个人简历

教育背景
2001 - 2006 中国科学院计算技术研究所，获博士学位；
1997 - 2001 武汉大学计算机科学与技术学院，获学士学位。
工作经历
2016 －今 北京交通大学计算机与信息技术学院，副院长；
2013 - 今 北京交通大学计算机与信息技术学院，教授（破格晋升）；
2012 - 今 北京交通大学计算机学院信息通信网络研究所，所长；
2006 - 今 ACM国际大学生程序设计竞赛北京交通大学代表队，教练；
2014 - 2016 北京交通大学计算机与信息技术学院计算机工程系，主任；
2010 - 2011 美国宾夕法尼亚州立大学访问学者；

研究领域

移动与互联网络
人工智能及应用
电子信息（专业学位）
计算机技术（专业学位）
软件工程（专业学位）
人工智能技术（专业学位）"科研项目
北京市自然基金“轨道交通联合”: 轨道线路可靠性分析的视觉感知和缺陷识别技术研究

近期论文

论文/期刊
更多信息请参阅实验室网站：http://icn.bjtu.edu.cn/Visint/Index
代表性论文：
Haomin Yu, Qingyong Li*, et al. A Deep Calibration Method for Low-Cost Air Monitoring Sensors with Multi-Level Sequence Modeling, IEEE Transactions on Instrumentation and Measurement, 2020, 10.1109/TIM.2020.2978596.
Yangliao Gen, Qingyong Li*, et al. Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Transactions on Parallel and Distributed Systems, 2020，DOI: 10.1109/TPDS.2020.2975550
Haomin Yu, Qingyong Li*, Yangli-ao Geng, Yingjun Zhang, ZhiWei. AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. The 2020 Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (CCF A类会议，Oral)
Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li. Multi-Component Graph Convolutional Collaborative Filtering. The 2020 Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (CCF A类会议)
Yangli-ao Geng, Qingyong Li*, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, and Yijun Zhang. LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction. 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. (CCF A类会议)
Jianzhu Wang, Qingyong Li*, Jinrui Gan, Haomin Yu, Xi Yang. Surface Defect Detection via Entity Sparsity Pursuit with Intrinsic Priors. IEEE Transactions on Industrial Informatics, 2019, DOI: 10.1109/TII.2019.2917522.
Haomin Yu, Qingyong Li*, Yunqiang Tan, Jinrui Gan, Jianzhu Wang, Yangli-ao Geng, Lei Jia. A Coarse-to-Fine Model for Rail Surface Defect Detection. IEEE Transactions on Instrumentation and Measurement, 2019, 68(3):656-666.
C. Huang, R. He, Z. Zhong, B. Ai, Y. Geng, Z. Zhong, Qingyong Li, K. Haneda, C. Oestges. A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels. IEEE Transactions on Vehicular Technology, 2019，68(1): 291-305.
Jinrui Gan, Jianzhu Wang, Haomin Yu, Qingyong Li*, Zhiping Shi. Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2018.2827937.
Ruisi He, Bo Ai, Andreas F. Molisch, Gordon L. Stüber, Qingyong Li, Zhangdui Zhong, and Jian Yu. Clustering Enabled Wireless Channel Modeling Using Big Data Algorithms. IEEE Communications Magazine, 2018, 56(5):177-183.
Yangli-ao Geng, Qingyong Li*, Rong Zheng, Fuzhen Zhuang, Ruisi He, Naixue Xiong. RECOME: A new density-based clustering algorithm using relative KNN kernel density, Information Sciences, 2018, 436–437, 13–30.
Qingyong Li*, Zhiping Shi, Huayan Zhang, Yunqiang Tan, Shengwei Ren, Peng Dai, Weiyi Li. A Cyber-Enabled Visual Inspection System for Rail Corrugation, Future Generation Computer Systems, 2018, 79, 374-382.
Qingyong Li* and S.W. Ren. A Visual Detection System for Rail Surface Defects. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 2012. 42(6): p. 1531-1542.
Qingyong Li* and S.W. Ren. A Real-Time Visual Inspection System for Discrete Surface Defects of Rail Heads. IEEE Transactions on Instrumentation and Measurement, 2012. 61(8): p. 2189-2199.
Qingyong Li*, W.T. Lu, and J. Yang. A Hybrid Thresholding Algorithm for Cloud Detection on Ground-Based Color Images. Journal of Atmospheric and Oceanic Technology, 2011. 28(10): p. 1286-1296.
李清勇, 章华燕, 任盛伟, 戴鹏, 李唯一. 基于钢轨图像频率特征的钢轨波磨检测方法. 中国铁道科学, 2016. 37(1): p. 24 - 30.
李清勇, 施智平, 史忠植, 综合语义特征和视觉特征的二阶段纹理图像检索. 计算机辅助设计与图形学学报, 2008, 20(4):499-505.
李清勇, 罗四维, 史忠植, 基于独立纹元矩的纹理图像检索. 计算机辅助设计与图形学学报, 2007, 19(10): 1328-1333.
李清勇, 胡宏, 施智平, 史忠植等，基于纹理语义特征的图像检索研究. 计算机学报, 2006, 29(1): 116-123.


专著/译著
1）Qingyong Li, Zhiping Shi, Zhongzhi Shi. A Selective Sparse Coding Model with Embedded Attention Mechanism. Novel Approaches in Cognitive Informatics and Natural Intelligence, by YingXu Wang (eds.), pp.78-91, Information Science Publishing, 2008.
2）Zhiping Shi, Qingyong Li, Qing He, Zhongzhi Shi. A Semantics Sensitive Framework of Organization and Retrieval for Multimedia Databases. Artificial Intelligence for Maximizing Content Based Image Retrieval, by Zongmin Ma (eds.), pp.289-314, Information Science Publishing, 2008.
3）Qingyong Li, Zhiping Shi, Zhongzhi Shi. Linguistic Expression Based Image Description Framework and its Application to Image Retrieval. Soft Computing in Image Processing - Recent Advances Series: Studies in Fuzziness and Soft Computing, Vol. 210 Nachtegael, M.; Van der Weken, D.; Kerre, E.E.; Philips, W. (Eds.) 2007, pp. 97-120.
4) 李清勇. 算法设计与计算机问题求解，2013，电子工业出版社。
ACM 会员
IEEE 会员
中国计算机学会高级会员
中国计算机学会人工智能与模式识别专业委员会委员
人工智能学会知识工程与分布智能专业委员会委员
IEEE ICCI，IEEE CyberSciTech, IFP IIP等多个国际会议的PC Member。