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Journal Articles
- 2024
[j5]Zhiyuan Li, Fangyuan Luo:
Application and value of Internet of Things in enterprise supply chain management. J. Comput. Methods Sci. Eng. 24(4-5): 2689-2703 (2024)- [j4]Fangyuan Luo
, Jun Wu, Tao Wang:
Discrete Listwise Content-aware Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 7:1-7:20 (2024) - [j3]Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan:
Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression. ACM Trans. Knowl. Discov. Data 18(2): 41:1-41:16 (2024) - 2023
- [j2]Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li:
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. ACM Trans. Inf. Syst. 41(4): 90:1-90:28 (2023) - 2020
- [j1]Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang:
Semi-discrete Matrix Factorization. IEEE Intell. Syst. 35(5): 73-83 (2020)
Conference and Workshop Papers
- 2024
- [c6]Fangyuan Luo, Jun Wu:
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). AAAI 2024: 23569-23570 - 2023
- [c5]Fangyuan Luo, Jun Wu:
User-Dependent Learning to Debias for Recommendation. SIGIR 2023: 2491-2495 - 2022
- [c4]Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. IJCAI 2022: 2159-2165 - [c3]Shuang Tang, Fangyuan Luo, Jun Wu:
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. SIGIR 2022: 2400-2404 - 2021
- [c2]Fangyuan Luo, Jun Wu, Haishuai Wang:
Semi-Discrete Social Recommendation (Student Abstract). AAAI 2021: 15835-15836 - [c1]Junheng Huang, Fangyuan Luo, Jun Wu:
Semi-supervised Factorization Machines for Review-Aware Recommendation. DASFAA (3) 2021: 85-99
Informal and Other Publications
- 2022
- [i1]Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li:
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. CoRR abs/2206.11743 (2022)
Coauthor Index
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