PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration. - Xuan Li; Yadi Cao; Minchen Li; Yin Yang 002; Craig A. Schroeder; Chenfanfu Jiang (NeurIPS, 2022)

Bi-Stride Multi-Scale Graph Neural Network for Mesh-Based Physical Simulation. - Yadi Cao; Menglei Chai; Minchen Li; Chenfanfu Jiang (CoRR, 2022)

An Efficient B-Spline Lagrangian/Eulerian Method for Compressible Flow, Shock Waves, and Fracturing Solids. - Yadi Cao; Yunuo Chen 001; Minchen Li; Yin Yang 002; Xinxin Zhang; Mridul Aanjaneya; Chenfanfu Jiang (ACM Trans. Graph., 2022)

Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network. - Yadi Cao; Menglei Chai; Minchen Li; Chenfanfu Jiang (ICML, 2023)

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (CoRR, 2023)

Material Point Methods on Unstructured Tessellations: A Stable Kernel Approach With Continuous Gradient Reconstruction. - Yadi Cao; Yidong Zhao; Minchen Li; Yin Yang 002; Jinhyun Choo; Demetri Terzopoulos; Chenfanfu Jiang (CoRR, 2023)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (NeurIPS, 2024)

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. - Haixin Wang 003; Yadi Cao; Zijie Huang 002; Yuxuan Liu; Peiyan Hu; Xiao Luo 001; Zezheng Song; Wanjia Zhao; Jilin Liu; Jinan Sun; Shikun Zhang; Long Wei; et al. (CoRR, 2024)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Siyu Heng; Junyu Luo 002; Yanxin Shen; Xiao Luo 001 (CoRR, 2024)

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. - Bohan Lyu 001; Yadi Cao; Duncan Watson-Parris; Leon Bergen; Taylor Berg-Kirkpatrick; Rose Yu (CoRR, 2024)

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Yadi Cao; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2024)

VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction. - Yadi Cao; Yuxuan Liu; Liu Yang; Rose Yu; Hayden Schaeffer; Stanley J. Osher (CoRR, 2024)

Advancing Physics-Based Simulations: Integrating Conventional and Machine-Learning Approaches for Enhanced Computational Efficiency - Yadi Cao (2024)

Augmented Incremental Potential Contact for Sticky Interactions. - Yu Fang; Minchen Li; Yadi Cao; Xuan Li; Joshuah Wolper; Yin Yang 002; Chenfanfu Jiang (IEEE Trans. Vis. Comput. Graph., 2024)

BIGE : Biomechanics-informed GenAI for Exercise Science. - Shubh Maheshwari; Anwesh Mohanty; Yadi Cao; Swithin Razu; Andrew McCulloch; Rose Yu (L4DC, 2025)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Yanxin Shen; Junyu Luo 002; Ming Zhang 004; Siyu Heng; Xiao Luo 001 (Trans. Mach. Learn. Res., 2025)

Foam-Agent: Towards Automated Intelligent CFD Workflows. - Ling Yue; Nithin Somasekharan; Yadi Cao; Shaowu Pan (CoRR, 2025)

Discovering Symbolic Differential Equations with Symmetry Invariants. - Jianke Yang; Manu Bhat; Bryan Hu; Yadi Cao; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)