Feng Liu - RankMe

14 papers A* 3A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders. WWW Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2026	A*	`conf`	Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction. WWW Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2026	J	`jnl`	LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation. ACM Trans. Inf. Syst. Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang
2026	J	`jnl`	SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation. CoRR Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen
2025	J	`jnl`	Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders. CoRR Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2025	J	`jnl`	Field Matters: A lightweight LLM-enhanced Method for CTR Prediction. CoRR Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2025	J	`jnl`	HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation. CoRR Yu Cui, Feng Liu, Jiawei Chen, Canghong Jin, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Can Wang
2025	A*	`conf`	MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. SIGIR Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. CoRR Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	A	`conf`	Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising. WSDM Zheng Pan, Xingyu Lou, Xiao Jin, Chiye Ou, Feng Liu, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang
2024	J	`jnl`	Adaptive Conditional Expert Selection Network for Multi-domain Recommendation. CoRR Kuiyao Dong, Xingyu Lou, Feng Liu, Ruian Wang, Wenyi Yu, Ping Wang, Jun Wang
2024	J	`jnl`	Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model. CoRR Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen
2024	A	`conf`	Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. RecSys Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen
2024	J	`jnl`	LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. CoRR Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang