Fangyuan Luo

According to our database, Fangyuan Luo authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

Counterfactual reasoning for alleviating dual biases in recommendation.

Sijin Lu, Fangyuan Luo, Jun Wu

Int. J. Mach. Learn. Cybern., April, 2026

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach.

Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rank Gap Sensitive Deep AUC maximization for CTR prediction.

Fangyuan Luo, Yankai Chen, Jun Wu, Yidong Li

Pattern Recognit., 2025

Higher-degrees Hybrid Non-uniform Subdivision Surfaces.

Fangyuan Luo, Xin Li

Comput. Aided Des., 2025

Dual Debiasing in LLM-based Recommendation.

Sijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu

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

The Research on GPU-Based Relational Join Algorithms.

Wenwei Kou, Jinlian Du, Hang Su, Fangyuan Luo

Proceedings of the 2025 9th International Conference on High Performance Compilation, 2025

Alleviating Dual Biases in Recommendation (Student Abstract).

Sijin Lu, Fangyuan Luo, Jun Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

HashRec-Datasets.

Fangyuan Luo

Dataset, December, 2024

Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression.

Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan

ACM Trans. Knowl. Discov. Data, February, 2024

Discrete Listwise Content-aware Recommendation.

Fangyuan Luo, Jun Wu, Tao Wang

ACM Trans. Knowl. Discov. Data, January, 2024

Application and value of Internet of Things in enterprise supply chain management.

Zhiyuan Li, Fangyuan Luo

J. Comput. Methods Sci. Eng., 2024

Learning to Hash for Recommendation: A Survey.

Fangyuan Luo, Honglei Zhang, Tong Li, Jun Wu

CoRR, 2024

Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract).

Fangyuan Luo, Jun Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.

Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li

ACM Trans. Inf. Syst., October, 2023

User-Dependent Learning to Debias for Recommendation.

Fangyuan Luo, Jun Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction.

Shuang Tang, Fangyuan Luo, Jun Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback.

Fangyuan Luo, Jun Wu, Tao Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Semi-supervised Factorization Machines for Review-Aware Recommendation.

Junheng Huang, Fangyuan Luo, Jun Wu

Proceedings of the Database Systems for Advanced Applications, 2021

Semi-Discrete Social Recommendation (Student Abstract).

Fangyuan Luo, Jun Wu, Haishuai Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Semi-discrete Matrix Factorization.

Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang

IEEE Intell. Syst., 2020