Kaidi Yang
Alumni · now at National University of Singapore
Kaidi Yang is a Postdoctoral Scholar with the Autonomous Systems Lab in the Department of Aeronautics and Astronautics at Stanford University. He obtained the Ph.D. degree in Civil Engineering from ETH Zurich in 2019. Prior to that, he received a BEng. in Automation, a BSc. in Pure and Applied Mathematics (minor), and an MSc. in Control Science and Engineering from Tsinghua University in China.
His primary research interest lies in the control and optimization of multimodal transportation systems, with a particular focus on emerging technologies and shared mobility. Currently, he is working on various topics on Mobility-on-Demand systems, e.g., the coordination of a mixed fleet of autonomous and human-driven vehicles, integration of autonomous mobility-on-demand and public transport, etc.
In his free time, Kaidi enjoys traveling, hiking, cooking, and tennis.
Awards:
- Best Paper Award in Omega: The International Journal of Management Science, 2019
- Postdoc.Mobility fellowship funded by the Swiss National Science Foundation
Publications
10 publications · full lab bibliography
- D. Gammelli, J. Harrison, K. Yang, M. Pavone, F. Rodrigues, and F. C. Pereira, “Graph Reinforcement Learning for Network Control via Bi-Level Optimization,” Int. Conf. on Machine Learning, 2023.
- M. Tsao, K. Gopalakrishnan, K. Yang, and M. Pavone, “Differentially Private Stochastic Convex Optimization for Network Routing Applications,” Proc. IEEE Conf. on Decision and Control, 2023.
- M. Tsao, K. Gopalakrishnan, K. Yang, and M. Pavone, “Privacy-Aware Control of Cyber Physical Systems,” Smarter Cyber Physical Systems: Enabling Methodologies and Application, 2023. (Submitted)
- M. Tsao, K. Gopalakrishnan, K. Yang, and M. Pavone, “Privacy-Aware Control of Cyber Physical Systems,” Smarter Cyber Physical Systems: Enabling Methodologies and Application, 2023. (Submitted)
- M. Tsao, K. Yang, K. Gopalakrishnan, and M. Pavone, “Private Location Sharing for Decentralized Routing Services,” Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2022.
- D. Gammelli, K. Yang, J. Harrison, F. Rodrigues, F. Pereira, and M. Pavone, “Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand,” ACM Int. Conf. on Knowledge Discovery and Data Mining, 2022.
- D. Gammelli, J. Harrison, K. Yang, M. Pavone, F. Rodrigues, and P. C. Francisco, “Graph Reinforcement Learning for Network Control via Bi-Level Optimization,” Learning on Graphs Conference, 2022.
- M. Tsao, K. Yang, S. Zoepf, and M. Pavone, “Trust but Verify: Cryptographic Data Privacy for Mobility Management,” IEEE Transactions on Control of Network Systems, vol. 9, no. 1, pp. 50--61, 2022.
- K. Yang, M. Tsao, X. Xu, and M. Pavone, “Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems,” Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2021.
- D. Gammelli, K. Yang, J. Harrison, F. Rodrigues, F. C. Pereira, and M. Pavone, “Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems,” Proc. IEEE Conf. on Decision and Control, 2021.