Dongxiao Zhang

117 papers A* 4B 1Journal 111

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration. AAAI Ni Tang, Xiaotong Luo, Zihan Cheng, Liangtai Zhou, Dongxiao Zhang, Yanyun Qu
2026	J	`jnl`	Graph-based data-driven discovery of interpretable laws governing corona-induced noise and radio interference for high-voltage transmission lines. CoRR Hao Xu, Yuntian Chen, Chongqing Kang, Dongxiao Zhang
2026	J	`jnl`	Hybrid Intelligent Optimization of Path-Constrained Switched Systems With Free Switching Sequences. IEEE Trans. Syst. Man Cybern. Syst. Jun Fu, Zexiang Gao, Huan Li, Dali Chen, Xiaochen Zhu, Dongxiao Zhang
2025	J	`jnl`	A novel approach to multi-frame image super resolution using an innovative filter and pixel selection mechanism. Signal Image Video Process. Dongxiao Zhang, Ni Tang, Juhao Gao
2025	J	`jnl`	Beyond empirical models: Discovering new constitutive laws in solids with graph-based equation discovery. CoRR Hao Xu, Yuntian Chen, Dongxiao Zhang
2025	J	`jnl`	BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network. CoRR Yongzheng Liu, Yiming Wang, Po Xu, Yingjie Xu, Yuntian Chen, Dongxiao Zhang
2025	J	`jnl`	Capturing Unseen Spatial Extremes Through Knowledge-Informed Generative Modeling. CoRR Xinyue Liu, Xiao Peng, Shuyue Yan, Yuntian Chen, Dongxiao Zhang, Zhixiao Niu, Hui-Min Wang, Xiaogang He
2025	J	`jnl`	Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting. AI Open Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
2025	J	`jnl`	Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series. CoRR Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen
2025	A*	`conf`	Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series. ICLR Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen
2025	J	`jnl`	Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration. CoRR Ni Tang, Xiaotong Luo, Zihan Cheng, Liangtai Zhou, Dongxiao Zhang, Yanyun Qu
2025	J	`jnl`	Generative Discovery of Partial Differential Equations by Learning from Math Handbooks. CoRR Hao Xu, Yuntian Chen, Rui Cao, Tianning Tang, Mengge Du, Jian Li, Adrian H. Callaghan, Dongxiao Zhang
2025	J	`jnl`	Generative emulation and uncertainty quantification of geological CO2 storage with conditional diffusion models. Appl. Soft Comput. Zhongzheng Wang, Yuntian Chen, Guodong Chen, Qiang Zheng, Tianhao Wu, Dongxiao Zhang
2025	J	`jnl`	HSFormer: Multiscale Hybrid Sparse Transformer for Uncertainty-Aware Cloud and Shadow Removal. IEEE Trans. Geosci. Remote. Sens. Changqi Sun, Yuntian Chen, Qinglong Cao, Longfeng Nie, Zhenzhong Zeng, Dongxiao Zhang
2025	J	`jnl`	Physics-informed multi-grid neural operator: Theory and an application to porous flow simulation. J. Comput. Phys. Suihong Song, Tapan Mukerji, Dongxiao Zhang
2025	J	`jnl`	Risk assessment of building and infrastructure using InSAR-derived deformation gradients and pattern variations in the Beijing plain, China. Int. J. Digit. Earth Shicheng Zuo, Mingsheng Liao, Jie Dong, Ru Wang, Shaokun Guo, Feikai Lin, Nan Wang, Dongxiao Zhang
2025	J	`jnl`	Unsupervised image super-resolution recurrent network based on diffusion model. Signal Process. Image Commun. Ni Tang, Dongxiao Zhang, Yanyun Qu
2024	J	`jnl`	A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems. CoRR Xiangnan Yu, Hao Xu, Zhiping Mao, Hongguang Sun, Yong Zhang, Dongxiao Zhang, Yuntian Chen
2024	J	`jnl`	A Fuzzy Twin Support Vector Machine Based on Dissimilarity Measure and Its Biomedical Applications. Int. J. Fuzzy Syst. Jianxiang Qiu, Jialiang Xie, Dongxiao Zhang, Ruping Zhang, Mingwei Lin
2024	J	`jnl`	A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM. CoRR Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy. IEEE Trans. Mob. Comput. Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
2024	J	`jnl`	A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy. CoRR Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
2024	J	`jnl`	A novel fuzzy twin support vector machine based on centered kernel alignment. Soft Comput. Jialiang Xie, Jianxiang Qiu, Dongxiao Zhang, Ruping Zhang
2024	J	`jnl`	A robust twin support vector machine based on fuzzy systems. Int. J. Intell. Comput. Cybern. Jianxiang Qiu, Jialiang Xie, Dongxiao Zhang, Ruping Zhang
2024	J	`jnl`	AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN. Adv. Intell. Syst. Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN. Adv. Intell. Syst. Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model. CoRR Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
2024	J	`jnl`	Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development. CoRR Longfei Ma, Nan Cheng, Xiucheng Wang, Jiong Chen, Yinjun Gao, Dongxiao Zhang, Jun-Jie Zhang
2024	J	`jnl`	Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. CoRR Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	FSRDiff: A fast diffusion-based super-resolution method using GAN. J. Vis. Commun. Image Represent. Ni Tang, Dongxiao Zhang, Juhao Gao, Yanyun Qu
2024	A*	`conf`	Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CVPR Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
2024	J	`jnl`	Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches. Comput. Geosci. Rui Xu, Dongxiao Zhang
2024	J	`jnl`	Intelligent Chemical Purification Technique Based on Machine Learning. CoRR Wenchao Wu, Hao Xu, Dongxiao Zhang, Fanyang Mo
2024	J	`jnl`	Joint Motion Deblurring and Super-Resolution for Single Image Using Diffusion Model and GAN. IEEE Signal Process. Lett. Dongxiao Zhang, Ni Tang, Yanyun Qu
2024	J	`jnl`	LLM4ED: Large Language Models for Automatic Equation Discovery. CoRR Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang
2024	J	`jnl`	Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning. CoRR Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang
2024	J	`jnl`	Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research. CoRR Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
2024	J	`jnl`	QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. Int. J. Appl. Earth Obs. Geoinformation Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
2024	J	`jnl`	Transformer-based image super-resolution and its lightweight. Multim. Tools Appl. Dongxiao Zhang, Tangyao Qi, Juhao Gao
2024	J	`jnl`	Two kinds of average approximation accuracy. CAAI Trans. Intell. Technol. Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang
2024	J	`jnl`	When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain. CoRR Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang
2023	J	`jnl`	A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing. CoRR Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang
2023	J	`jnl`	AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN. CoRR Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
2023	J	`jnl`	AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. IEEE Trans. Artif. Intell. Mengge Du, Yuntian Chen, Dongxiao Zhang
2023	J	`jnl`	Cascaded Degradation-Aware Blind Super-Resolution. Sensors Ding Zhang, Ni Tang, Dongxiao Zhang, Yanyun Qu
2023	J	`jnl`	Crack-Net: Prediction of Crack Propagation in Composites. CoRR Hao Xu, Wei Fan, Ambrose C. Taylor, Dongxiao Zhang, Lecheng Ruan, Rundong Shi
2023	A*	`conf`	Discrete Point-Wise Attack is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CVPR Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
2023	J	`jnl`	Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CoRR Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
2023	J	`jnl`	Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
2023	J	`jnl`	Physics-constrained robust learning of open-form PDEs from limited and noisy data. CoRR Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang
2023	J	`jnl`	QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. CoRR Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
2023	J	`jnl`	Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery. CoRR Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang
2023	J	`jnl`	Worth of knowledge in deep learning. CoRR Hao Xu, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	A Lagrangian dual-based theory-guided deep neural network. Complex Intell. Syst. Miao Rong, Dongxiao Zhang, Nanzhe Wang
2022	J	`jnl`	A comparative study of different granular structures induced from the information systems. Soft Comput. Qingzhao Kong, Weihua Xu, Dongxiao Zhang
2022	J	`jnl`	AutoKE: An automatic knowledge embedding framework for scientific machine learning. CoRR Mengge Du, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning. CoRR Mengge Du, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	Deep learning based closed-loop optimization of geothermal reservoir production. CoRR Nanzhe Wang, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang
2022	J	`jnl`	Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. CoRR Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang
2022	J	`jnl`	Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion. CoRR Hao Xu, Junsheng Zeng, Dongxiao Zhang
2022	J	`jnl`	High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques. CoRR Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo
2022	J	`jnl`	Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net. CoRR Tianhao He, Haibin Chang, Dongxiao Zhang
2022	J	`jnl`	Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks. CoRR Qiang Zheng, Xiaoguang Yin, Dongxiao Zhang
2022	J	`jnl`	Integration of knowledge and data in machine learning. CoRR Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development. CoRR Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu
2022	J	`jnl`	Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network. CoRR Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo
2022	J	`jnl`	Semantic interpretation for convolutional neural networks: What makes a cat a cat? CoRR Hao Xu, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. J. Comput. Phys. Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2022	J	`jnl`	TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
2022	J	`jnl`	Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model. CoRR Jian Li, Dongxiao Zhang, Tianhao He, Qiang Zheng
2021	J	`jnl`	An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation. CoRR Xing Luo, Dongxiao Zhang
2021	J	`jnl`	Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
2021	J	`jnl`	Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network. CoRR Pengfei Tang, Junsheng Zeng, Dongxiao Zhang, Heng Li
2021	J	`jnl`	Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang
2021	J	`jnl`	Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. J. Comput. Phys. Hao Xu, Dongxiao Zhang, Nanzhe Wang
2021	J	`jnl`	Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science. Frontiers Appl. Math. Stat. Olwijn Leeuwenburgh, Alexandre Anozé Emerick, Behnam Jafarpour, Dongxiao Zhang, Xiaodong Luo
2021	J	`jnl`	Robust discovery of partial differential equations in complex situations. CoRR Hao Xu, Dongxiao Zhang
2021	J	`jnl`	RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation. CoRR Qiang Zheng, Dongxiao Zhang
2021	J	`jnl`	Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2021	J	`jnl`	Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. J. Comput. Phys. Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
2021	J	`jnl`	Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network. CoRR Rui Xu, Dongxiao Zhang, Nanzhe Wang
2021	J	`jnl`	Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. J. Comput. Phys. Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
2020	J	`jnl`	A Lagrangian Dual-based Theory-guided Deep Neural Network. CoRR Miao Rong, Dongxiao Zhang, Nanzhe Wang
2020	J	`jnl`	Comprehensive study and comparison of equilibrium and kinetic models in simulation of hydrate reaction in porous media. J. Comput. Phys. Yihua Teng, Dongxiao Zhang
2020	J	`jnl`	DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. CoRR Hao Xu, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. J. Comput. Phys. Hao Xu, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network. CoRR Tianhao He, Dongxiao Zhang
2020	J	`jnl`	Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. CoRR Hao Xu, Dongxiao Zhang, Nanzhe Wang
2020	J	`jnl`	Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data. CoRR Hao Xu, Dongxiao Zhang, Junsheng Zeng
2020	J	`jnl`	Digital rock reconstruction with user-defined properties using conditional generative adversarial networks. CoRR Qiang Zheng, Dongxiao Zhang
2020	J	`jnl`	Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Ensemble long short-term memory (EnLSTM) network. CoRR Yuntian Chen, Dongxiao Zhang
2020	J	`jnl`	Physics-Constrained Deep Learning of Geomechanical Logs. IEEE Trans. Geosci. Remote. Sens. Yuntian Chen, Dongxiao Zhang
2020	J	`jnl`	Physics-constrained indirect supervised learning. CoRR Yuntian Chen, Dongxiao Zhang
2020	J	`jnl`	Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. CoRR Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
2020	J	`jnl`	Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow. CoRR Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
2019	J	`jnl`	0-1 linear integer programming method for granule knowledge reduction and attribute reduction in concept lattices. Soft Comput. Lifeng Li, Dongxiao Zhang
2019	J	`jnl`	Co- and post-seismic Deformation Mechanisms of the M Remote. Sens. Chengsheng Yang, Bingquan Han, Chaoying Zhao, Jiantao Du, Dongxiao Zhang, Sainan Zhu
2019	J	`jnl`	DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data. CoRR Hao Xu, Haibin Chang, Dongxiao Zhang
2019	J	`jnl`	Deep Learning of Subsurface Flow via Theory-guided Neural Network. CoRR Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li
2019	J	`jnl`	Ensemble Neural Networks (ENN): A gradient-free stochastic method. CoRR Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang
2019	J	`jnl`	Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang
2019	J	`jnl`	Ground Deformation Revealed by Sentinel-1 MSBAS-InSAR Time-Series over Karamay Oilfield, China. Remote. Sens. Chengsheng Yang, Dongxiao Zhang, Chaoying Zhao, Bingquan Han, Ruiqi Sun, Jiantao Du, Liquan Chen
2019	J	`jnl`	Identification of physical processes via combined data-driven and data-assimilation methods. J. Comput. Phys. Haibin Chang, Dongxiao Zhang
2018	J	`jnl`	Identification of physical processes via combined data-driven and data-assimilation methods. CoRR Haibin Chang, Dongxiao Zhang
2017	J	`jnl`	A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media. J. Comput. Phys. Qinzhuo Liao, Dongxiao Zhang, Hamdi A. Tchelepi
2017	J	`jnl`	Approximation of fuzzy numbers using the convolution method. Fuzzy Sets Syst. Huan Huang, Congxin Wu, Jialiang Xie, Dongxiao Zhang
2015	J	`jnl`	Novel Graph Cuts Method for Multi-Frame Super-Resolution. IEEE Signal Process. Lett. Dongxiao Zhang, Pierre-Marc Jodoin, Cuihua Li, Yun-Dong Wu, Guo-Rong Cai
2014	B	`conf`	Accelerating the iterative linear solver for reservoir simulation on multicore architectures. ICPADS Wei Wu, Xiang Li, Lei He, Dongxiao Zhang
2014	J	`jnl`	An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling. J. Comput. Phys. Weixuan Li, Guang Lin, Dongxiao Zhang
2010	J	`jnl`	History matching of facies distribution with the EnKF and level set parameterization. J. Comput. Phys. Haibin Chang, Dongxiao Zhang, Zhiming Lu
2008	—	`ch.`	Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition. Quantitative Information Fusion for Hydrological Sciences Zhiming Lu, Dongxiao Zhang, Yan Chen
2007	J	`jnl`	Stochastic Simulations for Flow in Nonstationary Randomly Heterogeneous Porous Media Using a KL-Based Moment-Equation Approach. Multiscale Model. Simul. Zhiming Lu, Dongxiao Zhang
2004	J	`jnl`	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. Zhiming Lu, Dongxiao Zhang
1999	J	`jnl`	Technical decisions on several key problems in VHDL high level synthesis system. J. Comput. Sci. Technol. Mingye Liu, Dongxiao Zhang, Qingping Xu