对外经济贸易大学信息学院

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张琦

基本信息

姓名:

张琦

职称:

讲师(硕士生导师)

电子邮件:

zhangqi@uibe.edu.cn

联系电话:

(010)-64495073

办公室:

博学楼1317


研究方向

    我的研究方向主要包括应用大数据分析、机器学习、社会网络方法处理各类数据,进而解决各种实际问题,实现数据驱动的智能预测,如产业决策分析、文本图像处理、股价分析及预测等。


教育背景

  • 20129-20177月,北京大学,工业工程管理系,博士

  • 201410-201510月,耶鲁大学,电子工程,联合培养博士

  • 20089-20127月,南京航空航天大学,电子电气工程,学士


工作经历


学术发表

  • Q. Zhang, R. Mao, and R. Li, “Innovation diffusion in networks through asynchronous bootstrap percolation process with changeable attitudes”, Ad Hoc & Sensor Wireless Networks, accepted, 2018. SCI,EI

  • Q. Zhang, R. Li, and T. Chu, “Kernel semi-supervised graph embedding model for multimodal and mixmodal data”, SCIENCE CHINA Information Sciences, doi: 10.1007/s11432-018-9535-9, 2018. SCI,EI

  • Q. Zhang, and T. Chu, “Structure regularized traffic monitoring for traffic matrix estimation and anomaly detection by link-load measurements”, IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 12, pp. 2797-2807, 2017. SCI,EI

  • Q. Zhang, and T. Chu, “Learning in multimodal and mixmodal data: locality preserving discriminant analysis with kernel and sparse representation techniques”, Multimedia Tools and Applications, vol. 76, no. 14, pp. 15465–15489, 2017. SCI,EI

  • Q. Zhang, K. Deng, and T. Chu, “Sparsity induced locality preserving projection approaches for dimensionality reduction”, Neurocomputing, vol. 200, pp. 35-46, 2016. SCI,EI

  • C. Shi, Q. Zhang, and T. Chu, "Estimating the perturbation origin in networked dynamical systems with sparse observation", Lecture Notes in Electrical Engineering, Springer, accepted, 2018. EI

  • C. Shi, Q. Zhang, and T. Chu, "Provenance identification in diffusion networks with incomplete cascades", in Proceedings of the 37th Chinese Control Conference, 2018. EI

  • Q. Zhang, K. Deng, and T. Chu, “An asynchronous linear-threshold innovation diffusion model”, Lecture Notes in Electrical Engineering, Springer, pp. 313-319, 2016. EI

  • Q. Zhang, and T. Chu, “Probabilistic cascade model from partial observations”, in Proceedings of the 4th TCCT Workshop on Stochastic Systems and Control, pp. 47, 2016. Best paper award

  • Q. Zhang, and T. Chu, “Semi-supervised discriminant analysis based on sparse-coding theory”, in Proceedings of the 35th Chinese Control Conference, pp.7082-7087, 2016. EI

  • Q. Zhang, and T. Chu, “Structure regularized traffic monitoring model for traffic matrix estimation and anomaly detection”, in Proceedings of the 34th Chinese Control Conference, pp. 4980-4985, 2015. EI

  • Q. Zhang, K. Deng, and T. Chu, “New sparse subspace learning approaches for feature abstraction and recognition”, in Proceedings of the 33th Chinese Control Conference, pp.4946-4951, 2014. EI

  • Q. Zhang, S. Ma, and L. Cao, “An approach for image with low-frequency noise denoising via pre-emphasis and high-pass filter”, in Proceedings of the IEEE International Conference on Graphic and Image Processing, 8768(2), pp. 171-190, 2013. EI


主持及参与项目

  • 基于分层局部性的半监督机器学习方法研究,对外经济贸易大学新进教师启动项目,2019.1-2021.12,主持

  • 人工智能时代下的管理决策方法创新研究,对外经济贸易大学青年学术创新团队,2019.1-2021.12,参与

  • 复杂网络中信息传播源的反演问题,国家自然科学基金面上项目,2017.1-2020.12,参与


教授课程

  • 《商务数据处理与分析》(CMP135

  • 《大数据分析技术基础》(BDT310)

  • 《计算机应用基础》(CMP122