Jiangcheng Qin

According to our database, Jiangcheng Qin authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Federated cross-domain CTR prediction with triple-view contrastive learning and LLM augmentation.

Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian, Yangyang Wang

Inf. Process. Manag., 2026

2025

Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation.

Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian, Yangyang Wang

CoRR, March, 2025

2023

Sequential POI Recommend Based on Personalized Federated Learning.

Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang

Neural Process. Lett., December, 2023

A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model.

Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian

J. Cloud Comput., December, 2023

Revisiting Data Poisoning Attacks on Deep Learning Based Recommender Systems.

Zhiye Wang, Baisong Liu, Chennan Lin, Xueyuan Zhang, Ce Hu, Jiangcheng Qin, Linze Luo

Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022

Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation.

Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian

CoRR, 2022

Exploiting high-order behaviour patterns for cross-domain sequential recommendation.

Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian

Connect. Sci., 2022

FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System.

Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian

Proceedings of the International Joint Conference on Neural Networks, 2022

Ranking-based Federated POI Recommendation with Geographic Effect.

Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning.

Jiangcheng Qin, Baisong Liu, Jiangbo Qian

Proceedings of the ICSIM 2021: 2021 The 4th International Conference on Software Engineering and Information Management, 2021

An Explainable Person-Job Fit Model Incorporating Structured Information.

Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Novel Privacy-Preserved Recommender System Framework based on Federated Learning.

Jiangcheng Qin, Baisong Liu

CoRR, 2020