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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>>

VERBATIM: 《China Weekly》2025年第5期9-9,共1页; “We're not aiming to make machines human,but to make them understand humans,think like humans and do things humans cannot...Al should not replace us,but free us,better understand us and serve us well.”; 关键词：UNDERSTANDING humans serving MACHINES THINKING

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.

FPSMix: data augmentation strategy for point cloud classification: 《Frontiers of Computer Science》2025年第2期105-113,共9页Taiyan CHEN Xianghua YING; supported by the National Key R&D Program of China(No.2020YFB1708002);the National Natural Science Foundation of China(Grant Nos.62371009 and 61971008).; Data augmentation is a widely used regularization strategy in deep neural networks to mitigate overfitting and enhance generalization.In the context of point cloud data,mixing two samples to generate new training exam...; 关键词：point cloud classification data augmentation loss function point cloud understanding point cloud analysis

Quantifying Bytes:Understanding Practical Value of Data Assets in Federated Learning: 《Tsinghua Science and Technology》2025年第1期135-147,共13页Minghao Yao Saiyu Qi Zhen Tian Qian Li Yong Han Haihong Li Yong Qi; supported by the Natural Science Basic Research Program of Shaanxi Program(No.2024JC-JCQN-67);the Fundamental Research Funds for the Central Universities(Nos.xzy012022083 and xxj032022012);the Shaanxi Province QinChuangYuan“Scientist+Engineer”Team Building Project(No.2022KXJ-054);the National Key Research and Development Program of China(No.2023YFB2703800);the National Natural Science Foundation of China(No.62206217);the China Postdoctoral Science Foundation(Nos.2022M722530 and 2023T160512).; The data asset is emerging as a crucial component in both industrial and commercial applications.Mining valuable knowledge from the data benefits decision-making and business.However,the usage of data assets raises te...; 关键词：Federated Learning(FL) blockchain FAIRNESS

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

Understanding microstructure-property relationships of HPDC Al-Si alloy based on machine learning and crystal plasticity simulation被引量：1: 《Advances in Manufacturing》2024年第3期497-511,共15页Qiang-Qiang Zhai Zhao Liu Ping Zhu; support from the National Natural Science Foundation of China(Grant No.52375256);the Natural Science Foundation of Shanghai(Grant Nos.21ZR1431500,23ZR1431600).; Al-Si alloys manufactured via high-pressure die casting(HPDC)are suitable for a wide range of applications.However,the heterogeneous microstructure and unpredictable pore distribution of Al-Si high-pressure die castin...; 关键词：High-pressure die casting(HPDC) Machine learning Crystal plasticity Aluminum alloys

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

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