Fangyuan Luo

21 papers A* 8Journal 11Unranked 2
YearRankTypeTitle / 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