Prof.Du is with the State Key Laboratory of Software Development Environment, Beihang University, IEEE computational Intelligence Society TC Member, Young Expert Committee of Rail transport branch of China Civil Engineering Society and High - Speed Railway Commission in China Railway Society.

    Research interests include smart city technology, multi-source data fusion, and traffic data mining. Received the PhD. degree in computer science and engineering from Beihang University, Beijing, China, in 2013. From 2015 to 2016, worked as a visiting scholar in Rutgers, The State University of New Jersey.

    Prof.Du has presided over many research projects including Natural Science Foundation of China, National Key R&D Program of China etc. More than 100 peer-reviewed journal (e.g., TKDE, TITS) and conference papers (e.g., KDD, AAAI, SIGIR) were published online. Numerous honors, including one second prize of National Science and Technological Invention Award, one second prize of National Scientific and Technological Progress Award, three first prizes of Provincial and Ministerial Science and Technology Award and two second prizes of Provincial and Ministerial Science and Technology Award were received.

    Also serves as an Editorial Board of Intelligent Transportation Infrastructure (2022-2023), PC member of IJCAI, KDD, AAAI, etc. Reviewer for TKDE, TNNLS, TITS, etc.

Du, B., Peng, H., Wang, S., Bhuiyan, M. Z. A., Wang, L., Gong, Q., ... & Li, J. (2019). Deep irregular convolutional residual LSTM for urban traffic passenger flows prediction. IEEE Transactions on Intelligent Transportation Systems, 21(3), 972-985.

Du, B., Hu, X., Sun, L., Liu, J., Qiao, Y., & Lv, W. (2020). Traffic demand prediction based on dynamic transition convolutional neural network. IEEE Transactions on Intelligent Transportation Systems, 22(2), 1237-1247.

Du, B., Sun, X., Ye, J., Cheng, K., Wang, J., & Sun, L. (2021). GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set. IEEE Transactions on Knowledge and Data Engineering.

Du, B., Huang, R., Xie, Z., Ma, J., & Lv, W. (2018). KID model-driven things-edge-cloud computing paradigm for traffic data as a service. IEEE Network, 32(1), 34-41.

Du, B., Li, W., Tan, X., Ye, J., Chen, W., & Sun, L. (2021). Development of load-temporal model to predict the further mechanical behaviors of tunnel structure under various boundary conditions. Tunnelling and Underground Space Technology, 116, 104077.

Du, B., Liu, C., Zhou, W., Hou, Z., & Xiong, H. (2018). Detecting pickpocket suspects from large-scale public transit records. IEEE Transactions on Knowledge and Data Engineering, 31(3), 465-478.

Du, B., Zhou, W., Liu, C., Cui, Y., & Xiong, H. (2019). Transit pattern detection using tensor factorization. INFORMS Journal on Computing, 31(2), 193-206.

Du, B., Tong, Y., Zhou, Z., Tao, Q., & Zhou, W. (2018, July). Demand-aware charger planning for electric vehicle sharing. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1330-1338).

杜博文,杜念冰,张笑,肖道锐,吕卫锋. 一种基于交通多源数据融合的公交路况处理系统及方法.发明专利

杜博文,孙轩轩,叶俊辰,孙磊磊. 一种结构健康监测数据增强方法.发明专利

杜博文,李文涛,叶俊辰,孙磊磊. 一种地下基础设施结构健康演化趋势预测方法.发明专利

国家标准, 《智慧城市 数据融合 第1部分：概念模型》, GB/T 36625.1-2018, 2018

国家标准, 《智慧城市 数据融合 第2部分：数据编码规范》, GB/T 36625.2-2018, 2018

Editorial Board, Intelligent Transportation Infrastructure (ITI 2022)

PC Member, the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. (KDD 2021)

SPC Member, the 30th International Joint Conference on Artificial Intelligence. (IJCAI 2021)

SPC Member, the 35th AAAI Conference on Artificial Intelligence. (AAAI 2021)

SPC Member, the 36th AAAI Conference on Artificial Intelligence. (AAAI 2022)