| Knode-mpc: A knowledge-based data-driven predictive control framework for aerial robots KY Chee, TZ Jiahao, MA Hsieh IEEE Robotics and Automation Letters 7 (2), 2819-2826, 2022 | 72 | 2022 |
| Nodeo: A neural ordinary differential equation based optimization framework for deformable image registration Y Wu, TZ Jiahao, J Wang, PA Yushkevich, MA Hsieh, JC Gee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 39 | 2022 |
| Knowledge-Based Learning of Nonlinear Dynamics and Chaos TZ Jiahao, MA Hsieh, E Forgoston Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 | 36 | 2020 |
| Online dynamics learning for predictive control with an application to aerial robots TZ Jiahao, KY Chee, MA Hsieh Conference on Robot Learning, 2251-2261, 2023 | 20 | 2023 |
| Learning to swarm with knowledge-based neural ordinary differential equations TZ Jiahao, L Pan, MA Hsieh 2022 International conference on robotics and automation (ICRA), 6912-6918, 2022 | 14 | 2022 |
| We WOVE, we designed, we conquered: Assessing engineering self-efficacy in a Mechanical Engineering Communication Initiative—Instructor and student perspectives T Nathans-Kelly, R Evans, L Klein, J Zhang 2017 IEEE International Professional Communication Conference (ProComm), 1-8, 2017 | 2 | 2017 |
| Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes S Manjanna, TZ Jiahao, MA Hsieh arXiv preprint arXiv:2304.00732, 2023 | 1 | 2023 |
| Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification T Beckers, TZ Jiahao, GJ Pappas IFAC-PapersOnLine 56 (2), 525-532, 2023 | 1 | 2023 |
| Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots TZ Jiahao, R Adolf, C Sung, MA Hsieh arXiv preprint arXiv:2408.07776, 2024 | | 2024 |
| Deep Learning for Dynamics—the Intuitions Deep learning has shown promising results in learning dynamics, and here are the intuitions behind two popular approaches … TZ Jiahao | | |
M. Ani HsiehMechanical Engineering & Applied Mechanics, University of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
