Xiangkui Lu

According to our database, Xiangkui Lu authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation.

Xiangkui Lu, Jun Wu

Inf. Process. Manag., 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Top-one Recommendation with Anonymous User Behaviors (Student Abstract).

Xiangkui Lu, Jun Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression.

Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan

ACM Trans. Knowl. Discov. Data, February, 2024

2023

Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation.

Xiangkui Lu, Jun Wu, Jianbo Yuan

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Semi-supervised Review-Aware Rating Regression (Student Abstract).

Xiangkui Lu, Jun Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction.

Shun Zhang, Xiangkui Lu, Jun Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Review-Aware Neural Recommendation with Cross-Modality Mutual Attention.

Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021