Haoyan Chua

According to our database, Haoyan Chua authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang

CoRR, July, 2025

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation.

Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Large Language Model with Graph Convolution for Recommendation.

Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun

CoRR, 2024

Unified Denoising Training for Recommendation.

Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Towards Cross-Domain Continual Learning.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024