Weijiang Lai

According to our database, Weijiang Lai authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction.

Weijiang Lai, Beihong Jin, Di Zhang, Siru Chen, Jiongyan Zhang, Yuhang Gou, Jian Dong, Xingxing Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction.

Weijiang Lai, Beihong Jin, Yapeng Zhang, Yiyuan Zheng, Rui Zhao, Jian Dong, Jun Lei, Xingxing Wang

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Exploring Scaling Laws of CTR Model for Online Performance Improvement.

Weijiang Lai, Beihong Jin, Jiongyan Zhang, Yiyuan Zheng, Jian Dong, Jia Cheng, Jun Lei, Xingxing Wang

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Multi-intent Driven Contrastive Sequential Recommendation.

Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao, Weijiang Lai, Tao Xiang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Multiple Hypergraph Learning for Ephemeral Group Recommendation.

Rui Zhao, Beihong Jin, Yimin Lv, Yiyuan Zheng, Weijiang Lai

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Reducing Interaction Noise for Sequential Recommendation via Robust Interests.

Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation.

Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023