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2020 – today
- 2023
[j3]Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian:
A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model. J. Cloud Comput. 12(1): 57 (2023)- [j2]Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang:
Sequential POI Recommend Based on Personalized Federated Learning. Neural Process. Lett. 55(6): 7351-7368 (2023) - [c5]Zhiye Wang, Baisong Liu, Chennan Lin, Xueyuan Zhang, Ce Hu, Jiangcheng Qin, Linze Luo:
Revisiting Data Poisoning Attacks on Deep Learning Based Recommender Systems. ISCC 2023: 1261-1267 - 2022
- [j1]Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian:
Exploiting high-order behaviour patterns for cross-domain sequential recommendation. Connect. Sci. 34(1): 2597-2614 (2022) - [c4]Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian:
Ranking-based Federated POI Recommendation with Geographic Effect. IJCNN 2022: 1-8 - [c3]Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian:
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System. IJCNN 2022: 1-8 - [i2]Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian:
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation. CoRR abs/2206.13715 (2022) - 2021
- [c2]Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang:
An Explainable Person-Job Fit Model Incorporating Structured Information. IEEE BigData 2021: 3571-3579 - [c1]Jiangcheng Qin, Baisong Liu, Jiangbo Qian:
A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning. ICSIM 2021: 82-88 - 2020
- [i1]Jiangcheng Qin, Baisong Liu:
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning. CoRR abs/2011.05614 (2020)
Coauthor Index
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