陈蕾，南京林业大学信息科学技术学院、人工智能学院，工学博士，硕士生导师。主要研究方向为商务智能、人工智能、推荐系统，具体包括：多源知识融合与用户偏好挖掘、用户行为建模与序列推荐、推荐系统的公平性与可解释性。近年来，在 ACM TKDD、ACM TWEB、ACM TIST、ACM TSAS、KAIS、KBS、ESWA 等高水平国际期刊发表学术论文十余篇，获国家发明专利2项、软件著作权6项。主持国家自然科学基金项目、江苏省高校自然科学基金项目各1项。担任 IPM、KBS、ESWA、EAAI、ASOC、Information Sciences和Neurocomputing 等国际期刊审稿人。

部分论文：

[1] Lei Chen, Xiaoping Zhu, Guixiang Zhu. Exploiting attributes and keywords for session-based recommendation with multi-view graph neural network[J]. Expert Systems with Applications, 2026: 128990. (SCI一区TOP)

[2] Lei Chen, Weichao Liang. Disentangling multi-factor effects via graph contrastive learning for travel recommendation [J]. Applied Soft Computing, 2026: 114095. (SCI二区)

[3] Lei Chen, Guixiang Zhu. Self-supervised contrastive learning for itinerary recommendation[J]. Expert Systems with Applications, 2025, 268: 126246. (SCI一区TOP）

[4] Weichao Liang, Fengmao Lv, Lei Chen, Haicheng Tao, Min Shi Xingquan Zhu, Jie cao. Citywide multi-step crime prediction via context-aware bayesian tensor decomposition[J]. IEEE Transactions on Information Forensics and Security, 2025. (CCF A).

[5] Lei Chen, Guixiang Zhu, Weichao Liang, Jie Cao, Yihan Chen. Keywords-enhanced contrastive learning model for travel recommendation[J]. Information Processing & Management, 2024, 61(6): 103874. (SCI/SSCI一区TOP)

[6] Lei Chen, Jie Cao, Weichao Liang, Qiaolin Ye. Geography-aware heterogeneous graph contrastive learning for travel recommendation[J]. ACM Transactions on Spatial Algorithms and Systems, 2024, 10(3): 1-22.

[7]  Haicheng Tao, Jie Cao, Lei Chen, Hongliang Sun, Yong Shi, Xingquan Zhu. Black-box attacks on dynamic graphs via adversarial topology perturbations[J]. Neural Networks , 2024, 171: 308-319. (CCF B)

[8] Weichao Liang, Guangliang Gao, Lei Chen, Youquan Wang. Partial multi-label learning via exploiting instance and label correlations[J]. ACM Transactions on Knowledge Discovery from Data, 2024, 19(1): 1-22. (CCF B)

[9] Lei Chen, Jie Cao, Haicheng Tao, Jia Wu. Trip reinforcement recommendation with graph-based representation learning[J]. ACM Transactions on Knowledge Discovery from Data, 2023, 17(4): 1-20. (CCF B)

[10] Lei Chen, Jie Cao, Weichao Liang, Jia Wu, Qiaolin Ye. Keywords-enhanced deep reinforcement learning model for travel recommendation[J]. ACM Transactions on the Web, 2023, 17(1). (CCF B)

[11] Lei Chen, Guixiang Zhu, Weichao Liang, Youquan Wang. Multi-objective reinforcement learning approach for trip recommendation [J]. Expert Systems with Applications, 2023, 226: 120145. (SCI一区TOP)

[12] Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti. Crime prediction with missing data via spatiotemporal regularized tensor decomposition[J]. IEEE Transactions on Big Data, 2023, 9(5): 1392-1407.

[13] Lei Chen, Jie Cao, Huanhuan Chen, Weichao Liang, Haicheng Tao, Guixiang Zhu. Attentive multi-task learning for group itinerary recommendation[J]. Knowledge and Information Systems, 2021,63:1687-1716. (CCF B)

[14] Lei Chen, Jie Cao, Guixiang Zhu, Youquan Wang, Weichao Liang. A multi-task learning approach for improving travel recommendation with keywords generation[J]. Knowledge-Based Systems, 2021, 233: 107521. (SCI一区TOP)

[15] Lei Chen, Jie Cao, Youquan Wang, Weichao Liang, Guixiang Zhu. Multi-view graph attention network for travel recommendation[J]. Expert Systems with Applications , 2021: 116234. (SCI一区TOP)

[16] Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge. Travel recommendation via fusing multi-auxiliary information into matrix factorization[J]. ACM Transactions on Intelligent Systems and Technology, 2020, 11(2): 1-24.

[17] Lei Chen, Lu Zhang, Shanshan Cao, Zhiang Wu, Jie Cao. Personalized itinerary recommendation: Deep and collaborative learning with textual information[J]. Expert Systems with Applications, 2020, 144: 113070. (SCI一区TOP)

部分专利：

[1] 曹杰; 陈蕾; 申冬琴; 王有权; 陶海成; 朱桂祥. 基于注意力机制的群体旅游路线推荐方法. 2024-5-24, 中国, CN112149010B

[2] 曹杰; 郭翔; 丁达; 陈蕾; 一种基于特征学习和图推理的恶意用户检测方法, 2023-10-17, 中国, ZL202110861596.4

[3] 曹杰; 陈蕾; 申冬琴; 蒋聚; 王煜尧; 一种融合关键词生成的推荐方法, 2022-09-27, 中国, ZL202110506393.3

1. 国家自然科学基金，青年项目，主持，2024

2. 江苏省高校自然科学基金，面上项目，主持，2023

自然语言处理；现代人工智能