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Stein variational gradient descent with local approximations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download：33/0  |  Submit date：2022/04/02
Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation  
Combining convex hull and directed graph for fast and accurate ellipse detection 期刊论文
GRAPHICAL MODELS, 2021, 卷号: 116, 页码: 13
Authors:  Shen, Zeyu;  Zhao, Mingyang;  Jia, Xiaohong;  Liang, Yuan;  Fan, Lubin;  Yan, Dong-Ming
Favorite  |  View/Download：39/0  |  Submit date：2021/10/26
Ellipse detection  Edge following  Hough transform  RANSAC  
Information spreading with relative attributes on signed networks 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 551, 页码: 54-66
Authors:  Niu, Ya-Wei;  Qu, Cun-Quan;  Wang, Guang-Hui;  Wu, Jian-Liang;  Yan, Gui-Ying
Favorite  |  View/Download：70/0  |  Submit date：2021/04/26
Information spreading  Relative attributes  Signed networks  Structural balance  Positive edges  Negative edges  
Optimal design for kernel interpolation: Applications to uncertainty quantification 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 卷号: 430, 页码: 19
Authors:  Narayan, Akil;  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download：59/0  |  Submit date：2021/04/26
Kernel interpolation  Fekete points  Cholesky decomposition with pivoting  Hermite interpolation  Uncertainty quantification  
Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 3828-3843
Authors:  Zhao, Mingyang;  Jia, Xiaohong;  Fan, Lubin;  Liang, Yuan;  Yan, Dong-Ming
Favorite  |  View/Download：59/0  |  Submit date：2021/06/01
Kernel  Robustness  Optimization  Gaussian mixture model  Bandwidth  Two dimensional displays  Transforms  Ellipse fitting  GMM  HGMM  RANSAC  outlier  noise  robust statistic  
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS* 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download：31/0  |  Submit date：2022/04/02
Bayesian inverse problems  Deep neural network  Markov chain Monte Carlo  
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
Authors:  Yan, Liang;  Zhou, Tao
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Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
1990-2018年黄河流域(河南段)土地利用格局时空演变 期刊论文
农业工程学报, 2020, 卷号: 36, 期号: 15, 页码: 271-281
Authors:  肖东洋;  牛海鹏;  闫弘轩;  樊良新;  赵素霞
Favorite  |  View/Download：53/0  |  Submit date：2021/01/14
land use  remote sensing  Yellow River Basin  land use/land cover change  spatial-temporal evolution  chord diagram  gravity center transfer model  土地利用  遥感  黄河流域  土地利用/土地覆被变化  时空格局  弦图  重心迁移模型  
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download：88/0  |  Submit date：2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS 期刊论文
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2019, 卷号: 9, 期号: 3, 页码: 205-220
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download：83/0  |  Submit date：2020/01/10
Bayesian inverse problems  ensemble Kalman inversion  multifidelity polynomial chaos  surrogate modeling