Dr. Yunwen Xu is an accomplished Associate Researcher and Doctoral Supervisor at Shanghai Jiao Tong University, recognized for her impactful contributions to intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her research bridges advanced control theory with practical applications in intelligent mobility and energy management. She has authored over 50 peer-reviewed publications, including 15 in top-tier journals, and her work is highly cited, with a total of 499 citations and 473 since 2020. Dr. Xu’s research impact is reflected in an h-index of 9 and an i10-index of 9, highlighting the influence and relevance of her work in the field. She has developed innovative predictive control models that optimize large-scale, stochastic traffic systems, advancing traffic flow regulation under vehicle-to-everything (V2X) and autonomous vehicle frameworks. Her contributions have led to six authorized patents and multiple successful technology transfers, demonstrating her ability to translate research into practical industrial solutions. She has led multiple national and provincial projects and collaborated with industry partners to implement intelligent control systems for microgrids and advanced temperature regulation technologies. Her achievements have earned her academic and technological awards, including recognition for excellence in process control and autonomous driving algorithm innovation. As an active member of technical committees under the Chinese Association of Automation, Dr. Xu continues to drive advancements in predictive control and intelligent decision-making systems, fostering the development of smarter, more efficient, and sustainable urban mobility ecosystems.
Profile: Google Scholar
Featured Publications
Sheng, Z., Xu, Y., Xue, S., & Li, D. (2022). Graph-based spatial-temporal convolutional network for vehicle trajectory prediction in autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 23(10), 17654–17665.
He, S., Chen, W., Li, D., Xi, Y., Xu, Y., & Zheng, P. (2021). Iterative learning control with data-driven-based compensation. IEEE Transactions on Cybernetics, 52(8), 7492–7503.
Xu, Y., Li, D., Xi, Y., Lan, J., & Jiang, T. (2018). An improved predictive controller on the FPGA by hardware matrix inversion. IEEE Transactions on Industrial Electronics, 65(9), 7395–7405.
Yang, L., Lu, J., Xu, Y., Li, D., & Xi, Y. (2020). Constrained robust model predictive control embedded with a new data‐driven technique. IET Control Theory & Applications, 14(16), 2395–2405.
Xu, Y., Xi, Y., Li, D., & Zhou, Z. (2016). Traffic signal control based on Markov decision process. IFAC-PapersOnLine, 49(3), 67–72.