Yue Yu

59 papers A* 8A 1Journal 46Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
An attention-based spatio-temporal neural operator for evolving physics.
Mach. Learn. Sci. Technol.
Vispi Karkaria, Doksoo Lee, Yi-Ping Chen, Yue Yu, Wei Chen
2025 J jnl
Harnessing large language models for data-scarce learning of polymer properties.
Nat. Comput. Sci.
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer, Shuna Ni, Jim Lua, Yue Yu
2025 J jnl
Learning Causal Graphs at Scale: A Foundation Model Approach.
CoRR
Naiyu Yin, Tian Gao, Yue Yu
2025 J jnl
Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions.
CoRR
Jihong Wang, Xiaochuan Tian, Zhongqiang Zhang, Stewart Silling, Siavash Jafarzadeh, Yue Yu
2025 J jnl
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery.
CoRR
Ning Liu, Yue Yu
2024 J jnl
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing.
CoRR
Ning Liu, Xuxiao Li, Manoj R. Rajanna, Edward W. Reutzel, Brady Sawyer, Prahalada Rao, Jim Lua, Nam Phan, Yue Yu
2024 J jnl
Disentangled Representation Learning for Parametric Partial Differential Equations.
CoRR
Ning Liu, Lu Zhang, Tian Gao, Yue Yu
2024 A* conf
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model.
AAAI
Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji
2024 — conf
Efficient Nonlinear DAG Learning Under Projection Framework.
ICPR (6)
Naiyu Yin, Yue Yu, Tian Gao, Qiang Ji
2024 J jnl
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators.
CoRR
Yiming Fan, Habib N. Najm, Yue Yu, Stewart Silling, Marta D'Elia
2024 A* conf
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws.
ICML
Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Lu Zhang, Yue Yu
2024 J jnl
Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements.
CoRR
Siavash Jafarzadeh, Stewart Silling, Lu Zhang, Colton J. Ross, Chung-Hao Lee, S. M. Rakibur Rahman, Shuodao Wang, Yue Yu
2024 — conf
Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization.
ECCV (10)
Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji
2024 J jnl
Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties.
CoRR
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer, Shuna Ni, Jim Lua, Yue Yu
2024 A* conf
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery.
NeurIPS
Yue Yu, Ning Liu, Fei Lu, Tian Gao, Siavash Jafarzadeh, Stewart A. Silling
2024 J jnl
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery.
CoRR
Yue Yu, Ning Liu, Fei Lu, Tian Gao, Siavash Jafarzadeh, Stewart Silling
2024 J jnl
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses.
CoRR
Siavash Jafarzadeh, Stewart Silling, Ning Liu, Zhongqiang Zhang, Yue Yu
2024 J jnl
The Sparse-Grid-Based Adaptive Spectral Koopman Method.
SIAM J. Sci. Comput.
Bian Li, Yue Yu, Xiu Yang
2023 J jnl
Causal Discovery under Identifiable Heteroscedastic Noise Model.
CoRR
Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji
2023 A* conf
Domain Agnostic Fourier Neural Operators.
NeurIPS
Ning Liu, Siavash Jafarzadeh, Yue Yu
2023 J jnl
Domain Agnostic Fourier Neural Operators.
CoRR
Ning Liu, Siavash Jafarzadeh, Yue Yu
2023 J jnl
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws.
CoRR
Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Yue Yu
2023 A conf
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation.
AISTATS
Ning Liu, Yue Yu, Huaiqian You, Neeraj Tatikola
2023 J jnl
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics.
CoRR
Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu
2023 J jnl
Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures.
CoRR
Huaiqian You, Xiao Xu, Yue Yu, Stewart Silling, Marta D'Elia, John T. Foster
2022 J jnl
A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials.
CoRR
Yiming Fan, Huaiqian You, Xiaochuan Tian, Xiu Yang, Xingjie Li, Naveen Prakash, Yue Yu
2022 J jnl
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements.
CoRR
Huaiqian You, Quinn Zhang, Colton J. Ross, Chung-Hao Lee, Ming-Chen Hsu, Yue Yu
2022 J jnl
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems.
J. Comput. Phys.
Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Li, Clayton Webster, Yue Yu
2022 J jnl
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification.
CoRR
Yiming Fan, Marta D'Elia, Yue Yu, Habib N. Najm, Stewart Silling
2022 A* conf
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data.
ICML
Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu
2022 J jnl
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation.
CoRR
Ning Liu, Yue Yu, Huaiqian You, Neeraj Tatikola
2022 J jnl
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems.
CoRR
Minglang Yin, Enrui Zhang, Yue Yu, George Em Karniadakis
2022 J jnl
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling.
CoRR
Huaiqian You, Quinn Zhang, Colton J. Ross, Chung-Hao Lee, Yue Yu
2022 J jnl
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling.
CoRR
Lu Zhang, Huaiqian You, Yue Yu
2022 J jnl
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network.
CoRR
Huaiqian You, Yue Yu, Marta D'Elia, Tian Gao, Stewart Silling
2022 J jnl
Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network.
J. Comput. Phys.
Huaiqian You, Yue Yu, Marta D'Elia, Tian Gao, Stewart Silling
2022 J jnl
OBMeshfree: An optimization-based meshfree solver for nonlocal diffusion and peridynamics models.
CoRR
Yiming Fan, Huaiqian You, Yue Yu
2022 J jnl
Physics-Informed Deep Neural Operator Networks.
CoRR
Somdatta Goswami, Aniruddha Bora, Yue Yu, George Em Karniadakis
2021 J jnl
A data-driven peridynamic continuum model for upscaling molecular dynamics.
CoRR
Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia
2021 J jnl
A physics-informed variational DeepONet for predicting the crack path in brittle materials.
CoRR
Somdatta Goswami, Minglang Yin, Yue Yu, George E. Karniadakis
2021 J jnl
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems.
CoRR
Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Li, Clayton Webster, Yue Yu
2021 J jnl
An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture.
CoRR
Yue Yu, Huaiqian You, Nathaniel Trask
2021 A* conf
DAGs with No Curl: An Efficient DAG Structure Learning Approach.
ICML
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji
2021 J jnl
DAGs with No Curl: An Efficient DAG Structure Learning Approach.
CoRR
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji
2021 — conf
Data-driven Learning of Nonlocal Models: from high-fidelity simulations to constitutive laws.
AAAI Spring Symposium: MLPS
Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia
2020 J jnl
A Physically Consistent, Flexible, and Efficient Strategy to Convert Local Boundary Conditions into Nonlocal Volume Constraints.
SIAM J. Sci. Comput.
Marta D'Elia, Xiaochuan Tian, Yue Yu
2020 A* conf
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks.
NeurIPS
Dennis Wei, Tian Gao, Yue Yu
2020 J jnl
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks.
CoRR
Dennis Wei, Tian Gao, Yue Yu
2020 J jnl
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws.
CoRR
Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia
2020 J jnl
Data-driven learning of robust nonlocal physics from high-fidelity synthetic data.
CoRR
Huaiqian You, Yue Yu, Nathaniel Trask, Mamikon A. Gulian, Marta D'Elia
2020 — conf
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning.
EMNLP (Findings)
Lu Zhang, Mo Yu, Tian Gao, Yue Yu
2020 J jnl
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning.
CoRR
Lu Zhang, Mo Yu, Tian Gao, Yue Yu
2019 J jnl
An Asymptotically Compatible Approach For Neumann-Type Boundary Condition On Nonlocal Problems.
CoRR
Huaiqian You, Xin Yang Lu, Nathaniel Trask, Yue Yu
2019 J jnl
An Asymptotically Compatible Formulation for Local-to-Nonlocal Coupling Problems without Overlapping Regions.
CoRR
Huaiqian You, Yue Yu, David Kamensky
2019 A* conf
DAG-GNN: DAG Structure Learning with Graph Neural Networks.
ICML
Yue Yu, Jie Chen, Tian Gao, Mo Yu
2019 J jnl
DAG-GNN: DAG Structure Learning with Graph Neural Networks.
CoRR
Yue Yu, Jie Chen, Tian Gao, Mo Yu
2016 J jnl
Fractional modeling of viscoelasticity in 3D cerebral arteries and aneurysms.
J. Comput. Phys.
Yue Yu, Paris Perdikaris, George E. Karniadakis
2016 J jnl
Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysms.
Parallel Comput.
Paris Perdikaris, Joseph A. Insley, Leopold Grinberg, Yue Yu, Michael E. Papka, George E. Karniadakis
2013 J jnl
Generalized fictitious methods for fluid-structure interactions: Analysis and simulations.
J. Comput. Phys.
Yue Yu, Hyoungsu Baek, George E. Karniadakis