| Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network Y Cao, M Chai, M Li, C Jiang International Conference on Machine Learning, 2023 | 30* | 2023 |
| A liquid plug moving in an annular pipe—Flow analysis Y Cao, R Li Physics of Fluids 30 (9), 2018 | 15 | 2018 |
| Plasticitynet: Learning to simulate metal, sand, and snow for optimization time integration X Li, Y Cao, M Li, Y Yang, C Schroeder, C Jiang Advances in Neural Information Processing Systems 35, 27783-27796, 2022 | 11 | 2022 |
| An efficient b-spline lagrangian/eulerian method for compressible flow, shock waves, and fracturing solids Y Cao, Y Chen, M Li, Y Yang, X Zhang, M Aanjaneya, C Jiang ACM Transactions on Graphics (TOG) 41 (5), 1-13, 2022 | 11 | 2022 |
| A liquid plug moving in an annular pipe–Heat transfer analysis Y Cao, X Gao, R Li International Journal of Heat and Mass Transfer 139, 1065-1076, 2019 | 7 | 2019 |
| TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems Z Huang, W Zhao, J Gao, Z Hu, X Luo, Y Cao, Y Chen, Y Sun, W Wang arXiv preprint arXiv:2310.06427, 2023 | 3 | 2023 |
| Augmented Incremental Potential Contact for Sticky Interactions Y Fang, M Li, Y Cao, X Li, J Wolper, Y Yang, C Jiang IEEE Transactions on Visualization and Computer Graphics, 2023 | 2 | 2023 |
| Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey H Wang, Y Cao, Z Huang, Y Liu, P Hu, X Luo, Z Song, W Zhao, J Liu, ... arXiv preprint arXiv:2408.12171, 2024 | | 2024 |
| Unstructured moving least squares material point methods: a stable kernel approach with continuous gradient reconstruction on general unstructured tessellations Y Cao, Y Zhao, M Li, Y Yang, J Choo, D Terzopoulos, C Jiang Computational Mechanics, 1-24, 2024 | | 2024 |
| Advancing Physics-Based Simulations: Integrating Conventional and Machine-Learning Approaches for Enhanced Computational Efficiency Y Cao UNIVERSITY OF CALIFORNIA Los Angeles, 2024 | | 2024 |
Chenfanfu JiangUCLA在 math.ucla.edu 的电子邮件经过验证
