Impact on recommendation performance of online review helpfulness and consistency. - Jaeseung Park; Xinzhe Li 001; Qinglong Li; Jaekyeong Kim (Data Technol. Appl., 2023)

A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach. - Xinzhe Li 001; Qinglong Li; Jaekyeong Kim (Appl. Artif. Intell., 2023)

Review-Based Recommender System Using Outer Product on CNN. - Sein Hong; Xinzhe Li 001; Sigeon Yang; Jaekyeong Kim (IEEE Access, 2024)

Utilizing Advanced Transformers for Summarized Review-Aware Recommender System. - Suji Kim; Li Jin; Qinglong Li; Xinzhe Li 001; Chulkyoon Yoon; Jaekyeong Kim (IEEE Access, 2025)

A Deep Learning-Based Review Helpfulness Prediction System for Online Beauty Products. - Sooil Kim; Seonu Park; Xinzhe Li 001; Jaekyeong Kim (IEEE Access, 2025)

A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts. - Xinzhe Li 001; Qinglong Li; Dongyeop Ryu; Jaekyeong Kim (Appl. Intell., 2025)