Jiangcheng Qin

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Collaborative Filtering

Product Recommendation

Top Venues

Publications

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) (2023)
Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang
Sequential POI Recommend Based on Personalized Federated Learning. Neural Process. Lett. 55 (6) (2023)
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)
Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System. IJCNN (2022)
Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation. CoRR (2022)
Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian
Ranking-based Federated POI Recommendation with Geographic Effect. IJCNN (2022)
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) (2022)
Jiangcheng Qin, Baisong Liu, Jiangbo Qian
A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning. ICSIM (2021)
Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang
An Explainable Person-Job Fit Model Incorporating Structured Information. IEEE BigData (2021)
Jiangcheng Qin, Baisong Liu
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning. CoRR (2020)