A Double Channel CNN-LSTM Model for Text Classification. - Shengbin Liang; Bin Zhu; Yuying Zhang; Suying Cheng; Jiangyong Jin (HPCC/DSS/SmartCity, 2020)

Recommendation Algorithm Based on Improved Convolutional Neural Network and Matrix Factorization. - Shengbin Liang; Lulu Bai; Hengming Zhang (ICPCSEE (1), 2020)

Multi-Scale Superpixels Dimension Reduction Hyperspectral Image Classification Algorithm Based on Low Rank Sparse Representation Joint Hierarchical Recursive Filtering. - Shenming Qu; Xuan Liu; Shengbin Liang (Sensors, 2021)

A Model of Integrating Bert and BiGRU+ Attention Dual-channel Mechanism for Investor Sentiment Analysis of Stock Price Forecast. - Huawei Ma; Jixin Ma 001; Shengbin Liang; Wencai Du (SNPD, 2022)

A Multi-Channel Text Sentiment Analysis Model Integrating Pre-training Mechanism. - Shengbin Liang; Jiangyong Jin; Wencai Du; Shenming Qu (Inf. Technol. Control., 2023)

An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation. - Shengbin Liang; Jiangyong Jin; Jia Ren; Wencai Du; Shenming Qu (Big Data, 2023)

A medical text classification approach with ZEN and capsule network. - Shengbin Liang; Fuqi Sun; Haoran Sun; Tingting Chen; Wencai Du (J. Supercomput., 2024)

A sequential recommendation method using contrastive learning and Wasserstein self-attention mechanism. - Shengbin Liang; Jinfeng Ma; Qiuchen Zhao; Tingting Chen; Xixi Lu 005; Shuanglong Ren; Chenyang Zhao; Lei Fu; Huichao Ding (PeerJ Comput. Sci., 2025)

KerGNNT: an interpretable graph neural network recommendation model. - Shengbin Liang; Jinfeng Ma; Fuqi Sun; Tingting Chen; Xixi Lu 005; Shuanglong Ren (Knowl. Inf. Syst., 2025)