Jiqian Dong
Engineering · Purdue University West Lafayette
Publications
37
Citations
845
Est. group size
~1
Recurring co-author estimate
Active years
14
Publishing since 2013
This researcher works on autonomous and connected vehicle systems, applying artificial intelligence methods such as reinforcement learning, graph neural networks, and transformer-based models to problems like traffic control, vehicle cooperation, electric vehicle charging, and explainable decision-making in self-driving cars. The work bridges transportation engineering and machine learning, often focusing on making AI-driven driving systems safer, more efficient, and easier to interpret.
Publication output peaked around 2020-2021 and has since slowed to a lower but steady rate of a few papers per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
arXiv (Cornell University) · 2026
- Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
arXiv (Cornell University) · 2026
- Reinforcement learning based mobile energy disseminator dispatching for on-road electric vehicle charging
Multimodal Transportation · 2025
- Generative Models in Decision Making: A Survey
arXiv (Cornell University) · 2025
- Using Virtual Reality Techniques to Investigate Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users
Deep Blue (University of Michigan) · 2024
- Updating Cost Allocation and Revenue Attribution
2024
- Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems
Transportation Research Part C Emerging Technologies · 2023
- Dynamic urban traffic rerouting with fog‐cloud reinforcement learning
Computer-Aided Civil and Infrastructure Engineering · 2023
- Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning
Transportmetrica A Transport Science · 2023
- LiDAR-based Cooperative Relative Localization
2023
- Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories
arXiv (Cornell University) · 2023
- Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
arXiv (Cornell University) · 2023
- Promoting CAV Deployment by Enhancing the Perception Phase of the Autonomous Driving Using Explainable AI
2023
- Development and testing of an image transformer for explainable autonomous driving systems
Journal of Intelligent and Connected Vehicles · 2022
- Large network multi-level control for CAV and Smart Infrastructure: AI-based Fog-Cloud collaboration
2022
- arXiv (Cornell University)×18
- Computer-Aided Civil and Infrastructure Engineering×2
- Transportation Research Part C Emerging Technologies×2
- Frontiers in Built Environment×1
- Journal of Intelligent and Connected Vehicles×1
- Yiheng Feng
Engineering · Purdue University West Lafayette
- Runjia Du
Engineering · Purdue University West Lafayette
- Yujie Li
Engineering · Purdue University West Lafayette
- Sheng Zhu
Engineering · The Ohio State University
- Ziran Wang
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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