教育背景

2013.9-2017.6，兰州大学信息科学与工程学院，博士

2014.12-2015.11，苏黎世联邦理工学院访问学者

2010.09-2012.06，兰州大学信息科学与工程学院，硕士

2006.09-2010.06，兰州大学信息科学与工程学院，学士

工作履历

2018.01-2021.11，中国石油大学（北京）电子信息工程系，讲师

2022.07-至今，中国石油大学（北京）电子信息工程系，副教授

期间2023.08-2024.08，伦敦大学学院计算机学院访问学者

研究领域

数值模拟、参数反演、机器学习、信息融合、不确定性分析

项目成果

国家重点研发计划子课题：非金属柔性混输管内壁磨损定量化评估关键(2022-2025)

国家自然科学基金课题: 面向地下水动态模拟的神经网络方法研究(2020-2023)

省部级科研基金：基于小波神经网络的多源地震数据分离方法研究(2020-2022)

代表论文

1.Chong Chen, Wei He, Han Zhou, Yaru Xue, Mingda Zhu.A comparative study among machine learning and numerical models for simulating groundwater dynamics in the Heihe River Basin, northwestern China.SCIENTIFIC REPORTS.2020-03-03.10(1).

2.Chong Chen, Xiaoyu Zhu, Xiaobin Kang, Han Zhou.A Deep Learning Algorithm for Groundwater Level Prediction based on Spatial-temporal Attention Mechanism.Proceedings - 2021 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing and International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2021.2021-01-01.p716-723.

3.Chong Chen, Yanbo Xu, Jixuan Zhao, Lulu Chen, Yaru Xue. Combining random forest and graph wavenet for spatial-temporal data prediction. Intelligent and Converged Networks.2022-12-01.3(4).

4.Chong Chen, Hui Zhang, Wenxuan Shi, Wei Zhang, Yaru Xue.A novel paradigm for integrating physics-based numerical and machine learning models: A case study of eco-hydrological model. Environmental Modelling and Software.2023-03-06.163(2023).

5.Chong Chen, Yixuan Dou, Jie Chen, Yaru Xue.A novel neural network training framework with data assimilation. The Journal of Supercomputing.2022-11-01.78.

6.Jingyi Zhao, Yifan Li, Jing Cao, Yutai Gu, Yuanze Wu, Chong Chen, Yingying Wang. An Improved YOLOv5s Model for Building Detection. Electronics. 2024-06-04.

7.谷雨泰、赵京翼、杨腾、陈冲. 基于概率误差的三维室内定位系统最优布站方法. 计算机科学. 2024-06.

8.陈冲、张伟、邢庆辉、豆沂宣.基于数据同化的地下水模型不确定性分析.冰川冻土.2022-12-01.44(6).

9.陈冲、何为、钟田福、王晶.基于孤立森林方法的催化裂化装置排污数据异常识别.西安石油大学学报(自然科学版).2021-07-25.2021年04期:119-126,8.

10.Han Zhou, Chong Chen, Hao Liu, Fei Qin, Huaqing Liang. Proactive Knowledge-Goals Dialogue System Based on Pointer Network. Natural Language Processing and Chinese Computing.2019-09-30.

11.Wei He, Jufeng Li, Zhihe Tang, Beng Wu, Hui Luan, Chong Chen, Huaqing Liang. A Novel Hybrid CNN-LSTM Scheme for Nitrogen Oxide Emission Prediction in FCC Unit. Mathematical Problems in Engineering.2020-01-01.SCI

12.陈冲、闫珠、赵继轩、何为、梁华庆.基于集合经验模态分解和长短期记忆网络的催化裂化装置氮氧化物排放预测.计算机应用.2022-03-10.2022年03期:791-796,6.