陈蕾，女，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，研究方向：商务智能、人工智能、推荐系统。近年来在ACM TKDD、ACM TWEB、ACM TIST、ACM TSAS、KAIS、KBS、ESWA等高水平期刊发表学术论文十余篇，获得国家发明专利2项，软件著作权2项。主持国家自然科学基金1项、江苏省高校自然科学基金1项。
陈蕾
Email:leichen@njfu.edu.cn
办公电话:
研究领域：商务智能；人工智能；推荐系统
职务:
系科:软件工程系
个人简历：
论文和专著：
部分研究成果：
[1] 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.
[2] 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): 1-21.
[3] 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.
[4] 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. DOI: 10.1145/3641277.
[5] Guixiang Zhu, Jie Cao, Lei Chen, Youquan Wang, Zhan Bu, Shuxin Yang, Jianqing Wu, Zhiping Wang. A multi-task graph neural network with variational graph auto-encoders for session-based travel packages recommendation[J]. ACM Transactions on the Web , 2023, 17(3): 1-30.
[6] Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang.Crime prediction with missing data via spatiotemporal regularized tensor decomposition. IEEE Transactions on Big Data, 2023, 9(5):1392-1407.
科研项目：
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
教授课程：
机器学习；数据挖掘