Single curved fiber sedimentation under gravity. - Xiaoying Rong; Dewei Qi; Guowei He; JunYong Zhu; Tim Scott (Comput. Math. Appl., 2008)

High-order adapter schemes for cell-centered finite difference method. - Fei Liao 001; Guowei He (J. Comput. Phys., 2020)

Artificial neural network based response surface for data-driven dimensional analysis. - Zhaoyue Xu; Xinlei Zhang; Shizhao Wang; Guowei He (J. Comput. Phys., 2022)

LLM360: Towards Fully Transparent Open-Source LLMs. - Zhengzhong Liu 001; Aurick Qiao; Willie Neiswanger; Hongyi Wang 001; Bowen Tan; Tianhua Tao; Junbo Li; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2023)

Combining direct and indirect sparse data for learning generalizable turbulence models. - Xinlei Zhang; Heng Xiao; Xiaodong Luo; Guowei He (J. Comput. Phys., 2023)

An interface-resolved phase-change model based on velocity decomposition. - Min Lu; Zixuan Yang; Guowei He (J. Comput. Phys., 2023)

A cache-efficient reordering method for unstructured meshes with applications to wall-resolved large-eddy simulations. - Yi Liu; Hongping Wang; Shizhao Wang; Guowei He (J. Comput. Phys., 2023)

ZDDR: A Zero-Shot Defender for Adversarial Samples Detection and Restoration. - Musheng Chen; Guowei He; Junhua Wu (IEEE Access, 2024)

Optimal sensor placement for ensemble-based data assimilation using gradient-weighted class activation mapping. - Zhaoyue Xu; Shizhao Wang; Xinlei Zhang; Guowei He (J. Comput. Phys., 2024)

Parallel ensemble Kalman method with total variation regularization for large-scale field inversion. - Xin-Lei Zhang; Lei Zhang; Guowei He (J. Comput. Phys., 2024)

A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence. - Zhideng Zhou; Shilong Li; Guowei He; Xiaolei Yang (J. Comput. Phys., 2024)

A framework for learning symbolic turbulence models from indirect observation data via neural networks and feature importance analysis. - Chutian Wu; Xin-Lei Zhang; Duo Xu; Guowei He (J. Comput. Phys., 2025)

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. - Zhengzhong Liu 001; Bowen Tan; Hongyi Wang 001; Willie Neiswanger; Tianhua Tao; Haonan Li 002; Fajri Koto; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2025)

MegaMath: Pushing the Limits of Open Math Corpora. - Fan Zhou; Zengzhi Wang; Nikhil Ranjan; Zhoujun Cheng; Liping Tang; Guowei He; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2025)