Fangyuan Luo - RankMe

21 papers A* 8Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach. AAAI Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2026	J	`jnl`	Counterfactual reasoning for alleviating dual biases in recommendation. Int. J. Mach. Learn. Cybern. Sijin Lu, Fangyuan Luo, Jun Wu
2025	A*	`conf`	Alleviating Dual Biases in Recommendation (Student Abstract). AAAI Sijin Lu, Fangyuan Luo, Jun Wu
2025	J	`jnl`	Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach. CoRR Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2025	A*	`conf`	Dual Debiasing in LLM-based Recommendation. SIGIR Sijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu
2025	J	`jnl`	Higher-degrees Hybrid Non-uniform Subdivision Surfaces. Comput. Aided Des. Fangyuan Luo, Xin Li
2025	J	`jnl`	Rank Gap Sensitive Deep AUC maximization for CTR prediction. Pattern Recognit. Fangyuan Luo, Yankai Chen, Jun Wu, Yidong Li
2025	—	`conf`	The Research on GPU-Based Relational Join Algorithms. HP3C Wenwei Kou, Jinlian Du, Hang Su, Fangyuan Luo
2024	J	`jnl`	Application and value of Internet of Things in enterprise supply chain management. J. Comput. Methods Sci. Eng. Zhiyuan Li, Fangyuan Luo
2024	J	`jnl`	Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression. ACM Trans. Knowl. Discov. Data Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan
2024	J	`jnl`	Discrete Listwise Content-aware Recommendation. ACM Trans. Knowl. Discov. Data Fangyuan Luo, Jun Wu, Tao Wang
2024	J	`jnl`	Learning to Hash for Recommendation: A Survey. CoRR Fangyuan Luo, Honglei Zhang, Tong Li, Jun Wu
2024	A*	`conf`	Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). AAAI Fangyuan Luo, Jun Wu
2023	J	`jnl`	LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. ACM Trans. Inf. Syst. Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
2023	A*	`conf`	User-Dependent Learning to Debias for Recommendation. SIGIR Fangyuan Luo, Jun Wu
2022	A*	`conf`	Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. IJCAI Fangyuan Luo, Jun Wu, Tao Wang
2022	J	`jnl`	LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. CoRR Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
2022	A*	`conf`	Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. SIGIR Shuang Tang, Fangyuan Luo, Jun Wu
2021	A*	`conf`	Semi-Discrete Social Recommendation (Student Abstract). AAAI Fangyuan Luo, Jun Wu, Haishuai Wang
2021	—	`conf`	Semi-supervised Factorization Machines for Review-Aware Recommendation. DASFAA (3) Junheng Huang, Fangyuan Luo, Jun Wu
2020	J	`jnl`	Semi-discrete Matrix Factorization. IEEE Intell. Syst. Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang