杨迪
基本情况 |
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姓 名： |
杨迪 |
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性 别： |
女 |
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职 称： |
讲师 |
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学 历： |
博士 |
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办公电话： |
0431-85583583 |
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电子邮箱： |
ydi@cust.edu.cn |
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个人简介 |
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杨迪：博士，CCF会员。2019年毕业于长春理工大学，获博士学位。研究方向包括数据挖掘、智能交通系统等。目前的具体研究内容主要为：交通大数据，开展智能交通控制相关研究，包括动态区域划分、交通状态识别、交通信号优化等。 |
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研究领域 |
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数据挖掘、智能交通系统 |
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学术成果 |
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[1]. Yang, D., Li, S., Peng, Z., Wang, P., Wang, J., & Yang, H. MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion. IEICE TRANSACTIONS on Information and Systems, Vol.102, No. 8, PP. 1526–1536, 2019. [2]. Yang, D., Yang, H. M., Wang, P., & Li, S. J. Design and Implement of Large-scale Social Network Analysis Platform Based on Hadoop. Journal of Information Hiding and Multimedia Signal Processing, Vol.8, No.2, PP. 300-309, 2017. [3]. Yang, D., Yang, H. M., Wang, P., & Li, S. J. MSAE: A Multitask Learning Approach for Traffic Flow Prediction Using Deep Neural Network. In 15th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2019, held in conjunction with the 12th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2019, PP. 153-161. [4]. Yang, D., Yang, H., Wang, P., & Li, S. Multi-Step Traffic Flow Prediction Using Recurrent Neural Network. In 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS), 2019, PP.803-808. |
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