張亞英，教授，2004年畢業于上海交通大學計算機科學與技術系，獲工學博士學位，畢業后進入同濟大學計算機系任教，主要的研究方向包括大數據與人工智能、智能交通系統以及分布計算。
主講本科課程“數據結構”、“算法設計與分析”和碩士課程“分布式系統”。
長期從事時空大數據挖掘和分布式計算等方面的基礎研究工作。先后承擔和參與了包括國家自然科學基金、國家重點研發計劃、科技部國際重點合作項目、國家基金委重大集成計劃、上海市基礎重大計劃等各類科研項目20余項。對多源數據的融合與清洗、時空大數據的 挖掘與分析、數據驅動的漂移檢測、分布計算環境中的大數據存儲與計算任務調度、數據流中的不確定性建模與評估等領域進行研究，并在智能交通信息系統等多個領域進行應用驗證。
近年來主要的學術論文：
(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)
