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A Semi-Explicit Surface Tracking Mechanism for Multi-Phase Immiscible Liquids 期刊论文
IEEE Transactions on Visualization and Computer Graphics, 2019, 卷号: 25, 期号: 10, 页码: 2873-2885
Authors:  Yang, Meng;  YE, Juntao;  Ding, Frank;  Zhang, Yubo;  Yan, Dong-Ming
View  |  Adobe PDF(9889Kb)  |  Favorite  |  View/Download:10/1  |  Submit date:2019/09/26
Surface Tracking , Explicit Mesh , reMeshing , Regional Level Set , Multi-material , Spectrally Refined Grid  
A Semi-Explicit Surface Tracking Mechanism 2 for Multi-Phase Immiscible Liquids 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2018, 卷号: xx, 期号: xx, 页码: xx
Authors:  Meng Yang;  Juntao Ye;  Frank Ding;  Yubo Zhang;  Dong-Ming Yan
View  |  Adobe PDF(1133Kb)  |  Favorite  |  View/Download:64/19  |  Submit date:2018/10/01
Surface Tracking  Explicit Mesh  Remeshing  Regional Level Set  Multi-material  Spectrally Refined Grid  
Nonrigid Point Matching of Chinese Characters for Robot Writing 会议论文
ROBIO, 澳门, 2017-12
Authors:  Bocheng Zhao;  Minghao Yang;  Hang Pan;  Qingjie Zhu;  Jianhua Tao
View  |  Adobe PDF(2163Kb)  |  Favorite  |  View/Download:69/9  |  Submit date:2018/01/04
Real-time ink simulation using a grid-particle method 期刊论文
COMPUTERS & GRAPHICS-UK, 2012, 卷号: 36, 期号: 8, 页码: 1025-1035
Authors:  Xu, Shibiao;  Mei, Xing;  Dong, Weiming;  Zhang, Zhiyi;  Zhang, Xiaopeng
View  |  Adobe PDF(1350Kb)  |  Favorite  |  View/Download:148/51  |  Submit date:2015/08/12
Ink Diffusion  Particle-guided  Coupling  Drag Force  Motion Blur  Multiple Ink  Animation  
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 卷号: 23, 期号: 11, 页码: 1738-1754
Authors:  Xiang, Shiming;  Nie, Feiping;  Meng, Gaofeng;  Pan, Chunhong;  Zhang, Changshui
View  |  Adobe PDF(725Kb)  |  Favorite  |  View/Download:356/96  |  Submit date:2015/09/18
Feature Selection  Least Squares Regression  Multiclass Classification  Sparse Learning  
Real-Time Simulation of Aeolian Sand Movement and Sand Ripple Evolution: A Method Based on the Physics of Blown Sand 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2012, 卷号: 27, 期号: 1, 页码: 135-146
Authors:  Wang, Ning;  Hu, Bao-Gang
View  |  Adobe PDF(5286Kb)  |  Favorite  |  View/Download:54/8  |  Submit date:2015/08/12
Physically Based Modeling  Sand Ripple Evolution  Aeolian Erosion  Particle Systems  Gpu