Feng Liu

According to our database, Feng Liu authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation.

Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang

ACM Trans. Inf. Syst., January, 2026

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation.

Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen

CoRR, January, 2026

Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders.

Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

Proceedings of the ACM Web Conference 2026, 2026

Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction.

Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders.

Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

CoRR, October, 2025

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation.

Yu Cui, Feng Liu, Jiawei Chen, Canghong Jin, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Can Wang

CoRR, October, 2025

Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising.

Zheng Pan, Xingyu Lou, Xiao Jin, Chiye Ou, Feng Liu, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender.

Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang

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

2024

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation.

Kuiyao Dong, Xingyu Lou, Feng Liu, Ruian Wang, Wenyi Yu, Ping Wang, Jun Wang

CoRR, 2024

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation.

Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang

CoRR, 2024

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model.

Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen

CoRR, 2024

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models.

Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen

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