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2020 – today
- 2025
[j35]Suihong Song
, Tapan Mukerji, Dongxiao Zhang:
Physics-informed multi-grid neural operator: Theory and an application to porous flow simulation. J. Comput. Phys. 520: 113438 (2025)- [j34]Dongxiao Zhang, Ni Tang, Juhao Gao:
A novel approach to multi-frame image super resolution using an innovative filter and pixel selection mechanism. Signal Image Video Process. 19(1): 73 (2025) - 2024
- [j33]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: 103584 (2024) - [j32]Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang:
Two kinds of average approximation accuracy. CAAI Trans. Intell. Technol. 9(2): 481-490 (2024) - [j31]Rui Xu, Dongxiao Zhang:
Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches. Comput. Geosci. 188: 105611 (2024) - [j30]Jianxiang Qiu, Jialiang Xie, Dongxiao Zhang, Ruping Zhang, Mingwei Lin:
A Fuzzy Twin Support Vector Machine Based on Dissimilarity Measure and Its Biomedical Applications. Int. J. Fuzzy Syst. 26(8): 2750-2766 (2024) - [j29]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): 101-125 (2024) - [j28]Ni Tang, Dongxiao Zhang, Juhao Gao, Yanyun Qu:
FSRDiff: A fast diffusion-based super-resolution method using GAN. J. Vis. Commun. Image Represent. 101: 104164 (2024) - [j27]Dongxiao Zhang, Tangyao Qi, Juhao Gao:
Transformer-based image super-resolution and its lightweight. Multim. Tools Appl. 83(26): 68625-68649 (2024) - [j26]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: 736-740 (2024) - [j25]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. IEEE Trans. Mob. Comput. 23(12): 11781-11793 (2024) - [c3]Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen:
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CVPR 2024: 24442-24451 - [i58]Wenchao Wu, Hao Xu, Dongxiao Zhang, Fanyang Mo:
Intelligent Chemical Purification Technique Based on Machine Learning. CoRR abs/2404.09114 (2024) - [i57]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 abs/2404.10401 (2024) - [i56]Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang:
LLM4ED: Large Language Models for Automatic Equation Discovery. CoRR abs/2405.07761 (2024) - [i55]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 abs/2405.08668 (2024) - [i54]Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang:
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. CoRR abs/2406.03808 (2024) - [i53]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 abs/2406.03849 (2024) - [i52]Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang:
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning. CoRR abs/2406.04575 (2024) - [i51]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 abs/2406.04743 (2024) - [i50]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 abs/2406.13145 (2024) - [i49]Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan:
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model. CoRR abs/2408.00601 (2024) - 2023
- [j24]Ding Zhang, Ni Tang, Dongxiao Zhang, Yanyun Qu:
Cascaded Degradation-Aware Blind Super-Resolution. Sensors 23(11): 5338 (2023) - [j23]Mengge Du, Yuntian Chen, Dongxiao Zhang:
AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. IEEE Trans. Artif. Intell. 4(6): 1564-1578 (2023) - [c2]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: 20575-20584 - [i48]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 abs/2301.06083 (2023) - [i47]Hao Xu, Yuntian Chen, Dongxiao Zhang:
Worth of knowledge in deep learning. CoRR abs/2307.00712 (2023) - [i46]Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang:
Physics-constrained robust learning of open-form PDEs from limited and noisy data. CoRR abs/2309.07672 (2023) - [i45]Hao Xu, Wei Fan, Ambrose C. Taylor, Dongxiao Zhang, Lecheng Ruan, Rundong Shi:
Crack-Net: Prediction of Crack Propagation in Composites. CoRR abs/2309.13626 (2023) - [i44]Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang:
Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery. CoRR abs/2309.15400 (2023) - [i43]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 abs/2312.00299 (2023) - [i42]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 abs/2312.00308 (2023) - [i41]Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen:
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR abs/2312.07067 (2023) - [i40]Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang:
AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN. CoRR abs/2312.14935 (2023) - 2022
- [j22]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: 111419 (2022) - [j21]Qingzhao Kong, Weihua Xu, Dongxiao Zhang:
A comparative study of different granular structures induced from the information systems. Soft Comput. 26(1): 105-122 (2022) - [i39]Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang:
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. CoRR abs/2201.00698 (2022) - [i38]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 abs/2202.05962 (2022) - [i37]Yuntian Chen, Dongxiao Zhang:
Integration of knowledge and data in machine learning. CoRR abs/2202.10337 (2022) - [i36]Hao Xu, Yuntian Chen, Dongxiao Zhang:
Semantic interpretation for convolutional neural networks: What makes a cat a cat? CoRR abs/2204.07724 (2022) - [i35]Nanzhe Wang, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang:
Deep learning based closed-loop optimization of geothermal reservoir production. CoRR abs/2204.08987 (2022) - [i34]Tianhao He, Haibin Chang, Dongxiao Zhang:
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net. CoRR abs/2205.00134 (2022) - [i33]Qiang Zheng, Xiaoguang Yin, Dongxiao Zhang:
Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks. CoRR abs/2205.03508 (2022) - [i32]Mengge Du, Yuntian Chen, Dongxiao Zhang:
AutoKE: An automatic knowledge embedding framework for scientific machine learning. CoRR abs/2205.05390 (2022) - [i31]Jian Li, Dongxiao Zhang, Tianhao He, Qiang Zheng:
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model. CoRR abs/2205.14301 (2022) - [i30]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 abs/2206.09606 (2022) - [i29]Hao Xu, Junsheng Zeng, Dongxiao Zhang:
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion. CoRR abs/2208.03322 (2022) - [i28]Mengge Du, Yuntian Chen, Dongxiao Zhang:
DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning. CoRR abs/2210.02181 (2022) - [i27]Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen:
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR abs/2210.02448 (2022) - [i26]Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo:
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network. CoRR abs/2211.03602 (2022) - 2021
- [j20]Olwijn Leeuwenburgh, Alexandre Anozé Emerick, Behnam Jafarpour, Dongxiao Zhang, Xiaodong Luo:
Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science. Frontiers Appl. Math. Stat. 7: 756949 (2021) - [j19]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: 110318 (2021) - [j18]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: 110592 (2021) - [j17]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: 110624 (2021) - [i25]Hao Xu, Dongxiao Zhang:
Robust discovery of partial differential equations in complex situations. CoRR abs/2106.00008 (2021) - [i24]Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang:
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR abs/2106.00009 (2021) - [i23]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 abs/2106.11927 (2021) - [i22]Qiang Zheng, Dongxiao Zhang:
RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation. CoRR abs/2108.03132 (2021) - [i21]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 abs/2109.12311 (2021) - [i20]Xing Luo, Dongxiao Zhang:
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation. CoRR abs/2109.13442 (2021) - [i19]Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. CoRR abs/2110.10080 (2021) - [i18]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 abs/2111.08691 (2021) - 2020
- [j16]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) - [j15]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: 109584 (2020) - [j14]Yuntian Chen, Dongxiao Zhang:
Physics-Constrained Deep Learning of Geomechanical Logs. IEEE Trans. Geosci. Remote. Sens. 58(8): 5932-5943 (2020) - [i17]Hao Xu, Haibin Chang, Dongxiao Zhang:
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. CoRR abs/2001.07305 (2020) - [i16]Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. CoRR abs/2004.13560 (2020) - [i15]Yuntian Chen, Dongxiao Zhang:
Ensemble long short-term memory (EnLSTM) network. CoRR abs/2004.13562 (2020) - [i14]Yuntian Chen, Dongxiao Zhang:
Physics-constrained indirect supervised learning. CoRR abs/2004.14293 (2020) - [i13]Hao Xu, Dongxiao Zhang, Junsheng Zeng:
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data. CoRR abs/2005.07916 (2020) - [i12]Tianhao He, Dongxiao Zhang:
Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network. CoRR abs/2006.13305 (2020) - [i11]Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. CoRR abs/2007.15580 (2020) - [i10]Miao Rong, Dongxiao Zhang, Nanzhe Wang:
A Lagrangian Dual-based Theory-guided Deep Neural Network. CoRR abs/2008.10159 (2020) - [i9]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 abs/2009.04543 (2020) - [i8]Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. CoRR abs/2011.08618 (2020) - [i7]Hao Xu, Dongxiao Zhang, Nanzhe Wang:
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. CoRR abs/2011.11981 (2020) - [i6]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 abs/2012.06148 (2020) - [i5]Qiang Zheng, Dongxiao Zhang:
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks. CoRR abs/2012.07719 (2020)
2010 – 2019
- 2019
- [j13]Haibin Chang, Dongxiao Zhang:
Identification of physical processes via combined data-driven and data-assimilation methods. J. Comput. Phys. 393: 337-350 (2019) - [j12]Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang:
Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks 110: 170-185 (2019) - [j11]Chengsheng Yang, Bingquan Han, Chaoying Zhao, Jiantao Du, Dongxiao Zhang, Sainan Zhu:
Co- and post-seismic Deformation Mechanisms of the MW 7.3 Iran Earthquake (2017) Revealed by Sentinel-1 InSAR Observations. Remote. Sens. 11(4): 418 (2019) - [j10]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): 2027 (2019) - [j9]Lifeng Li, Dongxiao Zhang:
0-1 linear integer programming method for granule knowledge reduction and attribute reduction in concept lattices. Soft Comput. 23(2): 383-391 (2019) - [i4]Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang:
Ensemble Neural Networks (ENN): A gradient-free stochastic method. CoRR abs/1908.01113 (2019) - [i3]Hao Xu, Haibin Chang, Dongxiao Zhang:
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data. CoRR abs/1908.04463 (2019) - [i2]Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li:
Deep Learning of Subsurface Flow via Theory-guided Neural Network. CoRR abs/1911.00103 (2019) - 2018
- [i1]Haibin Chang, Dongxiao Zhang:
Identification of physical processes via combined data-driven and data-assimilation methods. CoRR abs/1810.11977 (2018) - 2017
- [j8]Huan Huang, Congxin Wu, Jialiang Xie, Dongxiao Zhang:
Approximation of fuzzy numbers using the convolution method. Fuzzy Sets Syst. 310: 14-46 (2017) - [j7]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: 828-845 (2017) - 2015
- [j6]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): 2279-2283 (2015) - 2014
- [j5]Weixuan Li, Guang Lin, Dongxiao Zhang:
An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling. J. Comput. Phys. 258: 752-772 (2014) - [c1]Wei Wu, Xiang Li, Lei He, Dongxiao Zhang:
Accelerating the iterative linear solver for reservoir simulation on multicore architectures. ICPADS 2014: 265-272 - 2010
- [j4]Haibin Chang, Dongxiao Zhang, Zhiming Lu:
History matching of facies distribution with the EnKF and level set parameterization. J. Comput. Phys. 229(20): 8011-8030 (2010)
2000 – 2009
- 2008
- [p1]Zhiming Lu, Dongxiao Zhang, Yan Chen:
Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition. Quantitative Information Fusion for Hydrological Sciences 2008: 43-68 - 2007
- [j3]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): 228-245 (2007) - 2004
- [j2]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): 558-577 (2004)
1990 – 1999
- 1999
- [j1]Mingye Liu, Dongxiao Zhang, Qingping Xu:
Technical decisions on several key problems in VHDL high level synthesis system. J. Comput. Sci. Technol. 14(6): 565-571 (1999)
Coauthor Index
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