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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

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

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

Understanding and improving fairness in cognitive diagnosis: 《Science China(Information Sciences)》2024年第5期95-110,共16页Zheng ZHANG Le WU Qi LIU Jiayu LIU Zhenya HUANG Yu YIN Yan ZHUANG Weibo GAO Enhong CHEN; supported in part by National Key Research and Development Program of China(Grant No.2021YFF0901003);National Natural Science Foundation of China(Grant Nos.61922073,U20A20229);University Synergy Innovation Program of Anhui Province(Grant No.GXXT-2022-042)。; Intelligent education is a significant application of artificial intelligence.One of the key research topics in intelligence education is cognitive diagnosis,which aims to gauge the level of proficiency among students...; 关键词：FAIRNESS intelligent education cognitive diagnosis PSYCHOMETRICS adversarial learning

What-If XAI Framework (WiXAI): From Counterfactuals towards Causal Understanding: 《Journal of Computer and Communications》2024年第6期169-198,共30页Neelabh Kshetry Mehmed Kantardzic; People learn causal relations since childhood using counterfactual reasoning. Counterfactual reasoning uses counterfactual examples which take the form of “what if this has happened differently”. Counterfactual exam...; 关键词：XAI AI WiXAI Causal Understanding COUNTERFACTUALS Counterfactual Explanation

Understanding adversarial attacks on observations in deep reinforcement learning被引量：1: 《Science China(Information Sciences)》2024年第5期65-79,共15页You QIAOBEN Chengyang YING Xinning ZHOU Hang SU Jun ZHU Bo ZHANG; supported by National Key Research and Development Program of China (Grant Nos. 2020AAA0104304, 2017YFA0700904);National Natural Science Foundation of China (Grant Nos. 61620106010, 62061136001, 61621136008, 62076147, U19B2034, U1811461, U19A2081);Beijing NSF Project (Grant No. JQ19016);Beijing Academy of Artificial Intelligence (BAAI);Tsinghua-Huawei Joint Research Program, Tsinghua Institute for Guo Qiang;Tsinghua-OPPO Joint Research Center for Future Terminal Technology;Tsinghua-China Mobile Communications Group Co., Ltd. Joint Institute; Deep reinforcement learning models are vulnerable to adversarial attacks that can decrease the cumulative expected reward of a victim by manipulating its observations.Despite the efficiency of previous optimization-ba...; 关键词：deep learning reinforcement learning adversarial robustness adversarial attack

Understanding the demand predictability of bike share systems:A station-level analysis: 《Frontiers of Engineering Management》2023年第4期551-565,共15页Zhuoli YIN Kendrick HARDAWAY Yu FENG Zhaoyu KOU Hua CAI; Predicting demand for bike share systems(BSSs)is critical for both the management of an existing BSS and the planning for a new BSS.While researchers have mainly focused on improving prediction accuracy and analysing ...; 关键词：bike share systems demand prediction prediction errors machine learning ENTROPY

Understanding the Predication Mechanism of Deep Learning through Error Propagation among Parameters in Strong Lensing Case: 《Research in Astronomy and Astrophysics》2023年第12期252-262,共11页Xilong Fan Peizheng Wang Jin Li Nan Yang; supported by the National Natural Science Foundation of China(grant No.11922303);the Natural Science Foundation of Chongqing(grant No.CSTB2023NSCQ-MSX0103);the Key Research Program of Xingtai 2020ZC005;the Fundamental Research Funds for the Central Universities(grant No.2042022kf1182)。; The error propagation among estimated parameters reflects the correlation among the parameters.We study the capability of machine learning of"learning"the correlation of estimated parameters.We show that machine learn...; 关键词：gravitational lensing strong-methods data analysis-Galaxy fundamental parameters

Grad-CAM:Understanding AI Models被引量：1: 《Computers, Materials & Continua》2023年第8期1321-1324,共4页Shuihua Wang Yudong Zhang; Sino-UK Education Fund(OP202006);Royal Society(RP202G0230);MRC(MC_PC_17171);BHF(AA/18/3/34220);Hope Foundation for Cancer Research(RM60G0680);GCRF(P202PF11);BBSRC(RM32G0178B8);Sino-UK Industrial Fund(RP202G0289);Data Science Enhancement Fund(P202RE237);LIAS(P202ED10&P202RE969);Fight for Sight(24NN201).; Artificial intelligence(AI)[1,2]allows computers to think and behave like humans,so it is now becoming more and more influential in almost every field[3].Hence,users in businesses,industries,hospitals[4],etc.,need to ...; 关键词：Artificial intelligence Grad-CAM deep learning convolutional neural networks CLASSIFICATION LOCATION explainable

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