Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. - Songyin Luo; Xiangkui Lu; Jun Wu 007; Jianbo Yuan (CIKM, 2021)

Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. - Shun Zhang; Xiangkui Lu; Jun Wu 007 (CIKM, 2022)

Semi-supervised Review-Aware Rating Regression (Student Abstract). - Xiangkui Lu; Jun Wu 007 (AAAI, 2023)

Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. - Xiangkui Lu; Jun Wu 007; Jianbo Yuan (SIGIR, 2023)

Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression. - Xiangkui Lu; Jun Wu 007; Junheng Huang; Fangyuan Luo; Jianbo Yuan (ACM Trans. Knowl. Discov. Data, 2024)

Top-one Recommendation with Anonymous User Behaviors (Student Abstract). - Xiangkui Lu; Jun Wu (AAAI, 2025)

KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank. - Kuan Xu; Kuo Yang; Jian Liu; Xiangkui Lu; Jun Wu; Xuezhong Zhou (AAAI, 2025)

Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation. - Xiangkui Lu; Jun Wu (Inf. Process. Manag., 2025)