang, Yongsheng Wang, et al. · IEEE Conference on Energy Internet and Energy System Integration (EI2)
Unsupervised Deep Learning Model for Fast Energy Layer Pre-Selection in Delivery-Efficient Proton Arc Therapy
2025 · G. Liu, B. Yang, et al. · International Journal of Radiation Oncology*Biology*Physics
Dual-path feature extraction with MoE optimization for ultra-short-term wind power forecasting
2025 · Yongsheng Wang, Xuehui Wang, et al. · SSRN Electronic Journal
Dual-path feature extraction with MoE optimization for ultra-short-term wind power forecasting
2025 · Yongsheng Wang, Xuehui Wang, et al. · SSRN Electronic Journal
Works count: 9
Citation count: 39
H-index: 3
I10-index: 1
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