Long-Time Stability and Convergence of the Uniaxial Perfectly Matched Layer Method for Time-Domain Acoustic Scattering Problems. - Zhiming Chen; Xinming Wu (SIAM J. Numer. Anal., 2012)

Error Estimates of the Finite Element Method for Interior Transmission Problems. - Xinming Wu; Wenbin Chen 006 (J. Sci. Comput., 2013)

A new hybrid stochastic approximation algorithm. - Zi Xu; Xinming Wu (Optim. Lett., 2013)

C2B Orders Decision-making in Multiple Supply Chains Under Cloud Manufacturing. - Xingjian Zhou; Xinming Wu; Xiaogang Ma 002; Niu Yu (WHICEB, 2017)

Methods to enhance seismic faults and construct fault surfaces. - Xinming Wu; Zhihui Zhu (Comput. Geosci., 2017)

A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates. - Xinming Wu; Zaiwen Wen; Weizhu Bao (J. Sci. Comput., 2017)

A Multilevel Correction Method for Interior Transmission Eigenvalue Problem. - Hehu Xie; Xinming Wu (J. Sci. Comput., 2017)

On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems. - Gang Li 010; Zhihui Zhu; Xinming Wu; Beiping Hou (Digit. Signal Process., 2018)

Ground states and their characterization of spin-F Bose-Einstein condensates. - Tonghua Tian; Yongyong Cai; Xinming Wu; Zaiwen Wen (CoRR, 2019)

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. - Luming Liang; Sen Deng; Lionel Gueguen; Mingqiang Wei; Xinming Wu; Jing Qin 001 (CoRR, 2019)

Hankel Low-Rank Approximation for Seismic Noise Attenuation. - Chong Wang 020; Zhihui Zhu; Hanming Gu; Xinming Wu; Shuaiqi Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural Network. - Xinming Wu; Yunzhi Shi; Sergey Fomel; Luming Liang; Qie Zhang; Anar Z. Yusifov (IEEE Trans. Geosci. Remote. Sens., 2019)

A splitting Fourier pseudospectral method for Vlasov-Poisson-Fokker-Planck system. - Hanquan Wang; Ronghua Cheng; Xinming Wu (Comput. Math. Appl., 2020)

Ground States of Spin-F Bose-Einstein Condensates. - Tonghua Tian; Yongyong Cai; Xinming Wu; Zaiwen Wen (SIAM J. Sci. Comput., 2020)

Convolutional neural network with median layers for denoising salt-and-pepper contaminations. - Luming Liang; Seng Deng; Lionel Gueguen; Mingqiang Wei; Xinming Wu; Jing Qin 001 (Neurocomputing, 2021)

Finite Element Approximation of the Modified Maxwell's Stekloff Eigenvalues. - Bo Gong; Jiguang Sun; Xinming Wu (SIAM J. Numer. Anal., 2021)

ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial-Spectral Maps. - Fangyu Li; Huailai Zhou; Zengyan Wang; Xinming Wu (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep learning based sferics recognition for AMT data processing in the dead band. - Enhua Jiang; Rujun Chen; Xinming Wu; Jianxin Liu; Debin Zhu; Weiqiang Liu 004 (CoRR, 2022)

Deep Learning for Enhancing Multisource Reverse Time Migration. - Yaxing Li; Xiaofeng Jia; Xinming Wu; Zhicheng Geng (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising. - Jintao Li; Xinming Wu; Zhanxuan Hu (IEEE Trans. Geosci. Remote. Sens., 2022)

Seismic Horizon Identification Using Semi-Supervised Learning With Virtual Adversarial Training. - Fu Wang; Xinming Wu; Huazhong Wang (IEEE Trans. Geosci. Remote. Sens., 2022)

A Deep-Learning-Based Neural Decoding Framework for Emotional Brain-Computer Interfaces. - Xinming Wu; Ji Dai (CoRR, 2023)

Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN). - Xu Si; Xinming Wu; Zefeng Li; Shenghou Wang; Jun Zhu (CoRR, 2023)

SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction. - Xu Si; Xinming Wu; Hanlin Sheng; Jun Zhu; Zefeng Li (CoRR, 2023)

A Multi-Task Learning Method for Relative Geologic Time, Horizons, and Faults With Prior Information and Transformer. - Jiarun Yang; Xinming Wu; Zhengfa Bi; Zhicheng Geng (IEEE Trans. Geosci. Remote. Sens., 2023)

A finite element method with energy-adaptive grids for the coupled Schrödinger-Poisson-drift-diffusion model. - Pengcong Mu; Xinming Wu; Weiying Zheng (J. Comput. Phys., 2023)

Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis. - Zhixiang Guo; Xinming Wu; Luming Liang; Hanlin Sheng; Nuo Chen; Zhengfa Bi (CoRR, 2024)

A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys. - Hang Gao; Xinming Wu; Luming Liang; Hanlin Sheng; Xu Si; Gao Hui; Yaxing Li (CoRR, 2024)

FlexLogNet: A flexible deep learning-based well-log completion method of adaptively using what you have to predict what you are missing. - Chuanli Dai; Xu Si; Xinming Wu (Comput. Geosci., 2024)

MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis. - Long Han; Xinming Wu; Zhanxuan Hu; Jintao Li; Huijing Fang (Comput. Geosci., 2024)

SeisCLIP: A Seismology Foundation Model Pre-Trained by Multimodal Data for Multipurpose Seismic Feature Extraction. - Xu Si; Xinming Wu; Hanlin Sheng; Jun Zhu; Zefeng Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Completing Any Borehole Images. - Zhiguo Yang; Xinming Wu; Xu Pang; Hanlin Sheng; Xu Si; Guangyu Wang; Liu Yang; Chaofeng Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Enhancing Deep Learning for Seismic Interpretation With Constraints From Seismic Attributes: A Fault Detection Case Study. - Wen Zhang; Xinming Wu; Guangyu Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

IPAD-DB: a manually curated database for experimentally verified inhibitors of proteins associated with Alzheimer's disease. - Chong Peng 002; Xiaofeng Liu; Xiangbo Meng; Congge Chen; Xinming Wu; Lin Bai; Fuping Lu; Fufeng Liu (Database J. Biol. Databases Curation, 2024)

Missing log prediction using machine learning perspectives: A case study from upper Assam basin. - Bappa Mukherjee; Kalachand Sain; Xinming Wu (Earth Sci. Informatics, 2024)

Deep Learning for Seismic Imaging in the Presence of Velocity Errors. - Sanfu Li; Yaxing Li; Yunzhi Shi; Xinming Wu; Xiaofeng Jia (IEEE Geosci. Remote. Sens. Lett., 2025)

A Geologically Informed and Data-Driven AI Workflow for Fully Seismic Stratigraphic Interpretation of Sedimentary Basin. - Hui Gao; Xinming Wu; Xuesong Ding (IEEE Trans. Geosci. Remote. Sens., 2025)

Kernel Prediction Network for Offset Domain Common Image Gather Flattening and Correction. - Ziang Li; Xinming Wu; Peimin Zhu; Luming Liang; Yuhang Wang; Wei Cai; Hao Zhang 116; Zhiying Liao (IEEE Trans. Geosci. Remote. Sens., 2025)

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation. - Zibo Zhao; Zeqiang Lai; Qingxiang Lin; Yunfei Zhao; Haolin Liu; Shuhui Yang; Yifei Feng; Mingxin Yang; Sheng Zhang; Xianghui Yang; Huiwen Shi; Sicong Liu; et al. (CoRR, 2025)

FEM-DtN-SIM Method for Computing Resonances of Schrödinger Operators. - Bo Gong; Takumi Sato; Jiguang Sun; Xinming Wu (CoRR, 2025)

On the workflow, opportunities and challenges of developing foundation model in geophysics. - Hanlin Sheng; Xinming Wu; Hang Gao; Haibin Di; Sergey Fomel; Jintao Li; Xu Si (CoRR, 2025)

Geological Everything Model 3D: A Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding. - Yimin Dou; Xinming Wu; Nathan L. Bangs; Harpreet Singh Sethi; Jintao Li; Hang Gao; Zhixiang Guo (CoRR, 2025)

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels. - HunyuanWorld Team; Zhenwei Wang; Yuhao Liu; Junta Wu; Zixiao Gu; Haoyuan Wang; Xuhui Zuo; Tianyu Huang; Wenhuan Li; Sheng Zhang; Yihang Lian; Yulin Tsai; et al. (CoRR, 2025)

A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys. - Hang Gao; Xinming Wu; Luming Liang; Hanlin Sheng; Xu Si; Hui Gao; Yaxing Li (Inf. Fusion, 2026)