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检索条件"机构=Hubei Key Laboratory of Engineering Modeling and Science Computing"
543 条 记 录,以下是281-290 订阅
An adjoint-free algorithm for conditional nonlinear optimal perturbations (CNOPs) via sampling
arXiv
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arXiv 2022年
作者: Shi, Bin Sun, Guodong State Key Laboratory of Scientific and Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China University of Chinese Academy of Sciences Beijing100049 China
In this paper, we propose a sampling algorithm based on state-of-the-art statistical machine learning techniques to obtain conditional nonlinear optimal perturbations (CNOPs), which is different from traditional (dete... 详细信息
来源: 评论
A diffuse-interface lattice Boltzmann method for fluid-particle interaction problems
arXiv
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arXiv 2021年
作者: Liu, Jiao Huang, Changsheng Chaia, Zhenhua Shia, Baochang School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China School of Mathematics and Physics China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China
In this paper, a diffuse-interface lattice Boltzmann method (DI-LBM) is developed for fluid-particle interaction problems. In this method, the sharp interface between the fluid and solid is replaced by a thin but nonz... 详细信息
来源: 评论
Stabilized multiple-relaxation implicit-explicit Runge-Kutta methods for nonlinear Gross-Pitaevskii equations
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Journal of Computational Physics 2025年
作者: Dongfang Li Xiaoxi Li Jiwei Zhang Zhimin Zhang School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan 430074China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan 430074 China School of Mathematics and Statistics Wuhan University Wuhan 430072 China Hubei Key Laboratory of Computational Science Wuhan University Wuhan 430072 China Department of Mathematics Wayne State University Detroit 48202 MI USA
A novel class of stabilized multiple-relaxation implicit-explicit Runge–Kutta methods is proposed for solving nonlinear Gross–Pitaevskii equations. The methods conserve the mass and the energy simultaneously in the ...
来源: 评论
基于污点和概率的逃逸恶意软件多路径探索
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Security and Safety 2023年 第3期2卷 83-106页
作者: 徐钫洲 张网 羌卫中 金海 National Engineering Research Center for Big Data Technology and System Wuhan 430074China Services Computing Technology and System Lab Cluster and Grid Computing LabWuhan 430074China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data SecurityWuhan 430074China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Jinyinhu Laboratory Wuhan 430040China
Static analysis is often impeded by malware obfuscation techniques,such as encryption and packing,whereas dynamic analysis tends to be more resistant to obfuscation by leveraging concrete execution ***,malware can emp... 详细信息
来源: 评论
Large deviations principle for stochastic delay differential equations with super-linearly growing coefficients
arXiv
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arXiv 2022年
作者: Jin, Diancong Chen, Ziheng Zhou, Tau School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China School of Mathematics and Statistics Yunnan University Kunming650500 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China
We utilize the weak convergence method to establish the Freidlin-Wentzell large deviations principle (LDP) for stochastic delay differential equations (SDDEs) with super-linearly growing coefficients, which covers a l... 详细信息
来源: 评论
An Empirical Study of Data Sampling Techniques for Just-in-Time Software Defect Prediction
SSRN
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SSRN 2023年
作者: Li, Zhiqiang Du, Qiannan Niu, Jingwen Zhang, Hongyu Jing, Xiao-Yuan School of Computer Science Shaanxi Normal University Shaanxi Xi’an710119 China School of Computer and Information Engineering Xinxiang University Henan Xinxiang453003 China School of Electrical Engineering and Computing The University of Newcastle CallaghanNSW2308 Australia School of Computer Science Wuhan University Hubei Wuhan430072 China School of Computer Science Guangdong Provincial Key Laboratory on Petrochemical Equipment Fault Diagnosis Guangdong University of Petrochemical Technology Guangdong Maoming525000 China
Predicting whether there are defects in code changes submitted by developers is called just-in-time software defect prediction (JIT-SDP). Unfortunately, JIT-SDP usually suffers from the class imbalance problem, which ... 详细信息
来源: 评论
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
arXiv
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arXiv 2022年
作者: Hu, Shengshan Zhang, Junwei Liu, Wei Hou, Junhui Li, Minghui Zhang, Leo Yu Jin, Hai Sun, Lichao School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China Cluster and Grid Computing Lab China National Engineering Research Center for Big Data Technology and System Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China Services Computing Technology and System Lab China City University of Hong Kong Hong Kong Deakin University Australia Lehigh University United States
Point cloud completion, as the upstream procedure of 3D recognition and segmentation, has become an essential part of many tasks such as navigation and scene understanding. While various point cloud completion models ... 详细信息
来源: 评论
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
arXiv
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arXiv 2023年
作者: Zhong, Qihuang Ding, Liang Liu, Juhua Liu, Xuebo Zhang, Min Du, Bo Tao, Dacheng National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China JD Explore Academy China Research Center for Graphic Communication Printing and Packaging Institute of Artificial Intelligence Wuhan University China Institute of Computing and Intelligence Harbin Institute of Technology China University of Sydney Australia
Token dropping is a recently-proposed strategy to speed up the pretraining of masked language models, such as BERT, by skipping the computation of a subset of the input tokens at several middle layers. It can effectiv... 详细信息
来源: 评论
ON COMPUTABILITY OF EQUILIBRIUM STATES
arXiv
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arXiv 2023年
作者: Binder, Ilia He, Qiandu Li, Zhiqiang Zhang, Yiwei Department of Mathematics University of Toronto Bahen Centre 40 St. George St. TorontoONM5S 2E4 Canada School of Mathematical Sciences Peking University Beijing100871 China School of Mathematical Sciences Beijing International Center for Mathematical Research Peking University Beijing100871 China School of Mathematics and Statistics Center for Mathematical Sciences Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China
Equilibrium states are natural dynamical analogs of Gibbs states in thermodynamic formalism. This paper is devoted to the study of their computability in the sense of Computable Analysis. We show that the unique equil... 详细信息
来源: 评论
A new method for vascular age estimation based on relative risk difference in vascular aging
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Computers in Biology and Medicine 2024年 171卷 108155-108155页
作者: Tang, Qingfeng Liu, Shiping Tao, Chao Wang, Jue Zhao, Huanhuan Wang, Guangjun Zhao, Xu Ren, Qun Zhang, Liangliang Su, Benyue Xu, Jiatuo An, Hui School of Traditional Chinese Medicine Shanghai University of Traditional Chinese Medicine Shanghai201203 China The University Key Laboratory of Intelligent Perception and Computing of Anhui Province Anqing Normal University Anqing246133 China Anhui Engineering Research Center of Intelligent Perception and Elderly Care Chuzhou University Chuzhou239000 China School of Computer and Information Engineering Chuzhou University Chuzhou239000 China Health Management & Physical Examination Center Xiangyang Central Hospital Affiliated Hospital of Hubei University of Arts and Science Xiangyang441021 China School of Mathematics and Computer Science Tongling University Tongling244061 China
Objective: The current models of estimating vascular age (VA) primarily rely on the regression label expressed with chronological age (CA), which does not account individual differences in vascular aging (IDVA) that a... 详细信息
来源: 评论