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UNDERSTANDING: 作品数：1531被引量：2459H指数：19; 导出分析报告; 相关领域：医药卫生更多>>; 相关作者：张伟伟孙永陈炯王彦蔡英凤更多>>; 相关机构：吉林大学南京大学东南大学中国科学院更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金高等学校学科创新引智计划更多>>

Auto-3D-house Design from Structured User Requirements: 《Machine Intelligence Research》2025年第2期368-385,共18页Minkui Tan Qi Chen Zixiong Huang Qi Wu Yuanqing Li Jiaqiu Zhou; supported by the National Natural Science Foundation of China(NSFC)(No.62072190);TCL Science and Technology Innovation Fund,China.; We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)...; 关键词：Automated house design user requirements understanding outline processing layout generation graph feature generation.

Swin3D: A pretrained transformer backbone for 3D indoor scene understanding: 《Computational Visual Media》2025年第1期83-101,共19页Yu-Qi Yang Yu-Xiao Guo Jian-Yu Xiong Yang Liu Hao Pan Peng-Shuai Wang Xin Tong Baining Guo; The use of pretrained backbones with finetuning has shown success for 2D vision and natural language processing tasks,with advantages over taskspecific networks.In this paper,we introduce a pretrained 3D backbone,call...; 关键词：3D pretraining ponitcloud analysis trans-former backbone Swin Transformer 3D semantic segmentation 3D object detection

ATVis:Understanding and diagnosing adversarial training processes through visual analytics: 《Visual Informatics》2024年第4期71-84,共14页Fang Zhu Xufei Zhu Xumeng Wang Yuxin Ma Jieqiong Zhao; supported in part by the NSFC (62202217,62202244);Guangdong Basic and Applied Basic Research Foundation (No.2023A1515012889);Guangdong Key Program (No.2021QN02X794).; Adversarial training has emerged as a major strategy against adversarial perturbations in deep neural networks,which mitigates the issue of exploiting model vulnerabilities to generate incorrect predictions.Despite en...; 关键词：Visual analytics Explainable AI Adversarial training

Aparecium:understanding and detecting scam behaviors on Ethereum via biased random Walk: 《Cybersecurity》2024年第3期16-31,共16页Chuyi Yan Chen Zhang Meng Shen Ning Li Jinhao Liu Yinhao Qi Zhigang Lu Yuling Liu; This research is supported by National Key Research and Development Program of China(No.2021YFF0307203,No.2019QY1300);Youth Innovation Promotion Association CAS(No.2021156);the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDC02040100);National Natural Science Foundation of China(No.61802404)。; Ethereum's high attention,rich business,certain anonymity,and untraceability have attracted a group of attackers.Cybercrime on it has become increasingly rampant,among which scam behavior is convenient,cryptic,antagon...; 关键词：Blockchain Network security Ethereum Scam detection Behavior understanding

Understanding Technology Acceptance and Use in Social Media Platforms:A Systematic Literature Review and the Development of Research Framework: 《Journal of Social Computing》2024年第3期261-291,共31页Muhammad Amirul Asyraaf Roslan Nurul Amelina Nasharuddin Masrah Azrifah Azmi Murad; The Systematic Literature Review(SLR)presented in the document focuses on the acceptance of social media(SM)platforms,particularly through the lens of the Unified Theory of Acceptance and Use of Technology(UTAUT),Tech...; 关键词：technology acceptance model(TAM) unified theory of acceptance and use of technology(UTAUT) theory of planned behavior(TPB) social media social networking services

Learning group interaction for sports video understanding from a perspective of athlete: 《Frontiers of Computer Science》2024年第4期175-188,共14页Rui HE Zehua FU Qingjie LIU Yunhong WANG Xunxun CHEN; National Natural Science Foundation of China(Grant No.U20B2069);Fundamental Research Funds for the Central Universities.; Learning activities interactions between small groups is a key step in understanding team sports videos.Recent research focusing on team sports videos can be strictly regarded from the perspective of the audience rath...; 关键词：group scene graph group activity recognition scene graph generation graph convolutional network sports video understanding

Understanding and Detecting Inefficient Image Displaying Issues in Android Apps: 《Journal of Computer Science & Technology》2024年第2期434-459,共26页李文杰马骏蒋炎岩许畅马晓星; supported by the Leading-Edge Technology Program of Jiangsu Natural Science Foundation of China under Grant No.BK20202001;the National Natural Science Foundation of China under Grant No.61932021.; Mobile applications(apps for short)often need to display images.However,inefficient image displaying(IID)issues are pervasive in mobile apps,and can severely impact app performance and user experience.This paper first...; 关键词：Android application(app) inefficient image displaying(IID) performance empirical study static analysis

Towards understanding bogus traffic service in online social networks: 《Frontiers of Information Technology & Electronic Engineering》2024年第3期415-431,共17页Ping HE Xuhong ZHANG Changting LIN Ting WANG Shouling JI; Critical functionality and huge infuence of the hot trend/topic page(HTP)in microblogging sites have driven the creation of a new kind of underground service called the bogus traffic service(BTS).BTS provides a kind o...; 关键词：Online social networks MEASUREMENT Bogus traffic Black market

Understanding turbo codes: A signal processing study: 《Journal of Information and Intelligence》2024年第1期1-13,共13页Xiang-Gen Xia; In this paper,we study turbo codes from the digital signal processing point of view by defining turbo codes over the complex field.It is known that iterative decoding and interleaving between concatenated parallel cod...; 关键词：Turbo codes Iterative decoding Modulated codes Interleaver design

Understanding Credit Risk in Internet Consumer Finance:An Empirical Analysis with a Focus on the Young Generation: 《Proceedings of Business and Economic Studies》2023年第6期81-91,共11页Xiaodan Wang; In recent years,internet finance has garnered increasing attention from the public.Online lending,emerging within the framework of Internet finance as a pivotal component,has witnessed substantial growth.While online ...; 关键词：Young generation Credit risk in Internet consumer finance Influencing factors Logistic model

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