Dongxiao Zhang

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 83

Top Topics

Physical Processes

Differential Equations

Top Venues

J. Comput. Phys.

IEEE Signal Process. Lett.

Publications

Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning. CoRR (2024)
Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy. CoRR (2024)
Rui Xu, Dongxiao Zhang
Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches. Comput. Geosci. 188 (2024)
Jianxiang Qiu, Jialiang Xie, Dongxiao Zhang, Ruping Zhang
A robust twin support vector machine based on fuzzy systems. Int. J. Intell. Comput. Cybern. 17 (1) (2024)
Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. CoRR (2024)
Wenchao Wu, Hao Xu, Dongxiao Zhang, Fanyang Mo
Intelligent Chemical Purification Technique Based on Machine Learning. CoRR (2024)
Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM. CoRR (2024)
Dongxiao Zhang, Tangyao Qi, Juhao Gao
Transformer-based image super-resolution and its lightweight. Multim. Tools Appl. 83 (26) (2024)
Dongxiao Zhang, Ni Tang, Yanyun Qu
Joint Motion Deblurring and Super-Resolution for Single Image Using Diffusion Model and GAN. IEEE Signal Process. Lett. 31 (2024)
Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang
Two kinds of average approximation accuracy. CAAI Trans. Intell. Technol. 9 (2) (2024)
Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang
LLM4ED: Large Language Models for Automatic Equation Discovery. CoRR (2024)
Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research. CoRR (2024)
Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain. CoRR (2024)
Ni Tang, Dongxiao Zhang, Juhao Gao, Yanyun Qu
FSRDiff: A fast diffusion-based super-resolution method using GAN. J. Vis. Commun. Image Represent. 101 (2024)
Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 127 (2024)
Longfei Ma, Nan Cheng, Xiucheng Wang, Jiong Chen, Yinjun Gao, Dongxiao Zhang, Jun-Jie Zhang
Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development. CoRR (2024)
Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR (2023)
Hao Xu, Yuntian Chen, Dongxiao Zhang
Worth of knowledge in deep learning. CoRR (2023)
Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CoRR (2023)
Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN. CoRR (2023)
Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang
Physics-constrained robust learning of open-form PDEs from limited and noisy data. CoRR (2023)
Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
Discrete Point-Wise Attack is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CVPR (2023)
Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. CoRR (2023)
Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang
Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery. CoRR (2023)
Mengge Du, Yuntian Chen, Dongxiao Zhang
AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. IEEE Trans. Artif. Intell. 4 (6) (2023)
Ding Zhang, Ni Tang, Dongxiao Zhang, Yanyun Qu
Cascaded Degradation-Aware Blind Super-Resolution. Sensors 23 (11) (2023)
Hao Xu, Wei Fan, Ambrose C. Taylor, Dongxiao Zhang, Lecheng Ruan, Rundong Shi
Crack-Net: Prediction of Crack Propagation in Composites. CoRR (2023)
Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang
A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing. CoRR (2023)
Yuntian Chen, Dongxiao Zhang
Integration of knowledge and data in machine learning. CoRR (2022)
Mengge Du, Yuntian Chen, Dongxiao Zhang
AutoKE: An automatic knowledge embedding framework for scientific machine learning. CoRR (2022)
Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR (2022)
Qingzhao Kong, Weihua Xu, Dongxiao Zhang
A comparative study of different granular structures induced from the information systems. Soft Comput. 26 (1) (2022)
Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo
High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques. CoRR (2022)
Hao Xu, Yuntian Chen, Dongxiao Zhang
Semantic interpretation for convolutional neural networks: What makes a cat a cat? CoRR (2022)
Jian Li, Dongxiao Zhang, Tianhao He, Qiang Zheng
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model. CoRR (2022)
Nanzhe Wang, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang
Deep learning based closed-loop optimization of geothermal reservoir production. CoRR (2022)
Hao Xu, Junsheng Zeng, Dongxiao Zhang
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion. CoRR (2022)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. J. Comput. Phys. 466 (2022)
Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. CoRR (2022)
Qiang Zheng, Xiaoguang Yin, Dongxiao Zhang
Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks. CoRR (2022)
Tianhao He, Haibin Chang, Dongxiao Zhang
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net. CoRR (2022)
Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network. CoRR (2022)
Mengge Du, Yuntian Chen, Dongxiao Zhang
DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning. CoRR (2022)
Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu
Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development. CoRR (2022)
Qiang Zheng, Dongxiao Zhang
RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation. CoRR (2021)
Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. J. Comput. Phys. 436 (2021)
Hao Xu, Dongxiao Zhang, Nanzhe Wang
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. J. Comput. Phys. 445 (2021)
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. J. Comput. Phys. 445 (2021)
Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR (2021)
Pengfei Tang, Junsheng Zeng, Dongxiao Zhang, Heng Li
Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network. CoRR (2021)
Xing Luo, Dongxiao Zhang
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation. CoRR (2021)
Hao Xu, Dongxiao Zhang
Robust discovery of partial differential equations in complex situations. CoRR (2021)
Rui Xu, Dongxiao Zhang, Nanzhe Wang
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network. CoRR (2021)
Olwijn Leeuwenburgh, Alexandre A. Emerick, Behnam Jafarpour, Dongxiao Zhang, Xiaodong Luo
Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science. Frontiers Appl. Math. Stat. 7 (2021)
Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR (2021)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. CoRR (2021)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. CoRR (2020)
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. CoRR (2020)
Tianhao He, Dongxiao Zhang
Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network. CoRR (2020)
Yihua Teng, Dongxiao Zhang
Comprehensive study and comparison of equilibrium and kinetic models in simulation of hydrate reaction in porous media. J. Comput. Phys. 404 (2020)
Hao Xu, Haibin Chang, Dongxiao Zhang
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. J. Comput. Phys. 418 (2020)
Qiang Zheng, Dongxiao Zhang
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks. CoRR (2020)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. CoRR (2020)
Yuntian Chen, Dongxiao Zhang
Physics-constrained indirect supervised learning. CoRR (2020)
Yuntian Chen, Dongxiao Zhang
Ensemble long short-term memory (EnLSTM) network. CoRR (2020)
Yuntian Chen, Dongxiao Zhang
Physics-Constrained Deep Learning of Geomechanical Logs. IEEE Trans. Geosci. Remote. Sens. 58 (8) (2020)
Hao Xu, Haibin Chang, Dongxiao Zhang
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. CoRR (2020)
Hao Xu, Dongxiao Zhang, Nanzhe Wang
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. CoRR (2020)
Miao Rong, Dongxiao Zhang, Nanzhe Wang
A Lagrangian Dual-based Theory-guided Deep Neural Network. CoRR (2020)
Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow. CoRR (2020)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. CoRR (2020)
Hao Xu, Dongxiao Zhang, Junsheng Zeng
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data. CoRR (2020)
Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang
Ensemble Neural Networks (ENN): A gradient-free stochastic method. CoRR (2019)
Chengsheng Yang, Dongxiao Zhang, Chaoying Zhao, Bingquan Han, Ruiqi Sun, Jiantao Du, Liquan Chen
Ground Deformation Revealed by Sentinel-1 MSBAS-InSAR Time-Series over Karamay Oilfield, China. Remote. Sens. 11 (17) (2019)
Haibin Chang, Dongxiao Zhang
Identification of physical processes via combined data-driven and data-assimilation methods. J. Comput. Phys. 393 (2019)
Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li
Deep Learning of Subsurface Flow via Theory-guided Neural Network. CoRR (2019)
Chengsheng Yang, Bingquan Han, Chaoying Zhao, Jiantao Du, Dongxiao Zhang, Sainan Zhu
7.3 Iran Earthquake (2017) Revealed by Sentinel-1 InSAR Observations. Remote. Sens. 11 (4) (2019)
Hao Xu, Haibin Chang, Dongxiao Zhang
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data. CoRR (2019)
Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang
Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks 110 (2019)
Lifeng Li, Dongxiao Zhang
0-1 linear integer programming method for granule knowledge reduction and attribute reduction in concept lattices. Soft Comput. 23 (2) (2019)
Haibin Chang, Dongxiao Zhang
Identification of physical processes via combined data-driven and data-assimilation methods. CoRR (2018)
Huan Huang, Congxin Wu, Jialiang Xie, Dongxiao Zhang
Approximation of fuzzy numbers using the convolution method. Fuzzy Sets Syst. 310 (2017)
Qinzhuo Liao, Dongxiao Zhang, Hamdi A. Tchelepi
A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media. J. Comput. Phys. 330 (2017)
Dongxiao Zhang, Pierre-Marc Jodoin, Cuihua Li, Yun-Dong Wu, Guo-Rong Cai
Novel Graph Cuts Method for Multi-Frame Super-Resolution. IEEE Signal Process. Lett. 22 (12) (2015)
Wei Wu, Xiang Li, Lei He, Dongxiao Zhang
Accelerating the iterative linear solver for reservoir simulation on multicore architectures. ICPADS (2014)
Weixuan Li, Guang Lin, Dongxiao Zhang
An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling. J. Comput. Phys. 258 (2014)
Haibin Chang, Dongxiao Zhang, Zhiming Lu
History matching of facies distribution with the EnKF and level set parameterization. J. Comput. Phys. 229 (20) (2010)
Zhiming Lu, Dongxiao Zhang
Stochastic Simulations for Flow in Nonstationary Randomly Heterogeneous Porous Media Using a KL-Based Moment-Equation Approach. Multiscale Model. Simul. 6 (1) (2007)
Zhiming Lu, Dongxiao Zhang
A Comparative Study on Uncertainty Quantification for Flow in Randomly Heterogeneous Media Using Monte Carlo Simulations and Conventional and KL-Based Moment-Equation Approaches. SIAM J. Sci. Comput. 26 (2) (2004)
Mingye Liu, Dongxiao Zhang, Qingping Xu
Technical decisions on several key problems in VHDL high level synthesis system. J. Comput. Sci. Technol. 14 (6) (1999)