Jinwei Luo

According to our database, Jinwei Luo authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Sample enrichment via temporary operations on subsequences for sequential recommendation.

Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Hongcheng Fu, Zhong Ming

Knowl. Inf. Syst., December, 2026

2025

Dual-stage scoring via task decoupling and fine-grained preference learning for side-information integrated sequential recommendation.

Xiaolin Lin, Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming

Knowl. Inf. Syst., December, 2025

Iterative Sparse Attention for Long-sequence Recommendation.

Guanyu Lin, Jinwei Luo, Yinfeng Li, Chen Gao, Qun Luo, Depeng Jin

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

2024

Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation.

Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming

CoRR, 2024

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.

Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation.

Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming

Frontiers Comput. Sci., October, 2023

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

IEEE Trans. Knowl. Data Eng., August, 2023

FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation.

Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming

ACM Trans. Intell. Syst. Technol., February, 2023

Cascaded Cross Attention for Review-based Sequential Recommendation.

Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

User-Event Graph Embedding Learning for Context-Aware Recommendation.

Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Dual-Task Learning for Multi-Behavior Sequential Recommendation.

Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022