张亚英，教授，2004年毕业于上海交通大学计算机科学与技术系，获工学博士学位，毕业后进入金沙检测线路js95计算机系任教，主要的研究方向包括大数据与人工智能、智能交通系统以及分布计算。
主讲本科课程“数据结构”、“算法设计与分析”和硕士课程“分布式系统”。
长期从事时空大数据挖掘和分布式计算等方面的基础研究工作。先后承担和参与了包括国家自然科学基金、国家重点研发计划、科技部国际重点合作项目、国家基金委重大集成计划、上海市基础重大计划等各类科研项目20余项。对多源数据的融合与清洗、时空大数据的 挖掘与分析、数据驱动的漂移检测、分布计算环境中的大数据存储与计算任务调度、数据流中的不确定性建模与评估等领域进行研究，并在智能交通信息系统等多个领域进行应用验证。
近年来主要的学术论文：
(1) Aoyu Liu,Yaying Zhang: Spatial-Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting, IEEE Transactions on Intelligent Transportation Systems,(early access), 2024, DOI:10.1109/TITS.2024.3362145
(2) Qi Zheng,Yaying Zhang: DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting. IEEE Trans. Big Data 9(1): 241-253 (2023), DOI:10.1109/TBDATA.2022.3156366；
(3) Yang Li,Yaying Zhang: Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting.2023 IEEE International Conference on Big Data (BigData), 2023: 700-709, DOI:10.1109/BigData59044.2023.10386250
(4) Canyang Zhang, Qi Zheng,Yaying Zhang:Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting.2023 IEEE International Conference on Big Data (BigData), 2023: 1262-1268, DOI:10.1109/BigData59044.2023.10386746
(5) Qi Zheng,Yaying Zhang:TAGnn: Time Adjoint Graph Neural Network for Traffic Forecasting. 28th International Conference on Database Systems for Advanced Applications (DASFAA), 2023: 369-379
(6) Xuancheng Jin,Yaying Zhang:Adaptive Random Forest with Dynamic Detectors for Evolving Data Stream Classification. ICCAI 2023: 678-684
(7) Jiankai Zuo,Yaying Zhang: SGED-Net: A Self-organizing Graph Embedding Deep Network for Travel Time Estimation.2023 International Joint Conference on Neural Networks(IJCNN) 2023: 1-9,DOI:10.1109/IJCNN54540.2023.10191790
(8)Yaying Zhang,Xinyuan Sui: RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks. IEEE Trans. Big Data 8(5): 1414-1427 (2022), DOI:10.1109/TBDATA.2021.3057095
(9) Huiyun Yu, Qi Zheng, Shuyun Qian,Yaying Zhang: A Fuzzy-based Convolutional LSTM Network Approach for Citywide Traffic Flow Prediction. 2022 IEEE Intelligent Transportation System s Conference (ITSC), 2022: 3360-3367
(10) Yixi Wu andYaying Zhang, "Dynamic Time-Constrained Path Recommendation with User’s Preference," 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 2021, pp. 1641-1648.
(11) Yang Liankun;Zhang Yaying; Zuo Jiankai ; "An Attention-Based Spatial-Temporal Traffic Flow Prediction Method with Pattern Similarity Analysis", 2021 IEEE Intelligent Transportation System s Conference (ITSC), Indianapolis, USA, 2021.
(12) Xinyuan Sui andYaying Zhang, "Entropy-based Traffic Congestion Propagation Pattern Mining with GPS Data," 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA), Xiamen, China, 2021, pp. 128-132.
(13) Chuanfei Gong;Yaying Zhang; "Urban Traffic Data Imputation With Detrending and Tensor Decomposition", IEEE Access, 2020, 2020(8): 11124-11137.
(14)Yaying Zhang; Guan Huang ; "traffic flow prediction model based on deep belief network and genetic algorithm", IET Intelligent Transport Systems, 2018, 12(6): 533-541.
(15)Yaying Zhang,Wei Qiang, Zhengyu Yang: "A New Traffic Signal Control Method Based on Hybrid Colored Petri Net in Isolated Intersections". International Journal of Intelligent Transportation Systems Research. 15(2): 98-107 (2017)
