陳泯融，工學博士，華南師範大學計算機學院教授，博士生導師。
基本介紹
- 中文名：陳泯融
- 國籍：中國
- 民族：漢
- 畢業院校：上海交通大學
- 職業：教師
個人簡介,研究興趣,學術活動,所獲榮譽,
個人簡介
華南師範大學計算機學院教授，博士生導師。主要研究計算智慧型算法（包括進化算法和多目標最佳化算法及其套用）、信息安全、機器學習、區塊鏈+AI技術、模式識別、數據挖掘等領域。2008年畢業於上海交通大學，獲工學博士學位，博士期間師從呂勇哉教授(國際自動控制聯合會（IFAC）前主席、IEEE Fellow)。2000年和2004年分別獲華南理工大學學士、碩士學位。2008年~2015年任教於深圳大學信息工程學院，2015年至今任教於華南師範大學計算機學院。主持了三項國家自然科學基金項目（兩個面上項目和一個青年基金項目）和一項深圳市基礎研究計畫項目。在著名國際期刊和國際會議上發表了60多篇學術論文（其中SCI一區論文20多篇，2篇ESI高被引論文），論文被中科院院士、ACM Fellow、IEEE Fellow、IFAC Fellow在內的國際知名學者SCI引用2000多次。合作撰寫了一部英文學術專著《Extremal Optmization: Fundamentals, Algorithms, and Applications》，獲得兩項國家發明專利授權。參與獲得廣東省自然科學獎（一等獎）等獎勵。2015年3月-2016年2月曾作為國家公派訪問學者到美國紐約州立大學布法羅分校計算機系進行學術訪問一年。目前擔任《Information Sciences》、《Applied Soft Computing》《European Journal of Operational Research》、《Expert Systems with Applications》等多個國際知名期刊的審稿人。
研究興趣
計算智慧型與信息安全
學術活動
在著名國際期刊和國際會議上發表了60多篇學術論文（其中SCI一區論文20多篇，2篇ESI高被引論文），論文被中科院院士、ACM Fellow、IEEE Fellow、IFAC Fellow在內的國際知名學者SCI引用2000多次。
1.Min-Rong Chen, Guo-Qiang Zeng, Kang-DiLu, Jian Weng. A two-layer nonlinear combination method for short-term windspeed prediction based on ELM, ENN and LSTM, IEEE Internet of Things Journal, 6(4): 6997-7010, 2019. (中科院SCI一區,ESI高被引論文,SCI被引136次,Google Scholar被引159次)
2.MR Chen, X Li, X Zhang, YZ Lu. Anovel particle swarm optimizer hybridized with extremal optimization. AppliedSoft Computing, 10 (2): 367-373, 2010(JCR一區，SCI被引107次,Google Scholar被引163次)
3.Guo-Qiang Zeng, Xiao-Qing Xie, Min-Rong Chen, Jian Weng. Adaptive population extremaloptimization-based PID neural network for multivariable nonlinear controlsystems.Swarm and evolutionarycomputation, 44, 320-334. (中科院SCI一區, ESI高被引論文,SCI被引145次,Google Scholar被引177次)
4.MR Chen, YZ Lu. A novel elitistmultiobjective optimization algorithm: Multiobjective extremal optimization.European Journal of Operational Research, 188 (3): 637-651, 2008 (JCR一區，SCI被引62次,Google Scholar被引106次)
5.Min-Rong Chen, Guo-Qiang Zeng, Kang-DiLu. Constrained multi-objective population extremal optimization basedeconomic-emission dispatch incorporating renewable energy resources, Renewable Energy, 2019, 143: 277-294. (中科院SCI一區, SCI被引55次，Google Scholar被引69次)
6.Min-Rong Chen, Guo-Qiang Zeng, Kang-DiLu. A many-objective population extremal optimization algorithm with anadaptive hybrid mutation operation,Information Sciences, 2019, 498: 62-90.(中科院SCI一區, SCI被引33次, Google Scholar被引39次)
7.GQ Zeng, J Chen, YX Dai, LM Li, CW Zheng, MR Chen. Design of fractional order PIDcontroller for automatic regulator voltage system based on multi-objectiveextremal optimization. Neurocomputing, Vol.160, pp.173-184, 2015 (中科院SCI二區, SCI被引209次,Google Scholar引用270次)
8.Min-Rong Chen, Jun-Han Chen, Guo-QiangZeng, Kang-Di Lu, Xin-Fa Jiang. An improved artificial bee colony algorithmcombined with extremal optimization and Boltzmann selection probability, Swarm and Evolutionary Computation,2019, 49:158-177. (中科院SCI一區, SCI被引29次，Google Scholar被引37次)
9.Jin-Hua Chen, Min-RongChen*, Guo-Qiang Zeng, Jia-Si Weng. BDFL: A Byzantine-fault-tolerancedecentralized federated learning method for autonomous Vehicles. IEEE Transactions on Vehicular Technology,70 (9),2021. （通訊作者, JCR 一區, SCI被引11次,Google Scholar被引25次）
10. Min-Rong Chen,Yi-Yuan Huang, Guo-Qiang Zeng,Kang-Di Lu, Liu-Qing Yang. An improved bat algorithm hybridized with extremaloptimization and Boltzmann selection.Expert Systems with Applications, Vol. 175, 114812, 2021. （中科院SCI一區, SCI被引21次，Google Scholar被引25次）
11. X Li, J Luo, MR Chen,N Wang. An improved shuffled frog-leaping algorithm with extremal optimisationfor continuous optimization. Information Sciences, 192(6): 143-151, 2012(中科院SCI一區, SCI被引75次,Google Scholar被引117次)
12. Yong-SenYe, Min-Rong Chen*, Hao-Li Zou, Bai-BingYang, Guo-Qiang Zeng. GID: Global information distillation formedical semantic segmentation, Neurocomputing,Volume 503, 7 September 2022, Pages 248-258（通訊作者，中科院SCI二區）
13. J Weng, MR Chen, YYang, R Deng, K Chen, F Bao. CCA-secure unidirectional proxy re-encryption inthe adaptive corruption model without random oracles, Science China InformationSciences, 53(3): 593-606, 2010（JCR 一區, SCI被引75次,Google Scholar被引106次）
14. GQ Zeng, J Chen, LM Li, MRChen, L Wu, YX Dai, CW Zheng. An improved multi-objective population-basedextremal optimization algorithm with polynomial mutation, Information Sciences330, 49-73, 2016 (中科院SCI一區, SCI被引92次,Google Scholar被引101次)
15. J Luo, Q Liu, Y Yang, X Li, MR Chen, W Cao. An artificial bee colony algorithm formulti-objective optimization. Applied Soft Computing 50, 235-251(JCR一區，SCI被引70次,Google Scholar被引94次)
16. J Luo, X Li, MR Chen,H Liu. A novel hybrid shuffled frog leaping algorithm for vehicle routingproblem with time windows. Information Sciences 316, 266-292,2015(中科院SCI一區, SCI被引66次,Google Scholar被引90次)
17. J Weng, G Yao, RH Deng, MRChen, X Li. Cryptanalysis of a certificateless signcryption scheme in thestandard model. Information Sciences 181 (3), 661-667, 2011(中科院SCI一區, SCI被引53次,Google Scholar被引83次)
18. J Luo, X Li, MR Chen.Hybrid shuffled frog leaping algorithm for energy-efficient dynamicconsolidation of virtual machines in cloud data centers. Expert Systems with Applications41 (13), 5804-5816, 2014(JCR 一區，SCI被引56次,Google Scholar被引78次)
19. X Zhang, W Luo, G Zeng, J Weng, Y Yang, M Chen, X Tan. Ahybrid universal blind quantum computation. Information Sciences 498, 135-143,2019（中科院SCI一區，SCI被引4次,Google Scholar被引8次）
20. J Luo, Y Yang, Q Liu, X Li, M Chen, K Gao. A new hybrid memetic multi-objective optimizationalgorithm for multi-objective optimization. Information Sciences 448, 164-186,2018(中科院SCI一區, SCI被引24次,Google Scholar被引29次)
21. Y Mao, J Li, MR Chen,J Liu, C Xie, Y Zhan. Fully secure fuzzy identity-based encryption for secureIoT communications. Computer Standards & Interfaces 44, 117-121, 2016(JCR 一區，SCI被引24次,Google Scholar被引54次)
22. J Luo, Y Yang, X Li, Q Liu, M Chen, K Gao. A decomposition-based multi-objective evolutionaryalgorithm with quality indicator. Swarm and evolutionary computation 39,339-355, 2018 (中科院SCI一區, SCI被引20次,Google Scholar被引32次)
23. J Luo, MR Chen.Multi-phase modified shuffled frog leaping algorithm with extremal optimizationfor the MDVRP and the MDVRPTW. Computers & Industrial Engineering 72,84-97, 2014(JCR 一區，SCI被引28次,Google Scholar被引45次)
24. LM Li, KD Lu, GQ Zeng, L Wu, MR Chen. A novel real-coded population-based extremal optimizationalgorithm with polynomial mutation: A non-parametric statistical study oncontinuous optimization problems. Neurocomputing 174, 577-587, 2016(中科院SCI二區, SCI被引60次,Google Scholar被引74次)
25. GQ Zeng, KD Lu, YX Dai, ZJ Zhang, MR Chen, CW Zheng, D Wu. Binary-coded extremal optimization for thedesign of PID controllers. Neurocomputing 138, 180-188, 2014(中科院SCI二區, SCI被引71次,Google Scholar被引87次)
26. J Luo, MR Chen.Improved shuffled frog leaping algorithm and its multi-phase model formulti-depot vehicle routing problem. Expert Systems with Applications 41 (5),2535-2545, 2014(SCI被引48次,Google Scholar被引69次)
27. GQ Zeng, J Chen, MRChen, YX Dai, LM Li, KD Lu, CW Zheng. Design of multivariable PIDcontrollers using real-coded population-based extremal optimization.Neurocomputing 151, 1343-1353, 2015(中科院SCI二區, SCI被引46次,Google Scholar被引62次)
28. GQ Zeng, XQ Xie, MRChen. An adaptive model predictive load frequency control method formulti-area interconnected power systems with photovoltaic generations. Energies10 (11), 1840, 2017(中科院SCI四區, JCR三區, SCI被引27次,Google Scholar被引49次)
29. Min-Rong Chen, Bi-Peng Chen, Guo-QiangZeng, Kang-Di Lu, Ping Chu. An adaptive fractional-order BP neural networkbased on extremal optimization for handwritten digits recognition, Neurocomputing, 391 (2020) 260–272. (中科院SCI二區, SCI被引16次，Google Scholar被引42次)
30. MR Chen, YZ Lu, G Yang.Multiobjective optimization using population-based extremal optimization.Neural Computing and Applications 17, 101-109, 2008(中科院SCI三區，SCI被引25次,Google Scholar被引39次)
31. Min-Rong Chen, Guo-Qiang Zeng,Xiao-Qing Xie. Population extremal optimization-based extended distributedmodel predictive load frequency control of multi-area interconnected powersystems, Journal of The FranklinInstitute –Engineering and Applied Mathematics, 2018, 355: 8266-8295. (中科院SCI二區, SCI被引28次，Google Scholar被引37次)
32. 14. Min-Rong Chen,Guo-Qiang Zeng, Yu-Xing Dai, Kang-Di Lu, Da-Qiang Bi. Fractional-order modelpredictive frequency control of an islanded microgrid, Energies, 2019, 12: 84. (中科院SCI四區, JCR三區, SCI被引26次, Google Scholar被引35次)
33. MR Chen, H Wang, GQ Zeng, YX Dai, DQ Bi. Optimal PQ controlof grid-connected inverters in a microgrid based on adaptive populationextremal optimization. Energies 11 (8), 2108（中科院SCI四區, JCR三區, SCI被引次,Google Scholar被引16次）
34. Jian-Wen Xiang, Min-Rong Chen*, Pei-Shan Li, Hao-LiZou, Shi-Da Li and Jun-jie Huang. TransMCGC: A Recast Vision Transformer forSmall-Scale Image Classification Tasks, Neural Computing and Applications,2022（通訊作者，中科院SCI三區）
35. Hai-LinZhang, Min-Rong Chen*, Pei-Shan Li, Jun-Jie Huang. An improvedHarris Hawks optimizer combined with extremal optimization, International Journal of Machine Learning and Cybernetics, 2022,10. (通訊作者，中科院SCI三區)
36. Min-RongChen, Liu-Qing Yang,Guo-Qiang Zeng, Kang-Di Lu, Yi-Yuan Huang, IFA-EO: An improved fireflyalgorithm hybridized with extremal optimization for continuous unconstrainedoptimization problems，Soft Computing, 2022年10月. (中科院SCI三區)
37. Min-Rong Chen, Huan Wang, Guo-QiangZeng, Yu-Xing Dai, Da-Qiang Bi. Optimal P-Q control of grid-connected invertersin a microgrid based on adaptive population extremal optimization, Energies, 2018, 11(8): 2107. (中科院SCI四區, JCR三區, SCI被引11次, Google Scholar被引16次)
所獲榮譽
2022年1月15日，陳泯融參與的《複雜用戶環境下數據安全理論與方法》項目2021年度廣東省自然科學獎擬獎項目公示名單。
