Wing Kam Liu - RankMe

37 papers A* 1Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Interpolating Neural Network (B-INN): a scalable and reliable Bayesian model for large-scale physical systems. CoRR Chanwook Park, Brian Kim, Jiachen Guo, Wing Kam Liu
2026	J	`jnl`	CM-GAI: Continuum Mechanistic Generative Artificial Intelligence Theory for Data Dynamics. CoRR Shan Tang, Ziwei Cao, Zhenling Yang, Jiachen Guo, Yicheng Lu, Wing Kam Liu, Xu Guo
2026	J	`jnl`	Efficient GPU-computing simulation platform JAX-PF for differentiable phase field model. CoRR Fanglei Hu, Jiachen Guo, Stephen Niezgoda, Wing Kam Liu, Jian Cao
2025	J	`jnl`	A Convolutional Hierarchical Deep-learning Neural Network (C-HiDeNN) Framework for Non-linear Finite Element/Meshfree Analysis. CoRR Yingjian Liu, Monish Yadav Pabbala, Jiachen Guo, Chanwook Park, Gino Domel, Wing Kam Liu, Dong Qian
2025	J	`jnl`	Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN). CoRR Reza T. Batley, Chanwook Park, Wing Kam Liu, Sourav Saha
2025	A*	`conf`	Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems. ICML Jiachen Guo, Xiaoyu Xie, Chanwook Park, Hantao Zhang, Matthew Politis, Gino Domel, Wing Kam Liu
2025	J	`jnl`	Interpolation Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems. CoRR Jiachen Guo, Xiaoyu Xie, Chanwook Park, Hantao Zhang, Matthew Politis, Gino Domel, Thomas J. R. Hughes, Wing Kam Liu
2025	J	`jnl`	Large language model-empowered next-generation computer-aided engineering. CoRR Jiachen Guo, Chanwook Park, Dong Qian, Thomas J. R. Hughes, Wing Kam Liu
2025	J	`jnl`	MultiLevel Variational MultiScale (ML-VMS) framework for large-scale simulation. CoRR Lei Zhang, Jiachen Guo, Shaoqiang Tang, Thomas J. R. Hughes, Wing Kam Liu
2025	J	`jnl`	Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations. CoRR Jiachen Guo, Gino Domel, Chanwook Park, Hantao Zhang, Ozgur Can Gumus, Ye Lu, Gregory J. Wagner, Dong Qian, Jian Cao, Thomas J. R. Hughes, Wing Kam Liu
2025	J	`jnl`	Time-marching multi-level variational multiscale tensor decomposition algorithm for heat conduction with moving heat source. CoRR Xinyi Guan, Jiayi Hu, Lei Zhang, Shaoqiang Tang, Wing Kam Liu
2024	J	`jnl`	Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. CoRR Jiachen Guo, Chanwook Park, Xiaoyu Xie, Zhongsheng Sang, Gregory J. Wagner, Wing Kam Liu
2024	J	`jnl`	Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. CoRR Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
2024	J	`jnl`	Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network. CoRR Lei Zhang, Chanwook Park, Thomas J. R. Hughes, Wing Kam Liu
2024	J	`jnl`	Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores. CoRR Wei Liu, Satyajit Mojumder, Wing Kam Liu, Wei Chen, Daniel W. Apley
2023	J	`jnl`	Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty. CoRR Ye Lu, Satyajit Mojumder, Jiachen Guo, Yangfan Li, Wing Kam Liu
2023	J	`jnl`	JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. Comput. Phys. Commun. Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao
2023	—	`conf`	Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. IC3 Vishu Gupta, Yuhui Lyu, Derick Suarez, Yuwei Mao, Wei-keng Liao, Alok N. Choudhary, Wing Kam Liu, Gianluca Cusatis, Ankit Agrawal
2023	J	`jnl`	Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process. CoRR Yangfan Li, Satyajit Mojumder, Ye Lu, Abdullah Al Amin, Jiachen Guo, Xiaoyu Xie, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
2022	J	`jnl`	An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis. CoRR Owen Huang, Sourav Saha, Jiachen Guo, Wing Kam Liu
2022	J	`jnl`	Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research. CoRR Sourav Saha, Chanwook Park, Stefan Knapik, Jiachen Guo, Owen Huang, Wing Kam Liu
2022	J	`jnl`	JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. CoRR Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao
2022	J	`jnl`	Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks. Eng. Comput. Mahsa Tajdari, Farzam Tajdari, Pouyan Shirzadian, Aishwarya Pawar, Mirwais Wardak, Sourav Saha, Chanwook Park, Toon Huysmans, Yu Song, Yongjie Jessica Zhang, John F. Sarwark, Wing Kam Liu
2022	J	`jnl`	Stochastic additive manufacturing simulation: from experiment to surface roughness and porosity prediction. CoRR Yangfan Li, Ye Lu, Abdullah Al Amin, Wing Kam Liu
2021	J	`jnl`	Eighty Years of the Finite Element Method: Birth, Evolution, and Future. CoRR Wing Kam Liu, Shaofan Li, Harold Park
2021	J	`jnl`	HiDeNN-PGD: reduced-order hierarchical deep learning neural networks. CoRR Lei Zhang, Ye Lu, Shaoqiang Tang, Wing Kam Liu
2013	J	`jnl`	Computational microstructure characterization and reconstruction for stochastic multiscale material design. Comput. Aided Des. Yu Liu, M. Steven Greene, Wei Chen, Dmitriy A. Dikin, Wing Kam Liu
2013	J	`jnl`	Intersection-free tetrahedral meshing from volumetric images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Jin Qian, Yongjie Zhang, Devin Thomas O'Connor, M. Steven Greene, Wing Kam Liu
2012	J	`jnl`	Electric Field Guided Assembly of One-Dimensional Nanostructures for High Performance Sensors. Sensors Devon A. Brown, Jong-Hoon Kim, Hyun-Boo Lee, Gareth Fotouhi, Kyong-Hoon Lee, Wing Kam Liu, Jae-Hyun Chung
2009	J	`jnl`	Erratum to "On computational issues of immersed finite element methods" [J. Comput. Phys 228 (2009) 2535-2551]. J. Comput. Phys. X. Sheldon Wang, Lucy T. Zhang, Wing Kam Liu
2009	J	`jnl`	On computational issues of immersed finite element methods. J. Comput. Phys. X. Sheldon Wang, Lucy T. Zhang, Wing Kam Liu
2007	J	`jnl`	Extrinsic meshfree approximation using asymptotic expansion for interfacial discontinuity of derivative. J. Comput. Phys. Do Wan Kim, Young-Cheol Yoon, Wing Kam Liu, Ted Belytschko
2006	J	`jnl`	A pseudo-spectral multiscale method: Interfacial conditions and coarse grid equations. J. Comput. Phys. Shaoqiang Tang, Thomas Y. Hou, Wing Kam Liu
2006	J	`jnl`	Domain reduction method for atomistic simulations. J. Comput. Phys. Sergey N. Medyanik, Eduard G. Karpov, Wing Kam Liu
2006	J	`jnl`	Maximum principle and convergence analysis for the meshfree point collocation method. SIAM J. Numer. Anal. Do Wan Kim, Wing Kam Liu
2006	J	`jnl`	Rheology of red blood cell aggregation by computer simulation. J. Comput. Phys. Yaling Liu, Wing Kam Liu
2005	J	`jnl`	Flexible piecewise approximations based on partition of unity. Adv. Comput. Math. Weimin Han, Wing Kam Liu