Juanwu Lu
Engineering · Purdue University West Lafayette
Publications
40
Citations
467
Est. group size
~8
Recurring co-author estimate
Active years
6
Publishing since 2021
Juanwu Lu works on machine learning methods for autonomous vehicles and traffic systems, including motion prediction, driving behavior modeling, traffic signal control, and generative planning for connected/cooperative driving. The work combines deep learning, probabilistic modeling (e.g., variational Bayesian methods), and multi-agent reinforcement learning applied to transportation problems. Recent projects also explore foundational generative models and uncertainty quantification techniques that could apply broadly to sequential decision-making.
Publication output has grown substantially over the last decade, rising from no listed publications before 2021 to a peak of 15 in 2026, indicating an actively expanding research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Mollified Value Learning
Open MIND · 2026
- Mollified Value Learning
ArXiv.org · 2026
- A learning-based MPC framework for gridlock-aware over-saturated network traffic control
Transportation Research Part B Methodological · 2026
- On Variance Reduction in Learning Mean Flows
arXiv (Cornell University) · 2026
- On Variance Reduction in Learning Mean Flows
arXiv (Cornell University) · 2026
- Model Merging on Loss Landscape: A Geometry Perspective
arXiv (Cornell University) · 2026
- Model Merging on Loss Landscape: A Geometry Perspective
arXiv (Cornell University) · 2026
- OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving
arXiv (Cornell University) · 2026
- OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving
arXiv (Cornell University) · 2026
- Controllable Sim Agents with Behavior Latents
arXiv (Cornell University) · 2026
- Controllable Sim Agents with Behavior Latents
arXiv (Cornell University) · 2026
- Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
2024
- Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
arXiv (Cornell University) · 2024
- Personalized Autonomous Driving with Large Language Models: Field Experiments
arXiv (Cornell University) · 2023
- Communication Optimization for Multi-agent Reinforcement Learning-based Traffic Control System with Explainable Protocol
2023
- arXiv (Cornell University)×22
- ArXiv.org×3
- IEEE Transactions on Intelligent Vehicles×1
- ACM Transactions on Internet of Things×1
- Proceedings of the IEEE×1
- Ekim Yurtsever
Engineering · The Ohio State University
- Lingzhong Meng
Engineering · Indiana University
- Weizheng Wang
Engineering · Purdue University West Lafayette
- Dan Shen
Engineering · Purdue University West Lafayette
- Bilin Aksun‐Güvenç
Engineering · The Ohio State University
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.
Claim or correct this profile