Yingshan Shen

16 papers A 1C 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid Swin Transformer and EfficientNetB2-Based Framework for Automated ROP Detection in Premature Infants.
Int. J. Imaging Syst. Technol.
Ruoyao Cai, Jiaxuan Li, Fangzhou Wang, Xiaoya Li, Jiaming Guo, Jie Dai, Yingshan Shen
2025 J jnl
A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint.
Knowl. Based Syst.
Hengdong Zhu, Yingshan Shen, Choujun Zhan, Fu Lee Wang, Heng Weng, Tianyong Hao
2025 — conf
DocFEAt: A Lightweight Model with Hybrid Feature Engineering and Dynamic Attention for Document Dewarping.
ADMA (3)
Weizhong Zhang, Yingshan Shen, Sizhu Wang, Qi Chen, Junhui Deng, Jiahao Feng
2025 — conf
ECSR-Net: An Efficient Classroom Speech Recognition Network Based on Convolutional Neural Networks with Mixup Attention.
BDICN
Xiaofeng Yuan, Sizhu Wang, Qi Chen, Weizhong Zhang, Yingshan Shen
2025 — conf
NER Based on Dependency Structure Feature Fusion.
BDICN
Qi Chen, Yingshan Shen
2025 — conf
SANet: Multi-scale Dynamic Aggregation for Chinese Handwriting Recognition.
ICDAR (2)
Sizhu Wang, Yingshan Shen, Xiaofeng Yuan
2024 J jnl
GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets.
IEEE Trans. Consumer Electron.
Choujun Zhan, Du Yin, Yingshan Shen, Tianyong Hao
2024 J jnl
Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis.
Big Data Cogn. Comput.
Chao He, Xinghua Zhang, Dongqing Song, Yingshan Shen, Chengjie Mao, Huosheng Wen, Dingju Zhu, Lihua Cai
2023 J jnl
Automated detection for Retinopathy of Prematurity with knowledge distilling from multi-stream fusion network.
Knowl. Based Syst.
Yingshan Shen, Zhitao Luo, Muxin Xu, Zhihao Liang, Xiaomao Fan, Xiaohe Lu
2023 C conf
Multimodal Sentiment Analysis Based on Multiple Stacked Attention Mechanisms.
CSCWD
Chao He, Yingshan Shen, Nan Zhong, Dongqing Song, Huijuan Hu, Dingju Zhu, Lihua Cai
2023 — conf
Oriented Classroom Instructional Behavior Recognition Benchmark.
SETE (1)
Muxin Xu, Yingshan Shen, Sizhu Wang, Xiaofeng Yuan
2023 A conf
StAGN: Spatial-Temporal Adaptive Graph Network via Contrastive Learning for Sleep Stage Classification.
SDM
Junyang Chen, Yidan Dai, Xianhui Chen, Yingshan Shen, Yan Luximon, Hailiang Wang, Yuxin He, Wenjun Ma, Xiaomao Fan
2022 J jnl
A novel EEG-based major depressive disorder detection framework with two-stage feature selection.
BMC Medical Informatics Decis. Mak.
Yujie Li, Yingshan Shen, Xiaomao Fan, Xingxian Huang, Haibo Yu, Gansen Zhao, Wenjun Ma
2021 — conf
EEG-based Major Depressive Disorder Detection Using Data Mining Techniques.
EMBC
Danqi Hong, Xingxian Huang, Yingshan Shen, Haibo Yu, Xiaomao Fan, Gansen Zhao, Wenbin Lei, Haoyu Luo
2020 — conf
A Hybrid Model for Community-Oriented Lexical Simplification.
NLPCC (1)
Jiayin Song, Yingshan Shen, John Lee, Tianyong Hao
2019 — conf
Leveraging Neural Network for Online Learning Performance Prediction and Learning Suggestion.
SETE@ICWL
Yingshan Shen, Weiwei Liu, Qiumei Wu, Ruiyang Chen, Kui Liu