Yanpeng Qu (曲衍鹏)
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  • I am an Associate Professor with the Department of Intelligence Science and Technology at Dalian Maritime University, China. Currently, I was also holding a Ser Cymru II COFUND research fellow position with the Department of Computer Science at Aberystwyth University. I received my Ph.D. degree in Computational Mathematics from Dalian University of Technology, China. I’ve been investigating the utility of granular computing, neural networks to the problems of feature extraction, dimensionality reduction, classification, etc. and real-world applications of such techniques for intelligent decision support, such as computer aided diagnosis.
  • National Natural Science Foundation of China, Grant No. 61502068, 2015, PI
    China Postdoctoral Science Foundation Special Financial Grant, Grant No. 2015T80239, 2015, PI
    The Royal Society International Exchanges Cost Share Award with NSFC, IE160875, 2017, Co-I
    The Innovation Support Plan for Dalian High-level Talents, No. 2018RQ70, 2018, PI
    China Postdoctoral Science Foundation, Grant No. 2013M541213, 2013, PI
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    Yanpeng Qu, Qilin Fu, Changjing Shang, Ansheng Deng, Reyer Zwiggelaar, Minu George, Qiang Shen, Fuzzy-rough assisted refinement of image processing procedure for mammographic risk assessment, Applied Soft Computing, 2020: 106230.
    http://yanpengqu.cn/upload/1585450525.pdf
    2020-03-29 11:03:47
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    Zheming Zuo, Longzhi Yang, Yonghuai Liu, Fei Chao, Ran Song, Yanpeng Qu, Histogram of fuzzy local spatio-temporal descriptors for video action recognition, IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 4059-4067, 2020.
    http://yanpengqu.cn/upload/1575685555.pdf
    2020-03-29 11:11:53
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    Yanpeng Qu, Guanli Yue, Changjing Shang, Longzhi Yang, Reyer Zwiggelaar, Qiang Shen, Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection, Artificial Intelligence in Medicine, 2019, 100: 101722.
    http://yanpengqu.cn/upload/1575682830.pdf
    2020-03-29 11:19:22
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    Yanpeng Qu, Rong Li, Ansheng Deng, Changjing Shang, Qiang Shen, Non-unique Decision Differential Entropy-based Feature Selection, Neurocomputing, in press, 2019.
    http://yanpengqu.cn/upload/1575682723.pdf
    2019-12-07 09:38:43
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    Atlas Khan, Yanpeng Qu, Zhengxue Li, Convergence analysis of a new MaxMin-SOMO algorithm, International Journal of Automation and Computing, vol. 16, no. 4, pp 534–542 ,2019.
    http://yanpengqu.cn/upload/1575618833.pdf
    2019-12-06 17:13:48
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    Jie Li, Longzhi Yang, Yanpeng Qu, Graham Sexton, An extended Takagi–Sugeno–Kang inference system (TSK+) with fuzzy interpolation and its rule base generation, Soft Computing, vol. 22, no. 10, pp 3155–3170, 2018.
    http://yanpengqu.cn/upload/1550542878.pdf
    2019-12-06 17:14:09
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    Yanpeng Qu, Changjing Shang, Neil Mac Parthaláin, Qiang Shen, Multi-functional nearest-neighbour classification, Soft Computing, vol. 22, pp. 2717–2730, 2018.
    http://yanpengqu.cn/upload/1550541576.pdf
    2019-12-06 17:17:18
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    Yanpeng Qu, Local coupled extreme learning machine, Neural Computing and Applications, vol. 27, no. 1, pp. 27-33, 2016.
    http://yanpengqu.cn/upload/1550478958.pdf
    2019-12-06 17:22:30
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    Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu, Kernel-based fuzzy-rough nearest-neighbour classification for mammographic risk analysis, International Journal of Fuzzy Systems, vol. 17, no. 3, pp 471-483, 2015.
    http://yanpengqu.cn/upload/1550478678.pdf
    2019-12-06 17:22:49
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    Yanpeng Qu, Ansheng Deng, The optimisation for local coupled extreme learning machine using differential evolution, Mathematical Problems in Engineering, vol. 2015, Article ID 946292, 9 pages, 2015.
    http://yanpengqu.cn/upload/1550478583.pdf
    2019-12-06 17:25:03
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    Atlas Khan, Zhengxue Li, Wei Wu, Yanpeng Qu, Amir Hussain, Ricardo Vencio, Convergence analysis of a new self organizing map based optimization (SOMO) algorithm, Cognitive Computation, vol. 7, no. 4, pp. 477-486, 2015.
    http://yanpengqu.cn/upload/1550478593.pdf
    2019-12-06 17:24:48
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    Yanpeng Qu, Changjing Shang, Jie Yang, Wei Wu and Qiang Shen, Modified gradient-based learning for local coupled feedforward neural networks with gaussian basis function, Neural Computing and Applications, vol. 22, no. 1, pp. 379-394, 2013.
    http://yanpengqu.cn/upload/1550476180.pdf
    2019-12-06 17:24:09
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    Yanpeng Qu, Qiang Shen, Neil Mac Parthaláin, Changjing Shang and Wei Wu, Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels, International Journal of Approximate Reasoning, vol. 54, no. 1, pp. 184-195, 2013.
    http://yanpengqu.cn/upload/1550459884.pdf
    2019-12-06 17:23:52
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    Yanpeng Qu, Changjing Shang, Wei Wu and Qiang Shen, Evolutionary fuzzy extreme learning machine for mammographic risk analysis, International Journal of Fuzzy Systems, vol. 13, no. 4, pp. 282-291, 2011.
    http://yanpengqu.cn/upload/1550459731.pdf
    2019-12-06 17:23:04
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  • MLFRFS(Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection)
    MFNN (Multi-functional nearest-neighbour classification)
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    Dalian Maritime University: yanpengqu@dlmu.edu.cn

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