Improved Particle Swarm Optimization-Based Form-Finding Method for Suspension Bridge Installation Analysis. - Zhijun Chen; Hongyou Cao; Kun Ye; Hongping Zhu; Shaofan Li (J. Comput. Civ. Eng., 2015)

An adhesive contact mechanics formulation based on atomistically induced surface traction. - Houfu Fan; Bo Ren; Shaofan Li (J. Comput. Phys., 2015)

An updated Lagrangian particle hydrodynamics (ULPH) for Newtonian fluids. - Qingsong Tu; Shaofan Li (J. Comput. Phys., 2017)

Updated Lagrangian Particle Hydrodynamics (ULPH) modeling and simulation of multiphase flows. - Jiale Yan; Shaofan Li; A-Man Zhang; Xingyu Kan; Peng-Nan Sun (J. Comput. Phys., 2019)

Rapid Prediction of Brain Injury Pattern in mTBI by Combining FE Analysis With a Machine-Learning Based Approach. - Vickie B. Shim; Samantha J. Holdsworth; Allen A. Champagne; Nicole S. Coverdale; Douglas J. Cook; Tae-Rin Lee; Alan D. Wang 001; Shaofan Li; Justin W. Fernandez (IEEE Access, 2020)

An Artificial-intelligence/Statistics Solution to Quantify Material Distortion for Thermal Compensation in Additive Manufacturing. - Chao Wang; Shaofan Li; Danielle Zeng; Xinhai Zhu (CoRR, 2020)

Eighty Years of the Finite Element Method: Birth, Evolution, and Future. - Wing Kam Liu; Shaofan Li; Harold Park (CoRR, 2021)

A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE). - Miao Su; Hui Peng; Shaofan Li (Expert Syst. Appl., 2021)

Combining advanced magnetic resonance imaging (MRI) with finite element (FE) analysis for characterising subject-specific injury patterns in the brain after traumatic brain injury. - Vickie B. Shim; Maryam Tayebi; Eryn Kwon; Sarah Jane Guild; Miriam Scadeng; David J. Dubowitz; Fiona McBryde; Samuel Rosset; Alan Wang 001; Justin Fernandez 001; Shaofan Li; Samantha J. Holdsworth (Eng. Comput., 2022)

An adhesive Gurtin-Murdoch surface hydrodynamics theory of moving contact line and modeling of droplet wettability on soft substrates. - Yuxi Xie; Shaofan Li; Xuan Hu; Dana Bishara (J. Comput. Phys., 2022)

Peridynamic modeling and simulation of thermo-mechanical fracture in inhomogeneous ice. - Ying Song; Shaofan Li; Yunbo Li (Eng. Comput., 2023)

The influence of model and measurement uncertainties on damage detection of experimental structures through recursive algorithms. - Mehrdad Ebrahimi; Elnaz Nobahar; Reza Karami-Mohammadi; Ehsan Noroozinejad Farsangi; Mohammad N. Noori; Shaofan Li (Reliab. Eng. Syst. Saf., 2023)

YOLO-RDS: An efficient algorithm for monitoring the uprightness of seedling transplantation. - Xin Jin 013; Xiaowu Zhu; Liqiang Xiao; Mingyong Li; Shaofan Li; Bo Zhao; Jiangtao Ji 001 (Comput. Electron. Agric., 2024)

A Message Passing Neural Network Surrogate Model for Bond-Associated Peridynamic Material Correspondence Formulation. - Xuan Hu; Qijun Chen; Nicholas H. Luo; Richy J. Zheng; Shaofan Li (CoRR, 2024)

MMPC-Net: Multigranularity and Multiscale Progressive Contrastive Learning Neural Network for Remote Sensing Image Scene Classification. - Shaofan Li; Mingjun Dai; Bingchun Li (IEEE Geosci. Remote. Sens. Lett., 2024)

Artificial Intelligence Aided Design (AIAD) of Hull Form of Unmanned Underwater Vehicles (UUVs) for Minimization of Energy Consumption. - Yu Ao; Jian Xu; Dapeng Zhang; Shaofan Li (J. Comput. Inf. Sci. Eng., 2024)

A general finite deformation hypoelastic-plasticity non-ordinary state-based peridynamics model and its applications. - Renwei Liu; Yanzhuo Xue; Shaofan Li (Eng. Comput., 2024)

A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset. - Yuxi Xie; Shaofan Li; C. T. Wu; Zhipeng Lai; Miao Su (J. Intell. Manuf., 2024)

Optimization of transplanting mechanism working parameters based on a coupled machine-soil-pot seedling model. - Xin Jin 013; Guoqing Zhao; Mingyong Li; Shaofan Li; Liming Zhou; Jia Liang; Xiaolin Xie; Bingheng Hou (Comput. Electron. Agric., 2025)

PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning. - Xi Chen; Shaofan Li (CoRR, 2025)

A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System. - Qijun Chen; Shaofan Li (CoRR, 2025)

Updated Lagrangian particle hydrodynamics (ULPH) simulations of underwater bubble motions in three-dimensional space. - Xingyu Kan; Jiale Yan; Shaofan Li; Jingzhu Wang; Yiwei Wang; Yonggang Chen (Eng. Comput., 2025)

A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension. - Chao Wang; Shaofan Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Practical Finite Element Approach for Simulating Dynamic Crack Growth in Cu/Ultra Low-k Interconnect Structures. - Yuxi Xie; Ethan J. Wu; Lu Xu; Jimmy Perez; Shaofan Li (CoRR, 2025)

A GPU-Accelerated Three-Dimensional Crack Element Method for Transient Dynamic Fracture Simulation. - Yuxi Xie; C. T. Wu; Wei Hu; Lu Xu; Tinh Q. Bui; Shaofan Li (CoRR, 2025)