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作品数:930被引量:1111H指数:13
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PUNet:A Semi-Supervised Anomaly Detection Model for Network Anomaly Detection Based on Positive Unlabeled Data
《Computers, Materials & Continua》2024年第10期327-343,共17页Gang Long Zhaoxin Zhang 
Network anomaly detection plays a vital role in safeguarding network security.However,the existing network anomaly detection task is typically based on the one-class zero-positive scenario.This approach is susceptible...
关键词:Network anomaly detection representation learning candidate set CatBoost 
A refined representation method of the particle size distribution curve based on grading entropy
《Particuology》2024年第5期302-311,共10页Xing Li Qun Chen Zhaozhao Liu Cheng Zhou Chen Wang Chen Chen 
This research was supported by the National Natural Science Foundation of China(grant No.41977239);the Sichuan Science and Technology Program(grant No.2022YFS0539).
The particle size distribution(PSD)curve is an important expression of the basic properties of the soil.The characteristic parameters such as median particle size D_(50),effective particle size D_(10),and some combina...
关键词:Grading entropy Particle size distribution curve Refined representation 
Controllable image generation based on causal representation learning被引量:1
《Frontiers of Information Technology & Electronic Engineering》2024年第1期135-148,共14页Shanshan HUANG Yuanhao WANG Zhili GONG Jun LIAO Shu WANG Li LIU 
Project supported by the National Major Science and Technology Projects of China(No.2022YFB3303302);the National Natural Science Foundation of China(Nos.61977012 and 62207007);the Central Universities Project in China at Chongqing University(Nos.2021CDJYGRH011 and 2020CDJSK06PT14)。
Artificial intelligence generated content(AIGC)has emerged as an indispensable tool for producing large-scale content in various forms,such as images,thanks to the significant role that AI plays in imitation and produ...
关键词:Image generation Controllable image editing Causal structure learning Causal representation learning 
A malware propagation prediction model based on representation learning and graph convolutional networks
《Digital Communications and Networks》2023年第5期1090-1100,共11页Tun Li Yanbing Liu Qilie Liu Wei Xu Yunpeng Xiao Hong Liu 
This research is partially supported by the National Natural Science Foundation of China(Grant No.61772098);Chongqing Technology Innovation and Application Development Project(Grant No.cstc2020jscxmsxmX0150);Chongqing Science and Technology Innovation Leading Talent Support Program(CSTCCXLJRC201908);Basic and Advanced Research Projects of CSTC(No.cstc2019jcyj-zdxmX0008);Science and Technology Research Program of Chongqing Municipal Education Commission(Grant No.KJZD-K201900605).
The traditional malware research is mainly based on its recognition and detection as a breakthrough point,without focusing on its propagation trends or predicting the subsequently infected nodes.The complexity of netw...
关键词:MALWARE Representation learning Graph convolutional networks(GCN) Tensor decomposition Propagation prediction 
Clustering Reference Images Based on Covisibility for Visual Localization
《Computers, Materials & Continua》2023年第5期2705-2725,共21页Sangyun Lee Junekoo Kang Hyunki Hong 
supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(NRF-2018R1D1A1B07049932).
In feature-based visual localization for small-scale scenes,local descriptors are used to estimate the camera pose of a query image.For large and ambiguous environments,learning-based hierarchical networks that employ...
关键词:Visual localization deep learning voxel representation CLUSTERING covisibility MEANSHIFT graph structure 
A Cross Language Code Security Audit Framework Based on Normalized Representation
《Journal of Quantum Computing》2022年第2期75-84,共10页Yong Chen Chao Xu Jing Selena He Sheng Xiao 
This work was supported by the Universities Natural Science Research Project of Jiangsu Province under Grant 20KJB520026;the Natural Science Foundation of Jiangsu Province under Grant BK20180821.
With the rapid development of information technology,audit objects and audit itself are more and more inseparable from software.As an important means of software security audit,code security audit will become an impor...
关键词:Code security audit NORMALIZATION cross language security vulnerabilities 
Remaining Time Prediction for Business Processes with Concurrency Based on Log Representation
《China Communications》2021年第11期76-91,共16页Rui Cao Weijian Ni Qingtian Zeng Faming Lu Cong Liu Hua Duan 
supported by National Natural Science Foundation of China(No.U1931207 and No.61702306);Sci.&Tech.Development Fund of Shandong Province of China(No.ZR2019LZH001,No.ZR2017BF015 and No.ZR2017MF027);the Humanities and Social Science Research Project of the Ministry of Education(No.18YJAZH017);Shandong Chongqing Science and technology cooperation project(No.cstc2020jscx-lyjsAX0008);Sci.&Tech.Development Fund of Qingdao(No.21-1-5-zlyj-1-zc);the Taishan Scholar Program of Shandong Province;SDUST Research Fund(No.2015TDJH102 and No.2019KJN024).
Remaining time prediction of business processes plays an important role in resource scheduling and plan making.The structural features of single process instance and the concurrent running of multiple process instance...
关键词:business process monitoring remaining time prediction LSTM feature representation CONCURRENCY 
Geographical Origin and Level Identification of Frankincense Based on Hyperspectral Image被引量:1
《World Journal of Traditional Chinese Medicine》2020年第4期469-480,共12页Yu-Xiang Zhang Zhong-Chen Gao Ye-Xin Liu Wei Li 
Background:As the demand for traditional Chinese medicinal materials increases in China and even the world,there is an urgent need for an effective and simple identification technology to identify the origin and quali...
关键词:Discriminative collaborative representation with Tikhonov regularization discriminative marginalized least squares regression frankincense geographical origin HYPERSPECTRAL 
Ensemble Learning Based on GBDT and CNN for Adoptability Prediction被引量:1
《Computers, Materials & Continua》2020年第11期1361-1372,共12页Yunfan Ye Fang Liu Shan Zhao Wanting Hu Zhiyao Liang 
This work is supported by The National Key Research and Development Program of China(2018YFB1800202,2016YFB1000302,SQ2019ZD090149,2018YFB0204301).
By efficiently and accurately predicting the adoptability of pets,shelters and rescuers can be positively guided on improving attraction of pet profiles,reducing animal suffering and euthanization.Previous prediction ...
关键词:Adoptability of pets multimodal representation CNN GBDT ensemble learning 
A Phrase Topic Model Based on Distributed Representation
《Computers, Materials & Continua》2020年第7期455-469,共15页Jialin Ma Jieyi Cheng Lin Zhang Lei Zhou Bolun Chen 
This work was supported by the Project of Industry and University Cooperative Research of Jiangsu Province,China(No.BY2019051);Ma,J.would like to thank the Jiangsu Eazytec Information Technology Company(www.eazytec.com)for their financial support.
Traditional topic models have been widely used for analyzing semantic topics from electronic documents.However,the obvious defects of topic words acquired by them are poor in readability and consistency.Only the domai...
关键词:PHRASE topic model LDA distributed representation Gibbs sampling 
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