王晨晨，博士，讲师。2025年6月毕业于南开大学太阳成集团tyc522cc，获工学博士学位。2019年6月毕业于安徽大学数学科学学院，获理学学士学位。目前研究工作主要关注于机器学习、特征选择、图结构学习、大小模型协同、时序预测等，近年来在IEEE Transactions on Knowledge and Data Engineering、Pattern Recognition、Knowledge-Based Systems等期刊发表多篇学术论文，担任多个国际期刊、会议的审稿人。

联系方式：wangc@imu.edu.cn;wangc@mail.nankai.edu.cn,

办公地点：太阳成集团tyc522cc301室

主要学术论文：

[1]Chenchen Wang,Mykola Pechenizkiy, Jin-Mao Wei, and Jian Liu. Feature Selection via Dynamic Feature Graph[J]. IEEE Transactions on Knowledge and Data Engineering, 2026, 38(3): 1754-1767. (中科院一区，CCF A类期刊)

[2]Chenchen Wang,Jun Wang, Zhichen Gu, Jin-Mao Wei, Jian Liu. Unsupervised feature selection by learning exponential weights[J]. Pattern Recognition, 2024, 148: 110183.（中科院一区）

[3]Chenchen Wang,Zhichen Gu, Jin-Mao Wei. Spectral clustering and embedding with inter-class topology-preserving[J]. Knowledge-Based Systems, 2024, 284: 111278.（中科院一区）

[4]Zhenyu Wang#,Chenchen Wang#,Jin-Mao Wei, and Jian Liu. Multi-class feature selection by exploring reliable class correlation[J]. Knowledge-Based Systems, 2021, 230: 107377. (共同第一作者，中科院一区）

[5]Chenchen Wang,Jun Wang, Yanfei Li, and Jin-Mao Wei. Discrete Feature Selection via Bi-Level Optimization for Hyperparameter Tuning [C]. International Joint Conference on Neural Networks (IJCNN), IEEE, 2025: 1-8.（CCF C类会议）