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 202, 3541--3558, 2023 | 47* | 2023 |
A liquid plug moving in an annular pipe—Flow analysis Y Cao, R Li Physics of Fluids 30 (9), 2018 | 16 | 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 | 15 | 2022 |
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 | 14 | 2024 |
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 | 14 | 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 | 8 | 2019 |
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling WW Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao ... Advances in Neural Information Processing Systems 37, 739--774, 2024 | 7* | 2024 |
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 |
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 75 (2), 655-678, 2025 | 1 | 2025 |
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction Y Cao, Y Liu, L Yang, R Yu, H Schaeffer, S Osher arXiv preprint arXiv:2411.16063, 2024 | 1 | 2024 |
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation B Lyu, Y Cao, D Watson-Parris, L Bergen, T Berg-Kirkpatrick, R Yu arXiv preprint arXiv:2411.00412, 2024 | 1 | 2024 |