Hao Liu

According to our database, Hao Liu authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Mitigating Fine-tuning Bias: A Parameter-Efficient Debiasing Framework for Large Language Models.

Qiuyu Li, Kun Zhang, Le Wu, Hao Liu, Hefei Xu, Xin Li, Si Wei

Proceedings of the ACM Web Conference 2026, 2026

WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging.

Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei

Proceedings of the ACM Web Conference 2026, 2026

2025

Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective.

Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.

Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin

ACM Trans. Inf. Syst., July, 2024

DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation.

Lei Guo, Hao Liu, Lei Zhu, Weili Guan, Zhiyong Cheng

ACM Trans. Inf. Syst., March, 2024

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.

Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin

CoRR, 2024