陈立潮
近期热点
资料介绍
个人简历
男,1961年3月生,山西万荣人,教授、博士,硕士生导师。2003年毕业于北京理工大学计算机应用技术专业,获工学博士学位。现从事软件工程、大数据技术、人工智能、图像处理与模式识别、计算机应用技术等方面的教学与科研工作。教育背景2018.08—2019.01 英国伯明翰大学 高级访问学者2012.02—2012.08 美国奥本大学 高级访问学者1999.09—2003.03 北京理工大学 计算机应用技术专业1991.08—1992.09 北京外国语大学出国人员培训部进修1985.08—1986.12 合肥工业大学 计算机应用助教班学习1978.03—1981.12 长春光学精密机械学院 光电转换技术专业学习获奖情况(1) 2018年荣获山西省高等学校教学成果一等奖(2) 2017年荣获中国大数据学术创新奖(3) 2017年荣获全国高校大数据教育行业杰出贡献奖(4) 2017年荣获山西省科技创新人物(5) 2016年荣获山西省高等学校教学成果一等奖(6) 2016年荣获中国大数据学术创新奖(7) 2012年荣获山西省高等学校教学成果一等奖(8) 2011年荣获山西省高等学校科技进步二等奖(9) 2010年荣获山西省高等学校科学技术二等奖(10) 2010年荣获优秀硕士学位论文指导教师(11) 2010年荣获太原市人民政府优秀科技项目一等奖(12) 2008年荣获山西省高校科技进步二等奖(13) 2008年荣获山西省高等学校教学成果三等奖研究领域
现从事软件工程、大数据技术、人工智能、图像处理与模式识别、计算机应用技术等方面的教学与科研工作近期论文
[1] Lichao Chen, Lihu Pan, Chunxia Yang,Using APPM-trained ANN To Solve Stochastic Expected Value Model, International Journal of Bio- inspired Computation,2013, 5(3):192-196.(SCI)[2] Lichao Chen, Yaopeng Ren, Yinjun Zhang, Binhong Xie. A Component Clustering Algorithm Based on the Grade Strategy. The First Annual Cross-strait Conference on Software Technology.Taipei China,2010.3.11-3.14(EI)[3] Qiu Jian-ping# , Chen Lichao. Semantic Web Service Discovery Algorithm Based on Swarm System. First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010( 664-671). Chennai, India. 2010.12.16-12.18(SCI)[4] ShuFang Zhao, LiChao Chen*,Security Early Warning and Intelligence Management of Equipment in Coal mines Based on Network Environment, International Journal on Advances in Information Sciences and Service Sciences, 2013, 5 (8):315-321.(SCI)[5] Yang Chunxia, Chen Lichao*, Cui Zhihua. Solving redundancy optimization problem with social emotional optimization algorithm, International Journal of Computer Applications in Technology, 2012,43(4): 320-326.(SCI)[6] Cao Jianfang, Chen Lichao*, Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images, Computational Intelligence and Neuroscience, 2015: 1-10(SCI)[7] Cao Jianfang*, Chen Lichao, Wang Huijun, Recognition of Chinese Entertainment News Words Using SVM-based Active Learning Strategy, The Open Cybernetics & Systemics Journal, 2014, 8: 474-478(SCI)[8] ShuFang Zhao, LiChao Chen*, Hoisting Equipment of Coal mine Condition Monitoring and Early Warning Based on BP Neural Network, International Journal on Advances in Information Sciences and Service Sciences, 2013, 5 (1):491-496.(EI)[9] Zhang Lei, Chen Lichao,* Pan Lihu, Zhang Yingjun. A novel approach of components retrieval in large-scale component repositories. 3rd International Conference on Software Engineering and Service Science 2012(220-223), Beijing, P.R. China, 2013.6.22-6.24(EI)[10] Zhang Xiaoyan, Chen Lichao*, Pan Lihu, Xiong Lizhi. Study on the image segmentation based on ICA and watershed algorithm. 5th International Conference on Intelligent Computation Technology and Automation 2012(505-508), HongKong,P.R. China, 2012.6.12-6.13(EI)[11] Cao J F, Zhao Q S, Chen L C. The Application of Image Retrieval Technology Based on Visual Features in Agricultural Informatization[J]. Open Cybernetics & Systemics Journal, 2014, 8(1):178-182. (SCI)[12] Cao J F, Chen J J, Chen L C. An image classification algorithm using fuzzy support vector machine[J]. Journal of Chemical & Pharmaceutical Research, 2014, 6(5): 1854-1861. (SCI)[14] Cao J F, Chen J J, Chen L C, et al. An Intelligent Optimization Algorithm for Sentiment Classification of Scene Images in Big Data Era[J]. Sensor Letters, 2014, 12(2): 369-373. (SCI)[15] Cao J F, Chen J J, Chen L C, et al. Automatic semantic annotation by using fuzzy theory for natural images[J]. International Journal of Wireless and Mobile Computing, 2013, 6(4): 383-391. (SCI)[16] Li J, Wang G R, Chen L C. Paired 2-disjoint path covers of multi-dimensional torus networks with 2n-3 faulty edges[J]. Theoretical Computer Science, 2017(677):1-11. (SCI)、[17] 王晓,陈立潮,刘艳红,石云龙,孙勇.纵模对光子晶体中类狄拉克点传输特性的影响[J].物理学报,2015,64(17):149-154.(SCI)[18] 陈立潮,药慧婷,潘理虎.煤矿掘进工作面本体模型智能推理研究[J].煤炭技术,2016,35(03):213-214.[19] 陈立潮,张秀琴,潘理虎,李博.煤矿考勤系统中人脸识别算法的研究[J].工矿自动化,2015,41(04):69-73.[20] 陈立潮,牛玉梅,潘理虎,张秀琴.Snake模型的研究进展[J].计算机应用研究,2014,31(07):1931-1936.标签: 计算机科学与技术学院 太原科技大学
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