Leveraging Neural Network for Online Learning Performance Prediction and Learning Suggestion. - Yingshan Shen; Weiwei Liu; Qiumei Wu; Ruiyang Chen; Kui Liu (SETE@ICWL, 2019)

A Hybrid Model for Community-Oriented Lexical Simplification. - Jiayin Song; Yingshan Shen; John Lee 001; Tianyong Hao (NLPCC (1), 2020)

EEG-based Major Depressive Disorder Detection Using Data Mining Techniques. - Danqi Hong; Xingxian Huang; Yingshan Shen; Haibo Yu; Xiaomao Fan; Gansen Zhao; Wenbin Lei; Haoyu Luo (EMBC, 2021)

A novel EEG-based major depressive disorder detection framework with two-stage feature selection. - Yujie Li; Yingshan Shen; Xiaomao Fan; Xingxian Huang; Haibo Yu; Gansen Zhao; Wenjun Ma (BMC Medical Informatics Decis. Mak., 2022)

Multimodal Sentiment Analysis Based on Multiple Stacked Attention Mechanisms. - Chao He; Yingshan Shen; Nan Zhong; Dongqing Song; Huijuan Hu; Dingju Zhu; Lihua Cai (CSCWD, 2023)

StAGN: Spatial-Temporal Adaptive Graph Network via Contrastive Learning for Sleep Stage Classification. - Junyang Chen; Yidan Dai; Xianhui Chen; Yingshan Shen; Yan Luximon; Hailiang Wang; Yuxin He; Wenjun Ma; Xiaomao Fan (SDM, 2023)

Oriented Classroom Instructional Behavior Recognition Benchmark. - Muxin Xu; Yingshan Shen; Sizhu Wang; Xiaofeng Yuan (SETE (1), 2023)

Automated detection for Retinopathy of Prematurity with knowledge distilling from multi-stream fusion network. - Yingshan Shen; Zhitao Luo; Muxin Xu; Zhihao Liang; Xiaomao Fan; Xiaohe Lu (Knowl. Based Syst., 2023)

Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis. - Chao He; Xinghua Zhang; Dongqing Song; Yingshan Shen; Chengjie Mao; Huosheng Wen; Dingju Zhu; Lihua Cai (Big Data Cogn. Comput., 2024)

GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets. - Choujun Zhan; Du Yin; Yingshan Shen; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint. - Hengdong Zhu; Yingshan Shen; Choujun Zhan; Fu Lee Wang; Heng Weng; Tianyong Hao (Knowl. Based Syst., 2025)