《Frontiers of Information Technology & Electronic Engineering》

作品数：1323被引量：2327H指数：16
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《Frontiers of Information Technology & Electronic Engineering》
主办单位：中国工程院;浙江大学
最新期次：2025年3期更多>>
发文主题：BASED_ONNETWORKANUSINGLEARNING更多>>
发文领域：自动化与计算机技术电子电信理学航空宇航科学技术更多>>
发文基金：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国家教育部博士点基金更多>>
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Training large-scale language models with limited GPU memory:a survey
《Frontiers of Information Technology & Electronic Engineering》2025年第3期309-331,共23页Yu TANG Linbo QIAO Lujia YIN Peng LIANG Ao SHEN Zhilin YANG Lizhi ZHANG Dongsheng LI 
Project supported by the National Natural Science Foundation of China(Nos.62025208 and 62421002)。
Large-scale models have gained significant attention in a wide range of fields,such as computer vision and natural language processing,due to their effectiveness across various applications.However,a notable hurdle in...
关键词：Training techniques Memory optimization Model parameters Model states Model activations 
A review of flexible job shop scheduling problems considering transportation vehicles
《Frontiers of Information Technology & Electronic Engineering》2025年第3期332-353,共22页Bin XIN Sai LU Qing WANG Fang DENG 
Project supported by the National Key R&D Program of China(No.2018YFB1308000);the National Outstanding Youth Talents Support Program(No.61822304);the Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX0100);the Shanghai Municipal Commission of Science and Technology Project(No.19511132101);the Projects of Major International(Regional)Joint Research Program of the National Natural Science Foundation of China(No.61720106011);the Beijing Advanced Innovation Center for Intelligent Robots and Systems;the National Science Fund for Distinguished Young Scholars of China(No.62025301);the National Natural Science Foundation of China(No.61873033)。
The flexible job shop scheduling problem for processing machines and transportation vehicles(FJSP_PT)has garnered significant attention from academia and industry.Due to the inclusion of transportation vehicle schedul...
关键词：Flexible manufacturing system Transportation vehicle Processing machine Integrated scheduling 
DRMSpell:dynamically reweighting multimodality for Chinese spelling correction
《Frontiers of Information Technology & Electronic Engineering》2025年第3期354-366,共13页Yinghao LI Heyan HUANG Baojun WANG Yang GAO 
Project supported by the National Natural Science Foundation of China(No.U21B2009)。
Chinese spelling correction(CSC)is a task that aims to detect and correct the spelling errors that may occur in Chinese texts.However,the Chinese language exhibits a high degree of complexity,characterized by the pres...
关键词：Chinese spelling correction MULTIMODALITY Masking strategy 
An intelligent mesh-smoothing method with graph neural networks
《Frontiers of Information Technology & Electronic Engineering》2025年第3期367-384,共18页Zhichao WANG Xinhai CHEN Junjun YAN Jie LIU 
supported by the National Key Research and Development Program of China(No.2021YFB0300101);the Youth Foundation of National University of Defense Technology,China(No.ZK2023-11);the National Natural Science Foundation of China(No.12102467)。
In computational fluid dynamics(CFD),mesh-smoothing methods are widely used to refine the mesh quality for achieving high-precision numerical simulations.Specifically,optimization-based smoothing is used for high-qual...
关键词：Unstructured mesh Mesh smoothing Graph neural network Optimization-based smoothing 
Significance extraction based on data augmentation for reinforcement learning
《Frontiers of Information Technology & Electronic Engineering》2025年第3期385-399,共15页Yuxi HAN Dequan LI Yang YANG 
Project supported by the Academic and Technical Leaders and Backup Candidates Program of Anhui Province,China(No.2019h211);the Natural Science Foundation of Anhui Province,China(No.2208085ME128)。
Deep reinforcement learning has shown remarkable capabilities in visual tasks,but it does not have a good generalization ability in the context of interference signals in the input images;this approach is therefore ha...
关键词：Deep reinforcement learning Visual tasks GENERALIZATION Data augmentation SIGNIFICANCE DeepMind Control generalization benchmark 
Distributed multi-target tracking with labeled multi-Bernoulli filter considering efficient label matching
《Frontiers of Information Technology & Electronic Engineering》2025年第3期400-414,共15页Changwen DING Chuntao SHAO Siteng ZHOUI Di ZHOU Runle DU Jiaqi LIU 
We propose a distributed labeled multi-Bernoulli(LMB)filter based on an efficient label matching method.Conventional distributed LMB filter fusion has the premise that the labels among local densities have already bee...
关键词：Distributed multi-sensor multi-target tracking Labeled multi-Bernoulli filter Arithmetic average fusion Label matching 
A power optimization approach for mixed polarity Reed–Muller logic circuits based on multi-strategy fusion memetic algorithm
《Frontiers of Information Technology & Electronic Engineering》2025年第3期415-426,共12页Mengyu ZHANG Zhenxue HE Yijin WANG Xiaojun ZHAO Xiaodan ZHANG Limin XIAO Xiang WANG 
Project supported by the National Natural Science Foundation of China(No.62102130);Central Government Guides Local Science and Technology Development Fund Project;China(No.226Z0201G);Natural Science Foundation of Hebei Province;China(Nos.F2020204003 and F2024204001);Science and Technology Research Projects of Higher Education Institutions in Hebei Province;China(No.QN2024138)。
The power optimization of mixed polarity Reed–Muller(MPRM)logic circuits is a classic combinatorial optimization problem.Existing optimization approaches often suffer from slow convergence and a propensity to converg...
关键词：Power optimization Multi-strategy fusion memetic algorithm(MFMA) Mixed polarity Reed-Muller(MPRM) Combinatorial optimization problem 
A geographic information encryption system based on Chaos-LSTM and chaos sequence proliferation
《Frontiers of Information Technology & Electronic Engineering》2025年第3期427-440,共14页Jia DUAN Luanyun HU Qiumei XIAO Meiting LIU Wenxin YU 
Project supported by the Open Topic of Hunan Engineering Research Center of Geographic Information Security and Application China (No. HNGISA2023005)。
In response to the strong correlation between the chaotic system state and initial state and parameters in traditional chaotic encryption algorithms, which may lead to periodicity in chaotic sequences, the chaos long ...
关键词：CHAOS Long short-term memory(LSTM) Chaos sequence proliferation(CSP) ZYNQ platform Image encryption 
An error-based observer improved by the repetitive control strategy for electro-optical tracking systems
《Frontiers of Information Technology & Electronic Engineering》2025年第3期441-455,共15页Mai TANG Wenqiang XIA Jiuqiang DENG Yao MAO 
Electro-optical tracking systems have been widely used in the cutting-edge domains of free space environment detection and communication owing to their exceptional performance.However,external disturbances often signi...
关键词：Disturbance suppression Error-based observer Repetitive control Electro-optical tracking system Specific frequency point 
Reinforcement learning based privacy-preserving consensus tracking control of nonstrict-feedback discrete-time multi-agent systems
《Frontiers of Information Technology & Electronic Engineering》2025年第3期456-471,共16页Yang YANG Fanming HUANG Dong YUE 
Project supported by the National Natural Science Foundation of China(Nos.62473204 and 61873130);the"Chunhui Program"Collaborative Scientific Research Project,China(No.202202004);the Natural Science Foundation of Nanjing University of Posts and Telecommunications,China(Nos.NY221082,NY222144,and NY223075);the Huali Program for Excellent Talents in Nanjing University of Posts and Telecommunications,China。
This paper investigates a privacy-preserving consensus tracking problem for a class of nonstrict-feedback discrete-time multi-agent systems(MASs).An improved Liu cryptosystem is developed to alleviate the errors betwe...
关键词：Multi-agent systems Consensus tracking PRIVACY-PRESERVING Reinforcement learning 
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