Lei Chen

According to our database, Lei Chen authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

Partial Multi-Label Learning via Exploiting Instance and Label Correlations.

Weichao Liang, Guangliang Gao, Lei Chen, Youquan Wang

ACM Trans. Knowl. Discov. Data, January, 2025

Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition.

Weichao Liang, Fengmao Lv, Lei Chen, Haicheng Tao, Min Shi, Xingquan Zhu, Jie Cao

IEEE Trans. Inf. Forensics Secur., 2025

Multi-objective optimization approach for permanent magnet machine via improved soft actor-critic based on deep reinforcement learning.

Chen Wang, Tianyu Dong, Lei Chen, Guixiang Zhu, Yihan Chen

Expert Syst. Appl., 2025

Self-supervised contrastive learning for itinerary recommendation.

Lei Chen, Guixiang Zhu

Expert Syst. Appl., 2025

2024

Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation.

Lei Chen, Jie Cao, Weichao Liang, Qiaolin Ye

ACM Trans. Spatial Algorithms Syst., September, 2024

Balanced influence maximization in social networks based on deep reinforcement learning.

Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, Lei Chen, Weiping Qin, Youquan Wang

Neural Networks, January, 2024

Black-box attacks on dynamic graphs via adversarial topology perturbations.

Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun, Yong Shi, Xingquan Zhu

Neural Networks, 2024

Keywords-enhanced Contrastive Learning Model for travel recommendation.

Lei Chen, Guixiang Zhu, Weichao Liang, Jie Cao, Yihan Chen

Inf. Process. Manag., 2024

Temporal Preference and Knowledge-Aware Collaborative Attentive Network for Electrical Material Recommendation.

Jie Shen, Lei Chen, Guixiang Zhu, Jie Cao, Weiping Qin, Yihan Chen, Yiheng Lu

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

2023

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.

Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang

IEEE Trans. Big Data, October, 2023

Multi-objective reinforcement learning approach for trip recommendation.

Lei Chen, Guixiang Zhu, Weichao Liang, Youquan Wang

Expert Syst. Appl., September, 2023

A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation.

Guixiang Zhu, Jie Cao, Lei Chen, Youquan Wang, Zhan Bu, Shuxin Yang, Jianqing Wu, Zhiping Wang

ACM Trans. Web, August, 2023

Trip Reinforcement Recommendation with Graph-based Representation Learning.

Lei Chen, Jie Cao, Haicheng Tao, Jia Wu

ACM Trans. Knowl. Discov. Data, May, 2023

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation.

Lei Chen, Jie Cao, Weichao Liang, Jia Wu, Qiaolin Ye

ACM Trans. Web, February, 2023

2022

Multi-view Graph Attention Network for Travel Recommendation.

Lei Chen, Jie Cao, Youquan Wang, Weichao Liang, Guixiang Zhu

Expert Syst. Appl., 2022

2021

A multi-task learning approach for improving travel recommendation with keywords generation.

Lei Chen, Jie Cao, Guixiang Zhu, Youquan Wang, Weichao Liang

Knowl. Based Syst., 2021

Attentive multi-task learning for group itinerary recommendation.

Lei Chen, Jie Cao, Huanhuan Chen, Weichao Liang, Haicheng Tao, Guixiang Zhu

Knowl. Inf. Syst., 2021

2020

Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization.

Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge

ACM Trans. Intell. Syst. Technol., 2020

Personalized itinerary recommendation: Deep and collaborative learning with textual information.

Lei Chen, Lu Zhang, Shanshan Cao, Zhiang Wu, Jie Cao

Expert Syst. Appl., 2020