Yun Liu, Natthawut Kertkeidkachorn, Jun Miyazaki, Ryutaro Ichise. Review-enhanced contrastive learning on knowledge graphs for recommendation. Expert Systems with Applications, Volume 277, 2025, 127250, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2025.127250.
Ziqiang Li, Yun Liu, and Gouhei Tanaka (2023). Multi-Reservoir Echo State Networks with Hodrick–Prescott Filter for nonlinear time-series prediction. Applied Soft Computing, 110021.
Yun Liu, Jun Miyazaki. Knowledge-aware Attentional Neural Network for Review-based Movie Recommendation with Explanations. Neural Computing and Applications, 2023, 35 (3), 2717-2735.
Ziqiang Li, Xun Cai, Yun Liu, and Bo Zhu. "A novel gaussian–bernoulli based convolutional deep belief networks for image feature extraction." Neural Processing Letters 49, no. 1 (2019): 305-319.
Yun Liu, Sun Yuqing, Li Mingzhu. User Attributes Inference Based on Reviews on Social Media [J]. Chinese Journal of Computers. 2017, 40(12): 2762 2762-2776.
Yun Liu, Jun Miyazaki, Qiong Chang. "Knowledge graph enhanced multi-task learning between reviews and ratings for movie recommendation"[C]//Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 2022: 1882-1889.
Yun Liu, Jun Miyazaki, Qiong Chang. Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation. Database and Expert Systems Applications. DEXA 2022: 3-16. https://doi.org/10.1007/978-3-031-12423-5_1
Yun Liu, Natthawut Kertkeidkachorn, Jun Miyazaki, and Ryutaro Ichise. The Impact of Noisy Information in Knowledge Graphs on Recommendation Performanc[C]//⼈⼯知能学会全国⼤会論⽂集 第 38 回 (2024). ⼀般社団法⼈ ⼈⼯知能学会, 2024: 3Q1IS2a04-3Q1IS2a04.
Yun Liu, Jun Miyazaki, Ryutaro Ichise. Knowledge-aware attentional neural network for explainable recommendation[C]//⼈⼯知能学会全国⼤会論⽂集 第 37 回 (2023). ⼀般社団法⼈ ⼈⼯知能学会, 2023: 1U4IS1a02-1U4IS1a02.
Yun Liu, Jun Miyazaki. Mutual Learning between Reviews and Ratings for Recommendation with Knowledge-based Neural Network. DEIM Forum. 2021.