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  • Welcome to collaborative innovation center of steel technology !
    Tutor introduced
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    Tutor introduced

      Ke Xu   

    Ke Xu received the B.S. degree in Mechanical Engineering from University of Science and Technology Beijing in 1993, and the Ph.D degree in Mechanical Engineering from University of Science and Technology Beijing in 1998.

    Ke Xu received the B.S. degree in Mechanical Engineering from University of Science and Technology Beijing in 1993, and the Ph.D degree in Mechanical Engineering from University of Science and Technology Beijing in 1998. From 1998 to 2000, he was a post-doctorial researcher in University of Science and Technology Beijing and RWTH-Aachen, Germany. Currently he is a professor at the Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing. His research interests include surface inspection, machine vision and intelligent system.



    [1] Di H, Ke X, Peng Z, Dongdong Z. Surface defect classification of steels with a new semi-supervised learning method[J]. Optics and Lasers in Engineering, 2019, 117: 40–48.

    [2] He D, Xu K, Zhou P. Defect detection of hot rolled steels with a new object detection framework called classification priority network[J]. Computers & Industrial Engineering, 2019, 128: 290–297.

    [3] Ren W, Xu K, Dixon S, Zhang C. A study of magnetostriction mechanism of EMAT on low-carbon steel at high temperature[J]. NDT & E International, 2019, 101: 34–43.

    [4] Ren W, Xu K, Zhou P. Fast Measurement of Magnetostriction Coefficients for Silicon Steel Strips Using Magnetostriction-Based EMAT[J]. Sensors, 2018, 18(12): 4495.

    [5] He J, Xu K, Ren W. Designs for improving electromagnetic acoustic transducers’ excitation performance[J]. Japanese Journal of Applied Physics, 2018, 57(6): 067202.

    [6] Xu K, Xu Y, Zhou P, Wang L. Application of RNAMlet to surface defect identification of steels[J]. Optics and Lasers in Engineering, 2018, 105: 110–117.

    [7] Ren W, He J, Dixon S, Xu K. Enhancement of EMAT’s efficiency by using silicon steel laminations back-plate[J]. Sensors and Actuators A: Physical, 2018, 274: 189–198.

    [8] Liu Y, Xu K, Wang D. Online Surface Defect Identification of Cold Rolled Strips Based on Local Binary Pattern and Extreme Learning Machine[J]. Metals, 2018, 8(3): 197.

    [9] Tian S, Xu K. An Algorithm for Surface Defect Identification of Steel Plates Based on Genetic Algorithm and Extreme Learning Machine[J]. Metals, 2017, 7(8): 311.

    [10] He J, Dixon S, Hill S, Xu K. A New Electromagnetic Acoustic Transducer Design for Generating and Receiving S0 Lamb Waves in Ferromagnetic Steel Plate[J]. Sensors, 2017, 17(5): 1023.

    [11] Xu K, Liu S, Ai Y. Application of Shearlet transform to classification of surface defects for metals[J]. Image and Vision Computing, 2015, 35: 23–30.

    [12] Ai Y, Xu K. Surface Detection of Continuous Casting Slabs Based on Curvelet Transform and Kernel Locality Preserving Projections[J]. Journal of Iron and Steel Research International, 2013, 20(5): 80–86.

    [13] Xu K, Ai Y, Wu X. Application of multi-scale feature extraction to surface defect classification of hot-rolled steels[J]. International Journal of Minerals, Metallurgy, and Materials, 2013, 20(1): 37–41.

    [14] Ai Y, Xu K. Feature extraction based on contourlet transform and its application to surface inspection of metals[J]. Optical Engineering, 2012, 51(11): 113605.

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