Yadi Cao

According to our database, Yadi Cao authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Augmented Incremental Potential Contact for Sticky Interactions.

Yu Fang, Minchen Li, Yadi Cao, Xuan Li, Joshuah Wolper, Yin Yang, Chenfanfu Jiang

IEEE Trans. Vis. Comput. Graph., August, 2024

Advancing Physics-Based Simulations: Integrating Conventional and Machine-Learning Approaches for Enhanced Computational Efficiency

Yadi Cao

PhD thesis, 2024

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.

Fang Sun, Zijie Huang, Haixin Wang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun

CoRR, 2024

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation.

Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu

CoRR, 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.

Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

CoRR, 2024

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.

Pengyun Wang, Yadi Cao, Chris Russell, Siyu Heng, Junyu Luo, Yanxin Shen, Xiao Luo

CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun

CoRR, 2024

2023

Material Point Methods on Unstructured Tessellations: A Stable Kernel Approach With Continuous Gradient Reconstruction.

Yadi Cao, Yidong Zhao, Minchen Li, Yin Yang, Jinhyun Choo, Demetri Terzopoulos, Chenfanfu Jiang

CoRR, 2023

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.

Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

CoRR, 2023

Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network.

Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang

Proceedings of the International Conference on Machine Learning, 2023

2022

An Efficient B-Spline Lagrangian/Eulerian Method for Compressible Flow, Shock Waves, and Fracturing Solids.

Yadi Cao, Yunuo Chen, Minchen Li, Yin Yang, Xinxin Zhang, Mridul Aanjaneya, Chenfanfu Jiang

ACM Trans. Graph., 2022

Bi-Stride Multi-Scale Graph Neural Network for Mesh-Based Physical Simulation.

Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang

CoRR, 2022

PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration.

Xuan Li, Yadi Cao, Minchen Li, Yin Yang, Craig A. Schroeder, Chenfanfu Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022