个人简介：

陈建国，副教授，硕士生导师，565net必赢客户端百人计划青年学术骨干。湖南大学计算机科学与技术博士，美国伊利诺伊大学联合培养博士，曾任加拿大多伦多大学博士后，新加坡A*STAR科技研究局研究科学家。

 

研究方向：

目前主要研究方向是分布式并行计算、分布式人工智能、联邦计算、计算机视觉、图计算及应用。

目前在IEEE-TII、IEEE-TITS、IEEE-TPDS、IEEE-TKDE、IEEE/ACM-TCBB、ACM-TIST、ACM-TCPS等国际著名期刊和会议上发表学术论文50余篇。主持国家自然科学基金青年项目、博士后国际交流计划派出项目、广东省自然科学基金面上项目、湖南省自然科学基金青年项目等项目。作为科研骨干先后曾参与国家高技术研究发展计划（863计划）、国家重点基础研究发展计划（ 973 计划）等多项科研课题项目。担任国际学术期刊《International Journal of Embedded Systems》副主编、《Journal of Current Scientific Research》副主编、《Information Sciences》客座编辑、《Neural Computing and Applications》客座编辑，以及多个国际学术会议的技术委员会成员。

 

研究与招生：

在分布式人工智能、联邦计算、联邦学习、计算机视觉、图计算，智能无人机（计算视觉、地图重建、SLAM）、智慧医疗（医疗影像分析、计算生物学）等方向招收硕士研究生。课题组为科研表现优异的同学提供多种形式的海内外高校和科研机构的学术交流访问机会以及国内外各大互联网公司的实习与工作机会，为优秀硕士生提供硕转博衔接培养机会。

长年招聘博士后岗。欢迎有意报考的同学通过电子邮件与我取得联系。

 

电子邮件：

chenjg33@mail.sysu.edu.cn

 

学术期刊征稿：

Mathematics征稿（中科院SCI 3区），并行与分布式计算理论与应用专刊，欢迎投稿!
Special Issue "Parallel and Distributed Computing: Theory and Applications"

https://www.mdpi.com/journal/mathematics/special_issues/3GA6ZFCFD4

 

科研项目

  1. 2023-2025, 广东省自然科学基金面上项目, 10万, 主持.
  2. 2021-2023, 国家自然科学基金青年项目, 24万, 主持.
  3. 2020-2021, 湖南省自然科学基金青年项目, 5万,主持.
  4. 2018-2020, 博士后国际交流计划派出项目, 30万, 主持.

 

学术论文

[1]     J. Chen, Q. Deng, X. Yang. Non-cooperative game algorithms for computation offloading in mobile edge computing environments. Journal of Parallel and Distributed Computing (JPDC). 2023, 172: 18-31. (IF: 4.542)

[2]     J. Chen, N. Yang, Y. Pan, H. Liu, Z. Zhang. Synchronous Medical Image Augmentation Framework for Deep Learning-based Image Segmentation. Computerized Medical Imaging and Graphics. 2023, 104: 102161 (IF: 7.422)

[3]     J. Chen, K. Li, P. S. Yu. Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain. IEEE Transactions on Intelligent Transportation Systems (IEEE-TITS), 2022, 23(8): 11633 - 11642 (IF: 6.492)

[4]     J. Chen, X. Yang, S. Leng, R. S. Tan, Z. Zeng, L. Zhong . MANet: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance. IEEE International Conference on Image Processing (ICIP 2022). Accepted. 2022

[5]     J. Chen, N. Yang, M. Zhou, Z. Zhang, X. Yang. A Configurable Deep Learning Framework for Medical Image Analysis. Neural Computing and Application. 2022, 34: 7375–7392 (2022) (IF: 5.606)

[6]     J. Chen, K. Li, Z. Zhang, K. Li , P. S. Yu. A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19. ACM Computing Surveys, 2022, 54(8): No.158, (IF: 10.282)

[7]     J. Chen, P. S. Yu. A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution. IEEE Transactions on Knowledge and Data Engineering (IEEE-TKDE). 2021, 33(6): 2310-2321. (IF: 6.977)

[8]     J. Chen, K. Li, K. Li , P. S. Yu, Z. Zeng. Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System using Gated Graph Neural Network. ACM Transactions on Intelligent Systems and Technology. 2021,12(2): No.25. (IF: 4.654)

[9]     J. Chen, K. Li, S. Yu, K. Li , P. S. Yu. A Coflow-oriented Partitioning Algorithm for Parallel Data Stream Processing in Distributed Computing Environments. Information Sciences. Accepted. 2021 (IF: 5.524)

[10]  J. Chen, K. Li, K. Li , P. S. Yu, Z. Zeng. Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning. ACM Transactions on Cyber-Physical Systems, 2021, 5(4): No. 34, (IF: 0.720)

[11]  J. Chen, K. Li, Q. Deng, K. Li , P. S. Yu. Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing, IEEE Transactions on Industrial Informatics (IEEE-TII), 2019, In Press. DOI: 10.1109/TII.2019.2909473 (IF: 10.215)

[12]  J. Chen, K. Li, Z. Tang , K. Bilal, S. Yu, C. Weng, K. Li . A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment. IEEE Transactions on Parallel and Distributed Systems (IEEE-TPDS). 2017, 28(4): 919-933. (IF: 3.971, Highly Cited)

[13]  J. Chen, K. Li, K. Bilal, X. Zhou, K. Li , P. S. Yu. A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks. IEEE Transactions on Parallel and Distributed Systems (IEEE-TPDS). 2019, 30 (5), 965 - 976. (IF: 2.600)

[14]  J. Chen, K. Li, K. Bilal, A. A. Metwally, K. Li , P. S. Yu. Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018, In Press. DOI: 10.1109/TCBB.2018.2868088, (IF: 2.896)

[15]  J. Chen, K. Li, H. Rong, K. Bilal, K. Li , P. S. Yu. A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments. Information Sciences. 2019, 496, 506-537. (IF: 5.910)

[16]  J. Chen, K. Li, H. Rong, K. Bilal, N. Yang, K. Li . A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing. Information Sciences. 2018, 435:124-149. (IF: 5.524)

[17]  J. Chen, K. Li, Z. Tang , K. Bilal,K. Li . A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment. IEEE ACCESS. 2016,4: 1767-1783. (IF: 3.367)

[18]  J. Peng, K. Li, J. Chen, K. Li . HEA-PAS: A Hybrid Energy Allocation Strategy for Parallel Applications Scheduling on Heterogeneous Computing Systems. Journal of Systems Architecture. 2022, 122: No. 102329 (IF: 2.552)

[19]  K. N. Win, K. Li*, J. Chen*, P. F. Viger, K. Li . Fingerprint Classification and Identification Algorithms for Criminal Investigation: A survey. Future Generation Computer Systems. 2020,110: 758-771. (IF: 7.187)

[20]  X. Liu, L. Yang*, J. Chen*, S. Yu, K. Li . Region-to-boundary Deep Learning Model with Multi-scale Feature Fusion for Medical Image Segmentation. Biomedical Signal Processing and Control. 2021, 27(Part A): 102165. (IF: 3.880)

[21]  J. Peng, K. Li, J. Chen, K. Li . Reliability/Performance-aware Scheduling for Parallel Applications with Energy Constraints on Heterogeneous Computing Systems. IEEE Transactions on Sustainable Computing. 2022, 7(3): 681-695. (IF: 4.908)

[22]  X. Liu, Y. Hu, J. Chen, K. Li . Shape and boundary-aware multi-branch model for semi-supervised medical image segmentation. Computers in Biology and Medicine. 2022, 143. No. 105252 (IF: 6.698)

[23]   B. Pu, Y. Lu, J. Chen, S. Li, N. Zhu, W. Wei, K. Li. MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-chamber Segemation in Edge Computing Environments, IEEE Journal of Biomedical and Health Informatics, 2022. doi: 10.1109/TII.2021.3069470. (IF: 7.021).

[24]  Z. Lei, K. Li, B. Pu, J. Chen, S. Li, X. Liao. An Ultrasound Standard Plane Detection Model of Fetal Head Based on Multi-task Learning and Hybrid Knowledge Graph, Future Generation Computer Systems. 2022, 135: 234-243. (IF: 7.307).

[25]  B. Pu, J. Liu, Y. Kang, J. Chen, P. S. Yu. MVSTT: A Multi-View Spatial-Temporal Transformer Network for Traffic Forecasting, IEEE Transactions on Cybernetics. (IF: 19.118). 2022

[26]  J. Hu, K. Li, C. Liu, J. Chen, K. Li. Coalition formation for deadline-constrained resource procurement in cloud computing. Journal of Parallel and Distributed Computing. 2021, 149:1-12 (IF: 4.542)

[27]  H. Wang, Y. Zeng, J. Chen, Z. Zhao, H. Chen. A Spatiotemporal Graph Neural Network for session-based recommendation. Expert Systems with Applications. 2021, 202, No. 117114 (IF: 8.665)

[28]  Y. Kang, B. Pu, Y. Kou, Y. Yang, J. Chen, M. Hijji. A deep graph network with multiple similarity for user clustering in human–computer interaction. ACM Transactions on Multimedia Computing, Communications and Applications. Accepted. 2022.

[29]   K. N. Win, J. Chen*, Y. Chen, P. F. Viger. PCPD: A Parallel Crime Pattern Discovery System for Large-Scale Spatiotemporal Data Based on Fuzzy Clustering. International Journal of Fuzzy Systems, 2019, 21(6): 1961-1974. (IF: 4.673)

[30]   K. N. Win, J. Chen*, G. Xiao, Y. Chen, P. F. Viger. A Parallel Crime Activity Clustering Algorithm Based on Apache Spark Cloud Computing Platform. IEEE 21st International Conference on High Performance Computing and Communications (HPCC 2019), 2019, 68-74.

[31]   J. Chen, Z. Tang , K. Li,K. Li . Parallel Data Mining and Applications in Hospital Big Data Processing. Big Data Management and Processing. 2017.May. 25 403-424 (Book chapter).

[32]   J. Chen, H. Chen. A Structured Information Extraction Algorithm for Scientific Papers Based on Feature Rules Learning. Journal of Software. 2013,8(1): 55-62.

[33]   J. Chen, M. Lu, X. Ke. Research and Implementation of Web Structure-Based News Gathering System. in Proceedings of the 2011 International Conference on Future Computer Science and Education (ICFCSE'11). 2011: 502-505.

[34]   J. Chen, H. Chen. Study on Method of Web Content Mining for Non-XML Documents. in Proceedings of International Conference on Information Computing and Applications (ICICA'10), 2010: 236-243.

 

授权专利

  1. 一种基于区块链和深度学习的去中心化分布式VANET系统. ZL202010262063X, 中国发明专利, 2021-09-03
  2. 医学图像中病症组织定位方法、装置与设备. 2019105604119, 中国发明专利, 2021-08-17
  3. 计算任务卸载系统与方法. ZL2019105948003, 中国发明专利, 2019-05-21
  4. Coflow协同作业流调度感知的数据流划分方法与装置. ZL2019105948003, 中国发明专利, 2021-08-17
  5. 半精度压缩感知采样方法. ZL201910417842X. 中国发明专利, 2021-09-07
  6. 设备体检报告生成方法、装置、计算机设备和存储介质. ZL201910597798, 中国发明专利, 2020-06-02
  7. 一种基于社区检索的影响力社区搜索方法和系统. ZL2019104215734, 中国发明专利, 2020-12-25
  8. Spark Streaming中间数据分区方法、装置、计算机设备和存储介质. ZL2019104380360, 中国发明专利, 2021-02-26
  9. 一种基于向量化的日志模板提取方法和系统. ZL2019104317884, 中国发明专利, 2020-10-10
  10. 数据点组查询方法、装置、计算机设备和存储介质. ZL2019104605580, 中国发明专利, 2021-07-13

 

著作/教材

  1. 陈建国 编著. 《PHP程序设计案例教程》. 机械工业出版社. 2012
  2. 陈建国 编著. 《C#项目开发经典案例教程》. 浙江大学出版社. 2014
  3. 陈建国 编著. 《PHP程序设计案例教程》(第二版). 机械工业出版社. 2020
  4. 陈建国 等编著. 《C#.NET项目开发案例教程》. 清华大学出版社. 2022
  5. 陈浩, 陈建国等著. 学术专著《开放协同的科技大数据汇聚融合与演化分析》. 科学出版社. 2022

 

学术服务

  1. 《International Journal of Embedded Systems》副主编
  2. 《Journal of Current Scientific Research》副主编
  3. 《Information Sciences》客座编辑
  4. 《Neural Computing and Applications》客座编辑
  5. 《CCF 15th International Conference on Service Science (CCF ICSS 2022) 》国际学术会议的发布主席
  6. 《IEEE International Conference on High Performance Computing and Commnucations (HPCC-2021) 》程序委员