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·
Visiting Researcher
,
Google
2023–
·
Ph.D. in Civil Engineering
,
University of California, Berkeley
2018–2021
Publications
(0)
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
IEEE Transactions on robotics · 2017
201
cited
Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning
International Conference on Intelligent Transportation Systems · 2018
119
cited
Unified Automatic Control of Vehicular Systems With Reinforcement Learning
IEEE Transactions on Automation Science and Engineering · 2022
52
cited
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems · 2021
26
cited
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
arXiv.org · 2024
26
cited
Inter-Level Cooperation in Hierarchical Reinforcement Learning
arXiv.org · 2019
16
cited
Multi‐receptive field graph convolutional neural networks for pedestrian detection
IET Intelligent Transport Systems · 2019
15
cited
Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments
2023 IEEE Intelligent Vehicles Symposium (IV) · 2023
14
cited
Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs
IEEE Control Systems · 2025
14
cited
Towards a Trajectory-powered Foundation Model of Mobility
GeoIndstry@SIGSPATIAL · 2024
8
cited
Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic
arXiv.org · 2024
6
cited
Learning energy-efficient driving behaviors by imitating experts
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) · 2022
5
cited
Kernel-based planning and imitation learning control for flow smoothing in mixed autonomy traffic
Transportation Research Part C: Emerging Technologies · 2024
4
cited
Lane assignment of connected vehicles via a hierarchical system
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) · 2022
3
cited
Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles
2022 IEEE Intelligent Vehicles Symposium (IV) · 2022
3
cited
Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed-Autonomy Traffic
IEEE Control Systems · 2025
2
cited
Lateral flow control of connected vehicles through deep reinforcement learning
2023 IEEE Intelligent Vehicles Symposium (IV) · 2023
2
cited
S2Vec: Self-Supervised Geospatial Embeddings for the Built Environment
ACM Transactions on Spatial Algorithms and Systems · 2025
2
cited
Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic
Adaptive Agents and Multi-Agent Systems · 2021
1
cited
Scalable Learning of Segment-Level Traffic Congestion Functions
2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) · 2024
1
cited
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