Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature. - Linxiao Wu; Yuanshuai Luo; Binrong Zhu; Guiran Liu; Rui Wang; Qian Yu (ICBASE, 2024)

Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications. - Shaobo Liu; Guiran Liu; Binrong Zhu; Yuanshuai Luo; Linxiao Wu; Rui Wang (ICMLCA, 2024)

Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing. - Bingyao Liu; Jiajing Chen; Rui Wang; Junming Huang 003; Yuanshuai Luo; Jianjun Wei (CoRR, 2024)

A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining. - Wenyi Liu; Rui Wang; Yuanshuai Luo; Jianjun Wei; Zihao Zhao; Junming Huang 003 (CoRR, 2024)

Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms. - Haowei Yang; Zhan Cheng; Zhaoyang Zhang; Yuanshuai Luo; Shuaishuai Huang; Xiang Ao 001 (CoRR, 2024)

Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues. - Yuanshuai Luo; Rui Wang; Yaxin Liang; Ankai Liang; Wenyi Liu (CoRR, 2024)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing. - Wenyi Liu; Ziqi Zhang 004; Xinshi Li; Jiacheng Hu; Yuanshuai Luo; Junliang Du (CoRR, 2024)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models. - Xueting Lin; Zhan Cheng; Longfei Yun; Qingyi Lu; Yuanshuai Luo (CoRR, 2024)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion. - Jiacheng Hu; Tai An; Zidong Yu; Junliang Du; Yuanshuai Luo (CoRR, 2025)