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An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation

CAAI Transactions on Intelligence Technology 2023年第3期8卷 734-754页

作者： Yong Zhang Ying Hu Xiaozhi Gao Dunwei Gong Yinan Guo Kaizhou Gao Wanqiu Zhang School of Information and Control Engineering China University of Mining and TechnologyXuzhouChina The Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunChina School of Computing University of Eastern FinlandKuopioFinland The Macao Institute of Systems Engineering Macao University of Science and TechnologyTaipaChina

In real life,a large amount of data describing the same learning task may be stored in different institutions(called participants),and these data cannot be shared among par-ticipants due to privacy *** case that different attributes/features of the same instance are stored in different institutions is called vertically distributed *** pur-pose of vertical‐federated feature selection(FS)is to reduce the feature dimension of vertical distributed data jointly without sharing local original data so that the feature subset obtained has the same or better performance as the original feature *** solve this problem,in the paper,an embedded vertical‐federated FS algorithm based on particle swarm optimisation(PSO‐EVFFS)is proposed by incorporating evolutionary FS into the SecureBoost framework for the first *** optimising both hyper‐parameters of the XGBoost model and feature subsets,PSO‐EVFFS can obtain a feature subset,which makes the XGBoost model more *** the same time,since different participants only share insensitive parameters such as model loss function,PSO‐EVFFS can effec-tively ensure the privacy of participants'***,an ensemble ranking strategy of feature importance based on the XGBoost tree model is developed to effectively remove irrelevant features on each ***,the proposed algorithm is applied to 10 test datasets and compared with three typical vertical‐federated learning frameworks and two variants of the proposed algorithm with different initialisation ***-mental results show that the proposed algorithm can significantly improve the classifi-cation performance of selected feature subsets while fully protecting the data privacy of all participants.

关键词： Evolutionary optimization feature selection privacy protection vertical‐federated learning

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A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade Based on Event-Driven 1

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3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Zhu, Yunchong Li, Kebo Liu, Yuanhe Liang, Yan’gang College of Aerospace Science and Engineering National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Mission Changsha410073 China

ISBN: (数字)9789819710874

ISBN: (纸本)9789819710867

Propose an event-driven online task allocation algorithm to solve the problem of online task allocation for the Loitering Munition Group, which has no information about any targets in operational area. Firstly, analyzing the properties of enemy and friendly equipment in typical regional blockade operations and designing the process of unknown regional blockade operations. Secondly, propose the concept of "benefit-cost ratio" to drive the dynamic scrolling of the task allocation window, and achieve a fast response to sudden events such as new target appearance or projectile damage execution, and timely adjust the task allocation plan. Then, construct a simulation system for the Loitering Munition Group's regional blockade operation, conduct Monte Carlo simulation to verify the effectiveness and reliability of the online task allocation method. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Monte Carlo methods

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Combination of S…N and S…Cl Noncovalently Conformational Locks for Constructing High-Planarity and Low-Cost Nonfused-Ring Electron Acceptors

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Chinese Journal of Chemistry 2023年第15期41卷 1797-1802页

作者： Ziyang Han Congqi Li Xiaobin Gu Xiao Han Sixuan Wang Yanan Wei Jinhua Gao Zhixiang Wei Yunhao Cai Xin Zhang Hui Huang College of Materials Science and Opto-Electronic Technology&Center of Materials Science and Optoelectronics Engineering&CAS Center for Excellence in Topological Quantum Computation&CAS Key Laboratory of Vacuum Physics University of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Nanoscience(CAS)&Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS) National Center for Nanoscience and TechnologyBeijing 100190China

Comprehensive Summary By employing thiazole and 4-chlorothiazole as the A′units,two A-D-A′-D-A type nonfused-ring electron acceptors(NFREAs)Tz-H and Tz-Cl were designed and *** thiazole in Tz-H with 4-chlorothiazole can not only remarkably shorten the synthetic route through C—H direct arylation but also enhance molecular planarity with the simultaneous incorporation of S…N and S…Cl noncovalently conformational locks(NoCLs).The photovoltaic devices based on PM6:Tz-Cl exhibited a power conversion efficiency as high as 11.10%,much higher than that of PM6:Tz-H(6.41%),mainly due to more efficient exciton dissociation,better and more balanced carrier mobility,less charge recombination,and more favorable *** findings demonstrate the great potential of NoCLs in achieving low-cost and high-performance NFREAs.

关键词： Organic solar cells Nonfused-ring electron acceptors Noncovalently conformational locks High-planarity and low-cost acceptors 4-Chlorothiazole

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APF-Based Control for On-Orbit Swarm Guard Against Multiple Threat Targets 7th

APF-Based Control for On-Orbit Swarm Guard Against Multiple ...

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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Wang, Hanwei Zhang, Jiacheng Zhu, Yuehe Luo, Yazhong Jin, Ke Zhang, Yu Fu, Lifeng College of Aerospace Science and Engineering National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions Changsha410073 China

ISBN: (纸本)9789819733279

With the number of satellites and space debris growing fast, it is significant to develop a swarm-to-swarm defense method to protect the on-orbit high value spacecraft. In order to solve the difficulties of swarm assignment combinations, unpredictable threat target maneuvers, non-Euclidean dynamics, and real-time control requirements, a novel method mainly based on Hungarian algorithm and artificial potential fields is proposed. The method involves rapidly searching the one-to-one mission assignment scheme and generating control laws of defenders in real time. Both a positive and a conservative defend strategy are proposed. Case studies show that the computation time of the instantaneous target assignment and control scheme is 0.08 ms. When defenders are not less than threat targets and their maneuverability are the same, the interception number is 100%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Space debris

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All-optical neuromorphic devices: materials, working mechanism,and applications

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science China Chemistry 2025年

作者： Song Wang Hao Chen Hui Huang College of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences College of Chemistry and Molecular Engineering Peking University

Traditional von Neumann computing, with physical separation of memory and processing units, cannot satisfy the development of artificial intelligence and cloud computing. Neuromorphic computing, inspired by the human brain, has drawn much ***-optical neuromorphic (AON) devices employ optical signals as information carriers and leverage the neuromorphic functions to implement fast operation speed, low energy consumption, and high bandwidth of neuromorphic computing. Here, we discuss the recent progress in AON devices, including materials, device performance, working mechanisms, and applications. Moreover,the advantages and limitations of AON are presented and discussed. Finally, the perspective of AON devices points out the future research direction of neuromorphic computing.

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A discrete Perfectly Matched Layer for peridynamic scalar waves in two-dimensional viscous media

arXiv

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arXiv 2025年

作者： Du, Yu Li, Yonglin Zhang, Jiwei School of Mathematics and Computational Science Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Hunan411105 China School of Mathematics and Statistics Hubei Key Laboratory of Computational Science Wuhan University Wuhan430072 China

In this paper, we propose a discrete perfectly matched layer (PML) for the peridynamic scalar wave-type problems in viscous media. Constructing PMLs for nonlocal models is often challenging, mainly due to the fact that nonlocal operators are usually associated with various kernels. We first convert the continua model to a spatial semi-discretized version by adopting quadrature-based finite difference scheme, and then derive the PML equations from the semi-discretized equations using discrete analytic continuation. The harmonic exponential fundamental solutions (plane wave modes) of the semi-discretized equations are absorbed by the PML layer without reflection and are exponentially damped. The excellent efficiency and stability of discrete PML are demonstrated in numerical tests by comparison with exact absorbing boundary *** Codes 65N30, 65R20, 46N20, 45A05, 78A40 Copyright © 2025, The Authors. All rights reserved.

关键词： Boundary conditions

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Research and analysis of psychological data based on machine learning methods

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International Journal of Wireless and Mobile Computing 2022年第1期22卷 1-8页

作者： Chen, Guangshun Lv, Wei Ma, Junwei Liang, Yanchun Zhuhai Lab. of Key Lab. of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin University Jilin Zhuhai China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Jilin Changchun China

The integration of psychology and computer science has become the mainstream contemporary research method on psychological data. Weibo, China's largest open platform for communication and information sharing between users, has many emotional contents hidden in its data. According to the current trend, the Weibo data are segmented by machine learning to obtain a psychological portrait of Weibo users. This design uses Long and Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs) to perform sentiment classification on Weibo data. The classification results are analysed using word frequency analysis and the Latent Dirichlet Allocation (LDA) model to obtain portraits of Weibo users' sentiment and an analysis of the results. The results are displayed in the form of word clouds. According to the clustering results of the word clouds, the main factors affecting different polar emotions can be analysed. © 2022 Inderscience Enterprises Ltd.. All rights reserved.

关键词： Statistics

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Interactions between H_(2)O_(2)and dissolved organic matter during granular activated carbon-based residual H_(2)O_(2)quenching from the upstream UV/H_(2)O_(2)process

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Journal of Environmental sciences 2023年第6期128卷 139-149页

作者： Yaoyao Kang Junfeng Lian Yichun Zhu Zuwen Liu Wentao Li Huiyu Dong Yuanyue Wang Jinfeng Zeng Zhimin Qiang Jiangxi Provincial Key Laboratory of Environmental Geotechnology and Engineering Disaster Control Jiangxi University of Science and TechnologyGanzhou 341000China Ganzhou Key Laboratory of Basin Pollution Simulation and Control Jiangxi University of Science and TechnologyGanzhou 341000China Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China CECEP Environmental Protection Investment Development(Jiangxi)Co.Ltd. Nanchang 330006China Hydrology and Water Resources Monitoring Center for Ganjiang Upstream Watershed Ganzhou 341000China

Granular activated carbon(GAC)filtration can be employed to synchronously quench residual H_(2)O_(2)from the upstream UV/H_(2)O_(2)process and further degrade dissolved organicmatter(DOM).In this study,rapid small-scale column tests(RSSCTs)were performed to clarify the mechanisms underlying the interactions between H_(2)O_(2)and DOM during the GAC-based H_(2)O_(2)quenching *** was observed that GAC can catalytically decompose H_(2)O_(2),with a long-lasting high efficiency(>80%for approximately 50,000 empty-bed volumes).DOM inhibited GAC-based H_(2)O_(2)quenching via a pore-blocking effect,especially at high concentrations(10 mg/L),with the adsorbed DOM molecules being oxidized by the continuously generated·OH;this further deteriorated the H_(2)O_(2)quenching *** batch experiments,H_(2)O_(2)could enhance DOM adsorption by GAC;however,in RSSCTs,it deteriorated DOM *** observation could be attributed to the different·OH exposure in these two *** was also observed that aging with H_(2)O_(2)and DOM altered the morphology,specific surface area,pore volume,and the surface functional groups of GAC,owing to the oxidation effect of H_(2)O_(2)and·OH on the GAC surface as well as the effect of ***-tionally,the changes in the content of persistent free radicals in the GAC samples were insignificant following different aging *** work contributes to enhancing understanding regarding the UV/H_(2)O_(2)-GAC filtration scheme,and promoting the application in drinking water treatment.

关键词： Granular activated carbon H_(2)O_(2)quenching Dissolved organic matter Rapid small-scale column tests Persistent free radicals

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AN ADAPTIVE POLICY TO EMPLOY SHARPNESS-AWARE MINIMIZATION 11

AN ADAPTIVE POLICY TO EMPLOY SHARPNESS-AWARE MINIMIZATION

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11th International Conference on Learning Representations, ICLR 2023

作者： Jiang, Weisen Yang, Hansi Zhang, Yu Kwok, James Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Peng Cheng Laboratory China

Sharpness-aware minimization (SAM), which searches for flat minima by min-max optimization, has been shown to be useful in improving model generalization. However, since each SAM update requires computing two gradients, its computational cost and training time are both doubled compared to standard empirical risk minimization (ERM). Recent state-of-the-arts reduce the fraction of SAM updates and thus accelerate SAM by switching between SAM and ERM updates randomly or periodically. In this paper, we design an adaptive policy to employ SAM based on the loss landscape geometry. Two efficient algorithms, AE-SAM and AE-LookSAM, are proposed. We theoretically show that AE-SAM has the same convergence rate as SAM. Experimental results on various datasets and architectures demonstrate the efficiency and effectiveness of the adaptive policy. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

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Local feature aggregation algorithm based on graph convolutional network

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Frontiers of Computer science 2022年第3期16卷 203-205页

作者： Hao WANG Liyan DONG Minghui SUN College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China

1Introduction and main contributions In the field of social networks and knowledge graphs,semi-supervised learning models based on graph convolutional networks have achieved great success in node classification[1],inductive node embedding[2],link prediction[3],and *** semi-supervised models based on graph convolutional network(GCN)[4]expect to obtain more feature information of a graph or accelerate the training.

关键词： convolution aggregation semi

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