陈晓：河北秦皇岛人，燕山大学计算机科学与技术博士，副研究员。2007年至今一直从事数据挖掘、社交网络分析、网络表示学习和人工智能等方面的研究；近年来主要从事海洋大数据分析与挖掘、海洋人工智能和海洋生态灾害等方面的研究，致力于将计算机技术与海洋领域进行融合研究。主持河北省自然基金项目1项，参与完成国家自然科学基金面上项目3项，以及他省市级课题6项。以第一或通讯作者身份发表论文20余篇（SCI检索论文3篇，EI检索论文10余篇），论著如下：

2022年

1. 1. 陈晓, 刘长华, 刘志亮, 王旭, 王春晓, 贾思洋. 2010～2019年北黄海海域长序列海量温盐数据分析与处理方法[J]. 海洋与湖沼, 2022, 53(1): 49-61.

2. 2. Xiao Chen, Ying Wang, Hui Dong, Xiao Pan and Jia Li. Network Representation Learning based on Random Walk of Connection Number[J]. International Journal of Innovative Computing, Information and Control, 2022, 18(3): 883–900. （EI检索：20221912101624）

3. 3. Chen Xiao, Hao Tong, Han Li, Leng Meng, Chen Jing, Guo Jingfeng. Heterogeneous Network Embedding Based on Random Walks of Type and Inner Constraint[J].  Mathematics,  2022, 10, 2623. （SCI检索: WOS:000839922300001）

2021年

1. 1. 陈晓, 刘志亮, 王旭, 薛力园, 袁晓博. 秦皇岛海域海月水母碟状体分布与环境因子关系的多粒度分析[J]. 海洋通报, 2021, 40(6):694-708.

2. 2. 薛力园, 刘志亮, 宋伟, 安颖, 袁晓博, 陈晓. 秦皇岛海域春季海月水母碟状幼体空间分布及其与海洋环境因子的关系[J]. 生态环境学报, 2021, 30(6): 1240-1248.

3. 3. 袁晓博, 刘志亮, 薛力园, 陈晓, 安颖. 秦皇岛海域水母灾害发生规律及研究进展[J]. 河北渔业, 2021(6): 12-17.

2020年

1. 1. 郭景峰, 董慧, 张庭玮, 陈晓. 主题关注网络的表示学习. 计算机应用. 2020, 40(2): 441-447.

2. 2. 郭景峰, 陈晓, 张春英. 复杂网络建模理论与应用. 北京: 科学出版社, 2020.

2019年及以前

1. 1. CHEN Xiao, GUO JingFeng, etc. Link Prediction in Signed Networks Based on Connection Degree[J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10(5): 1747-1757. (SCI检索: WOS:00046315140008)

2. 2. Xiao Chen, Li Han, Meng Leng, and Xiao Pan. Similarity based on the importance of common features in random forest. International Journal of Performability Engineering. 2019, 15(4): 1171-1180. (EI检索: 20192106955609)

3. 3. Xiao Chen, Xinzhuan Hu, Xiao Pan, and Jingfeng Guo. Dynamic community mining based on behavior prediction. International Journal of Performability Engineering, 2018, 14(7): 1590-1599. (EI检索: 20183705793695)

4. 4. CHEN Xiao, GUO Jing-Feng, Feng-Chun Liu, Chun-Ying Zhang. Study On Similarity Based on Connection Degree in Social Network. Cluster Computing, 2017, 20(1):167-178. (SCI检索: WOS:000397969100015)

5. 5. Xiao Chen, Jingfeng Guo, Kelun Tian, Chaozhi Fan, Xiao Pan. A Study on the Influence Propagation Model in Topic Attention Networks[J]. International Journal of Performability Engineering, 2017, 13(5):721-730. (EI检索: 20173804172616)

6. 6. Xiao Chen, Jingfeng Guo, Junli Yu. Research on Community Discovery in Social Network Based on Connection Degree. ICIC Express Letters, ICIC Express Letters, 2017, 11(2): 437-444.

7. 7. 陈晓, 郭景峰, 张春英. 社会网络顶点间相似性度量及其应用. 计算机科学与探索. 2017, 11(10): 1629-1641.

8. 8. 陈晓, 郭景峰. 基于联系度的主题关注网络社区发现方法研究. 计算机工程与应用. 2017, 53(17): 85-93.

9. 9. 陈晓, 郭景峰, 刘凤春. 一种改进Shapley值的符号网络聚类研究. 小型微型计算机系统. 2016, 37(11): 2448-2453.

10. 10. Jingfeng GUO, Xiao CHEN, Chaozhi FAN, Xinzhuan HU. A Novel Hierarchical Clustering Method in Signed Social Network. Journal of Computational Information Systems. 2015, 11(21): 7865-7872. (EI检索: 20155101706653)

11. 11. Jingfeng Guo, Xiao Chen, Junli Yu, Chaozhi Fan, and Miaomiao Liu. Research of Community Partition Based on the Modularity in Signed Network. The Second International Conference on Data Science, ICDS 2015 Sydney, Australia, August 8-9, 2015. Notes in Computer Science 2015, 9208: 25-29. (SCI检索: WOS:000366018100004)

12. 12. Xiao Chen, XinRun Du, Junli Yu, Jingfeng Guo, etc. Research of Community Mining in Signed Social Network Based on Game Theory. International Journal of Innovative Computing, Information and Control. 2014, 10(6): 2221-2235. (EI检索: 20150900575073)

13. 13. 陈晓, 刘凤春, 李建晶, 张准. 一种新的自顶向下挖掘最大频繁子图的算法研究. 计算机工程与科学. 2013, 4(35): 157-162.

14. 14. Chen Xiao, Yu, Junli, Guo, Jingfeng. A novel approach of top-down mining frequent closegraph. ICIC Express Letters, Part B: Applications. 2012, 3(2): 475-480. (EI检索: 20122115047964)

15. 15. Chen Xiao, Zhang Chunying, Liu Fengchun, Guo Jingfeng. Algorithm Research of Top-Down Mining Maximal Frequent SubGraph Based on Tree Structure. LNICST. 2012, 2(1): 401-411. (EI检索: 20122515124026)