康学净，工学博士，北京邮电大学副教授，硕导、博导。长期从事图像信号处理、深度学习与计算机视觉、计算摄影、新型视觉安全等方向的研究。近年来主持国家自然科学基金青年项目1项、面上项目1项、军委科技委战略先导计划2项、北京邮电大学青年科研创新计划专项1项；参与国家重点研发计划1项、国家自然科学基金面上项目2项、173重点基础研究项目1项、横向项目5项。以第一作者或通信作者在国际权威期刊如IEEE Trans. Image Process., IEEE Trans. Signal Process., IEEE Trans. Circuts Syst. Video Technol., Neurocomputing, IEEE Signal Process. Lett., Signal Process.-Image Commun.等，和ICCV、AAAI、IJCAI、ICASSP、ACCV、ICPR、ICIP等系列著名国际会议发表学术论文40余篇，申请国家发明专利8项，已获得授权6项；获吴文俊人工智能技术发明奖三等奖1项。

第一作者发表的部分代表性论文如下（其它论文详见：https://dblp.org/pid/33/8493.html）：

[1] Xuejing Kang, Lei Zhu, Anlong Ming. Dynamic random walk for superpixel segmentation. IEEE Transactions on Image Processing. 2020, 29: 3871-3884. (中科院一区、图像处理领域顶刊)

[2] Xuejing Kang, Ran Tao, Feng Zhang. Multiple-Parameter discrete fractional transform and its applications. IEEE Transactions on Signal Processing. 2016, 64(13): 3402-3417. (中科院一区、信号处理领域顶刊)

[3] Xuejing Kang, Anlong Ming, Ran Tao. Reality-preserving multiple parameter discrete fractional angular transform and its application to color image encryption. IEEE Transactions on Circuits and Systems for Video Technology，2019，29(6)：1595-1607. (中科院一区期刊)

[4] Xuejing Kang, Ran Tao. Color image encryption using pixel scrambling operator and reality-preserving MPFRHT. IEEE Transactions on Circuits and Systems for Video Technology，2019，29(7)：1919-1932. (中科院一区期刊)

[5] Xuejing Kang, Peiqi Duan, Ruyu Xu. Single image super-resolution based on Mapping-vector clustering and nonlinear pixel-reconstruction. Signal Processing: Image Communication. 2022, 100: 116501. (中科院二区期刊)

[6] Xuejing Kang, Zihui Guo. A new color image encryption scheme based on DNA encoding and spatiotemporal chaotic system. Signal Processing: Image Communication. 2020, 80: 115670. (中科院二区期刊)

[7] Xuejing Kang, Feng Zhang, Ran Tao. Multichannel random discrete fractional Fourier transform. IEEE Signal Processing Letters. 2015, 22(9): 1340-1344.  (中科院三区期刊)

所指导学生为第一作者发表的部分代表性论文如下：

[1] Pei Zhou, Xuejing Kang*, Anlong Ming. Vine spread for superpixel segmentation, IEEE Transactions on Image Processing. 2023, 32: 878-891. (中科院一区、CCF A类期刊)

[2] Lei Zhu, Xuejing Kang*, Anlong Ming. Explored normalized cut with random walk refining term for image segmentation, IEEE Transactions on Image Processing. 2022, 31: 2893-2906. (中科院一区、CCF A类期刊)

[3] Chunpeng Li, Xuejing Kang*, Lei Zhu, Lizhu Ye, Panhe Feng, Anlong Ming. HDNet: Hybrid distance network for semantic segmentation, Neurocomputing. 447: 129-144, 2021. (中科院二区期刊)

[4] Chenghao Dong, Xuejing Kang*, Anlong Ming. ICDA: Illumination-coupled domain adaptation framework for unsupervised nighttime semantic segmentation, Proceedings of the 32th International Joint Conference on Artificial Intelligence（IJCAI）.2023. (CCF A类会议)

[5] Chunxiao Li, Xuejing Kang, Anlong Ming. WBFlow: Few-shot white balance for sRGB images via reversible neural flows, Proceedings of the 32th International Joint Conference on Artificial Intelligence（IJCAI）, 2023. (CCF A类会议)

[6] Chunxiao Li, Xuejing Kang, Zhifeng Zhang, Anlong Ming. SWBNet: A stable white balance network for sRGB images, Proceedings of the 37th AAAI conference on Artificial Intelligence（AAAI）. pp. Feb. 7-Feb. 14, 2023. (CCF A类会议)

[7] Zhifeng Zhang, Xuejing Kang, Anlong Ming. Domain adversarial learning for color constancy, Proceedings of the 31th International Joint Conference on Artificial Intelligence and the 25th European conference on Artificial Intelligence（IJCAI）. pp. July 23-July 29, 2022. (CCF A类会议)

[8] Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming. Transfer learning for color constancy via statistic perspective, Proceedings of the 36th AAAI conference on Artificial Intelligence（AAAI）. pp. Feb. 22-Mar. 01, 2022. (CCF A类会议)

[9] Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang. Unifying nonlocal blocks for neural networks, Proceedings of International Conference on Computer Vision（ICCV）. pp. Oct. 11-Oct. 17, 2021. (CCF A类会议)

[10] Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang*, Anlong Ming. MT-ORL: Multi-Task occlusion relationship learning, Proceedings of International Conference on Computer Vision（ICCV）. pp. Oct. 11-Oct. 17, 2021. (CCF A类会议)