| Automated discovery of fundamental variables hidden in experimental data B Chen, K Huang, S Raghupathi, I Chandratreya, Q Du, H Lipson Nature Computational Science 2 (7), 433-442, 2022 | 115 | 2022 |
| A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation R Shi, Z Mo, K Huang, X Di, Q Du IEEE Transactions on Intelligent Transportation Systems 23 (8), 11688-11698, 2021 | 108 | 2021 |
| A game-theoretic framework for autonomous vehicles velocity control: Bridging microscopic differential games and macroscopic mean field games K Huang, X Di, Q Du, X Chen arXiv preprint arXiv:1903.06053, 2019 | 54 | 2019 |
| Dynamic driving and routing games for autonomous vehicles on networks: A mean field game approach K Huang, X Chen, X Di, Q Du Transportation Research Part C: Emerging Technologies 128, 103189, 2021 | 42 | 2021 |
| Scalable traffic stability analysis in mixed-autonomy using continuum models K Huang, X Di, Q Du, X Chen Transportation research part C: emerging technologies 111, 616-630, 2020 | 41 | 2020 |
| Stability of a nonlocal traffic flow model for connected vehicles K Huang, Q Du SIAM Journal on Applied Mathematics 82 (1), 221-243, 2022 | 31 | 2022 |
| Stabilizing traffic via autonomous vehicles: A continuum mean field game approach K Huang, X Di, Q Du, X Chen 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3269-3274, 2019 | 23 | 2019 |
| Discovering state variables hidden in experimental data B Chen, K Huang, S Raghupathi, I Chandratreya, Q Du, H Lipson arXiv preprint arXiv:2112.10755, 2021 | 22 | 2021 |
| Asymptotically compatibility of a class of numerical schemes for a nonlocal traffic flow model K Huang, Q Du arXiv preprint arXiv:2301.00803, 2023 | 5 | 2023 |
| A space-time nonlocal traffic flow model: Relaxation representation and local limit Q Du, K Huang, J Scott, W Shen arXiv preprint arXiv:2211.00796, 2022 | 5 | 2022 |
| Asymptotic Compatibility of a Class of Numerical Schemes for a Nonlocal Traffic Flow Model K Huang, Q Du SIAM Journal on Numerical Analysis 62 (3), 1119-1144, 2024 | 3 | 2024 |
| Mathematical modeling of traffic flow for connected and automated vehicles K Huang Columbia University, 2022 | 1 | 2022 |
| Physics-informed deep learning for traffic state estimation R Shi, Z Mo, K Huang, X Di, Q Du arXiv preprint arXiv:2101.06580, 2021 | | 2021 |
| Stability of a Nonlocal Conservation Law Modeling Traffic Flow K Huang, Q Du | | |
