個人簡介：

陳建國，副教授，碩士生導(dǎo)師，必贏3003no1線路檢測中心百人計劃青年學(xué)術(shù)骨干。湖南大學(xué)計算機(jī)科學(xué)與技術(shù)博士，美國伊利諾伊大學(xué)聯(lián)合培養(yǎng)博士，曾任加拿大多倫多大學(xué)博士后，新加坡A*STAR科技研究局研究科學(xué)家。

 

研究方向：

目前主要研究方向是分布式并行計算、分布式人工智能、聯(lián)邦計算、計算機(jī)視覺、圖計算及應(yīng)用。

目前在IEEE-TII、IEEE-TITS、IEEE-TPDS、IEEE-TKDE、IEEE/ACM-TCBB、ACM-TIST、ACM-TCPS等國際著名期刊和會議上發(fā)表學(xué)術(shù)論文50余篇。主持國家自然科學(xué)基金青年項目、博士后國際交流計劃派出項目、廣東省自然科學(xué)基金面上項目、湖南省自然科學(xué)基金青年項目等項目。作為科研骨干先后曾參與國家高技術(shù)研究發(fā)展計劃（863計劃）、國家重點基礎(chǔ)研究發(fā)展計劃（ 973 計劃）等多項科研課題項目。擔(dān)任國際學(xué)術(shù)期刊《International Journal of Embedded Systems》副主編、《Journal of Current Scientific Research》副主編、《Information Sciences》客座編輯、《Neural Computing and Applications》客座編輯，以及多個國際學(xué)術(shù)會議的技術(shù)委員會成員。

 

研究與招生：

在分布式人工智能、聯(lián)邦計算、聯(lián)邦學(xué)習(xí)、計算機(jī)視覺、圖計算，智能無人機(jī)（計算視覺、地圖重建、SLAM）、智慧醫(yī)療（醫(yī)療影像分析、計算生物學(xué)）等方向招收碩士研究生。課題組為科研表現(xiàn)優(yōu)異的同學(xué)提供多種形式的海內(nèi)外高校和科研機(jī)構(gòu)的學(xué)術(shù)交流訪問機(jī)會以及國內(nèi)外各大互聯(lián)網(wǎng)公司的實習(xí)與工作機(jī)會，為優(yōu)秀碩士生提供碩轉(zhuǎn)博銜接培養(yǎng)機(jī)會。

長年招聘博士后崗。歡迎有意報考的同學(xué)通過電子郵件與我取得聯(lián)系。

 

電子郵件：

chenjg33@mail.sysu.edu.cn

 

學(xué)術(shù)期刊征稿：

Mathematics征稿（中科院SCI 3區(qū)），并行與分布式計算理論與應(yīng)用專刊，歡迎投稿!
Special Issue "Parallel and Distributed Computing: Theory and Applications"

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

 

科研項目

  1. 2023-2025, 廣東省自然科學(xué)基金面上項目, 10萬, 主持.
  2. 2021-2023, 國家自然科學(xué)基金青年項目, 24萬, 主持.
  3. 2020-2021, 湖南省自然科學(xué)基金青年項目, 5萬,主持.
  4. 2018-2020, 博士后國際交流計劃派出項目, 30萬, 主持.

 

學(xué)術(shù)論文

[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.

 

授權(quán)專利

  1. 一種基于區(qū)塊鏈和深度學(xué)習(xí)的去中心化分布式VANET系統(tǒng). ZL202010262063X, 中國發(fā)明專利, 2021-09-03
  2. 醫(yī)學(xué)圖像中病癥組織定位方法、裝置與設(shè)備. 2019105604119, 中國發(fā)明專利, 2021-08-17
  3. 計算任務(wù)卸載系統(tǒng)與方法. ZL2019105948003, 中國發(fā)明專利, 2019-05-21
  4. Coflow協(xié)同作業(yè)流調(diào)度感知的數(shù)據(jù)流劃分方法與裝置. ZL2019105948003, 中國發(fā)明專利, 2021-08-17
  5. 半精度壓縮感知采樣方法. ZL201910417842X. 中國發(fā)明專利, 2021-09-07
  6. 設(shè)備體檢報告生成方法、裝置、計算機(jī)設(shè)備和存儲介質(zhì). ZL201910597798, 中國發(fā)明專利, 2020-06-02
  7. 一種基于社區(qū)檢索的影響力社區(qū)搜索方法和系統(tǒng). ZL2019104215734, 中國發(fā)明專利, 2020-12-25
  8. Spark Streaming中間數(shù)據(jù)分區(qū)方法、裝置、計算機(jī)設(shè)備和存儲介質(zhì). ZL2019104380360, 中國發(fā)明專利, 2021-02-26
  9. 一種基于向量化的日志模板提取方法和系統(tǒng). ZL2019104317884, 中國發(fā)明專利, 2020-10-10
  10. 數(shù)據(jù)點組查詢方法、裝置、計算機(jī)設(shè)備和存儲介質(zhì). ZL2019104605580, 中國發(fā)明專利, 2021-07-13

 

著作/教材

  1. 陳建國 編著. 《PHP程序設(shè)計案例教程》. 機(jī)械工業(yè)出版社. 2012
  2. 陳建國 編著. 《C#項目開發(fā)經(jīng)典案例教程》. 浙江大學(xué)出版社. 2014
  3. 陳建國 編著. 《PHP程序設(shè)計案例教程》(第二版). 機(jī)械工業(yè)出版社. 2020
  4. 陳建國 等編著. 《C#.NET項目開發(fā)案例教程》. 清華大學(xué)出版社. 2022
  5. 陳浩, 陳建國等著. 學(xué)術(shù)專著《開放協(xié)同的科技大數(shù)據(jù)匯聚融合與演化分析》. 科學(xué)出版社. 2022

 

學(xué)術(shù)服務(wù)

  1. 《International Journal of Embedded Systems》副主編
  2. 《Journal of Current Scientific Research》副主編
  3. 《Information Sciences》客座編輯
  4. 《Neural Computing and Applications》客座編輯
  5. 《CCF 15th International Conference on Service Science (CCF ICSS 2022) 》國際學(xué)術(shù)會議的發(fā)布主席
  6. 《IEEE International Conference on High Performance Computing and Commnucations (HPCC-2021) 》程序委員