赵钦佩 ZHAO QIN PEI 副教授、博士
http://sse.tongji.edu.cn/zhaoqinpei    qinpeizhao@tongji.edu.cn

主讲课程:

面向对象编程C++
C语言程序设计

 

研究方向:

聚类算法
聚类有效性分析
图象处理
数据挖掘

 

教学工作

主讲课程:

  • 面向对象编程C++
  • C语言程序设计
  • 数据分析与数据挖掘
  • 模式识别

 

学术活动

  • 国际期刊Knowledge-based Systems, Pattern Recognition Letters, Sensors, Remote Sensing 审稿人
  • ICPR 审稿人

 

重要论文

  • Peng Zhao, Qinpei. Zhao, C.X. Zhang, G. Su, Q. Zhang and Weixiong Rao, “CLEAN: frequent pattern-based trajectory compression and computation on road networks”, CHINA COMMUNICATIONS, 17(5), pp. 119-136, May 2002.
  • Peng Zhao, A.Q. Zhang, C.X. Zhang, J.F. Li, Q.P. Zhao and W.X. Rao, “ATR: Automatic trajectory repairing with movement tendencies”, IEEE ACCESS, 8, pp. 4122-4132, 2020.
  • Yang Shi, Jingxuan Han, iangfeng Li, Guoyue Xiong and Qinpei Zhao, Identity-based undetachable digital signature for mobile agents in electronic commerce, Soft Computing, v22, n20, p6921-35, 2018. 
  • Qinpei Zhao and Pasi Franti, “Centroid Ratio for a pairwise random swap clustering algorithm”, IEEE Trans. on Knowledge and Data Engineering 26(5): 1090-1101 (2014).
  • Qinpei Zhao and Pasi Franti, “WB-index: a sum-of-squares based index for cluster validity”, Data & Knowledge Engineering 92: 77-89 (2014).
  • Qinpei Zhao, Yang Shi, Qin Liu and Pasi Franti, “A grid-growing clustering algorithm for geo-spatial data”, Pattern Recognition Letters 53: 77-84 (2015).
  • Qinpei Zhao, Ville Hautamaki, Ismo Karkkainen and Pasi Franti, “Random swap EM algorithm for Gaussian mixture models and its applications”, Pattern Recognition Letters 33: 2120-2126 (2012).
  • Pasi Franti, Mohammod Rezaei and Qinpei Zhao, “Centroid index: cluster level similarity measure”, Pattern Recognition47(9): 2783-3192 (2014).
  • Bingquan Yu, Jinqiu Guo, Qinpei zhao, Jiangfeng Li and Weixiong Rao, Smarter and safer traffic signal controlling via deep reinforcement learning, Proc. of the 29th Intl. Conf. on Information & Knowledge Management (CIKM’20), pp. 3345-3348, Oct. 2020.
  • Lujiang Yu, Hui Jiang, Hongming Zhu, Qinpei Zhao and Jessie Chen, Investigating the understanding of plagiarism: a case study of code plagiarism in China, 15th Intl. Conf. on Computer Science & Education (ICCSE), pp. 176-181, Aug. 2020.
  • Jiaming Yin, Weixiong Rao, Kai Zhao, Mingxuan Yuan, Jia Zeng, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao, Experimental Study of Multivariate Time Series Forecasting Models, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 2833-2839, Nov.2019.
  • Cheng Lin, Qinpei Zhao, Jiangfeng Li and Weixiong Rao, Size Prediction for Online Clothing Shopping with Heterogeneous Information, 15th International Conference on Computational Intelligence and Security, pp. 177-181, 2019.
  • Ying Zhang, Yingjia Zhang, Qinpei Zhao, Weixiong Rao: Automatic User Categorization Through Large Transaction Data. ICME 2019: 278-283.
  • Xiaolei Di, Yu Xiao, Chao Zhu, Yang Deng, Qinpei Zhao and Weixiong Rao, “Traffic congestion prediction by spatiotemporal propagation patterns”, 20th International Conf. on Mobile Data Management (MDM 2019), pp. 298-303, 2019.
  • Jinhua Lv, Qinpei Zhao, Jiangfeng Li, Yige Zhang, Xiaolei Di, Weixiong Rao, Mingxuan Yuan and Jia Zeng, BSLoc: Base station ID-based Telco Outdoor localization, Algorithms for Sensor Systems. 14th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2018, pp. 206-219, 23-24 Aug. 2018. Publication date: 2019. 
  • Peng Zhao, Qinpei Zhao, Chenxi Zhang, Gong Su, Qi Zhang and Weixiong Rao, “CLEAN: Frequent pattern-based trajectory spatial-temporal compression on road networks”, 20th International Conf. on Mobile Data Management (MDM 2019), pp.605-610, 2019.
  • Ying Zhang, Zhaotong Li, Qinpei Zhao, Hongfei Fan, Weixiong Rao and Jessie Chen. “A beautiful image or not: a comparative study on classical machine learning and deep learning.” ICCIP '18 (2018).
  • Qinpei Zhao, Yinjia Zhang, Yang Shi and Jiangfeng Li, Analyzing and Visualizing Anomalies and Events in Time Series of Network Traffic, 15th International Conference on Computing and Information Technology, pp. 15-25, 2020.
  • Zhenyu Liao, Yikun Xian, Xiao Yang, Qinpei Zhao, Chenxi Zhang and Jiangfeng Li, TSCSet: A crowdsourced time-sync comment dataset for exploration of user experience improvement, International Conference on Intelligent User Interfaces, Proceedings IUI, p 641-652, March 5, 2018.​
  • P. Yuan, Q. Zhao, W. Rao, M. Yuan, J. Zeng, Searching k-Nearest Neighbor Trajectories on Road Networks. Databases Theory and Applications. 28th Australasian Database Conference, ADC 2017. Proceedings: LNCS 10538, p 85-97, 2017.
  • 廖山河, 赵钦佩, 李江峰, et al. 基于电信数据的室外定位技术研究,计算机工程与科学, 2018, (04): 649-659.
  • 洪庆, 王思尧, 赵钦佩, et al. 基于弹幕情感分析和聚类算法的视频用户群体分类,计算机工程与科学, 2018, (06): 1125-1139.
  • Qinpei Zhao, Zhenyu Liao, Jiangfeng Li, Yang Shi and Qirong Tang, A split smart swap clustering for clutter problem in web mapping system, IEEE/WIC/ACM International Conference on Web Intelligence (WI), p 439-43, 2016.
  • Qinpei Zhao, Zhenyu Liao, Jiangfeng Li and Yang Shi, A Comparative Study on EM Algorithms for Color-Texture Image Segmentation, 7th International Conference on Computing Communication and Networking Technologies (ICCCNT'16), July 2016.
  • Jiangfeng Li, Zhenyu Liao, Zehong Zhou, Jian Xu, Qinpei Zhao and Chenxi Zhang, A potentiall field based framework for publish/subscribe service in P2P cloud, Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, p 168-175, January 18, 2017.

 

获奖经历

  • 1.2007, 芬兰CIMO scholarship
  • 2.2008, 芬兰NOKIA 基金奖学金

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