| Multi-modal machine learning in engineering design: A review and future directions B Song, R Zhou, F Ahmed Journal of Computing and Information Science in Engineering 24 (1), 010801, 2024 | 54 | 2024 |
| Grouptron: Dynamic multi-scale graph convolutional networks for group-aware dense crowd trajectory forecasting R Zhou, H Zhou, H Gao, M Tomizuka, J Li, Z Xu 2022 International Conference on Robotics and Automation (ICRA), 805-811, 2022 | 29 | 2022 |
| Reinforcement learning based online parameter adaptation for model predictive tracking control under slippery condition H Gao, R Zhou, M Tomizuka, Z Xu 2022 American Control Conference (ACC), 2675-2682, 2022 | 8 | 2022 |
| Bridging Design Gaps: A Parametric Data Completion Approach With Graph-Guided Diffusion Models R Zhou, C Yuan, F Permenter, Y Zhang, N Arechiga, M Klenk, F Ahmed International Design Engineering Technical Conferences and Computers and …, 2024 | 2 | 2024 |
| MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts Z Xu, R Zhou, Y Yin, H Gao, M Tomizuka, J Li arXiv preprint arXiv:2403.06041, 2024 | 2 | 2024 |
| Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction H Gao, R Zhou, M Tomizuka, Z Xu IFAC-PapersOnLine 56 (2), 1301-1306, 2023 | 1 | 2023 |
| Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis R Zhou, Y Zhang, C Yuan, F Permenter, N Arechiga, M Klenk, F Ahmed arXiv preprint arXiv:2412.04707, 2024 | | 2024 |
Zhuo XuResearch Scientist, Google DeepMindVerified email at google.com