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检索条件"机构=School of Computer Software Technology"
14622 条 记 录,以下是41-50 订阅
排序:
Instruction selection optimization for VLIW architecture based on classification node merging
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Journal of Supercomputing 2025年 第7期81卷 1-19页
作者: Liu, Fangjun Zhang, Huifu Hu, Yonghua Xie, Anxing Cao, Wei Mo, Shangfeng School of Computer Science and Engineering Hunan University of Science and Technology XiangTan411201 China Hunan Key Laboratory for Service Computing and Novel Software Technology XiangTan411201 China
Traditional instruction selection methods fail to fully exploit the very long instruction word (VLIW) architecture’s efficient scalar instructions. We propose an optimized instruction selection method based on classi... 详细信息
来源: 评论
A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 10772-10785页
作者: Liu, Rixian Lu, Hangyuan Chi, Biwei Yang, Yong Huang, Shuying Jinhua University of Vocational Technology College of Information Engineering Jinhua321007 China Tiangong University School of Computer Science and Technology Tianjin300387 China Tiangong University School of Software Tianjin300387 China
Pansharpening aims to produce a high resolution multispectral image by fusing a panchromatic image with a low-resolution multispectral image. Current pansharpening methods often overlook the significant modality diffe... 详细信息
来源: 评论
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering  31
Fine-tuning Large Language Models for Improving Factuality i...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Hu, Yinghao Gan, Leilei Xiao, Wenyi Kuang, Kun Wu, Fei School of Software Technology Zhejiang University China College of Computer Science and Technology Zhejiang University China
Hallucination, or the generation of incorrect or fabricated information, remains a critical challenge in large language models (LLMs), particularly in high-stake domains such as legal question answering (QA). In order... 详细信息
来源: 评论
When Crypto Fails: Demystifying Cryptographic Defects in Ethereum Smart Contracts
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IEEE Transactions on software Engineering 2025年 第05期51卷 1381-1398页
作者: Zhang, Jiashuo Chen, Jiachi Shen, Yiming Zhang, Tao Wang, Yanlin Chen, Ting Gao, Jianbo Chen, Zhong Peking University School of Computer Science China Sun Yat-sen University School of Software Engineering China Macau University of Science and Technology School of Computer Science and Engineering China University of Electronic Science and Technology of China School of Computer Science and Engineering China Beijing Jiaotong University Beijing Key Laboratory of Security and Privacy in Intelligent Transportation China
Ethereum has officially provided a set of system-level cryptographic APIs to enhance smart contracts with cryptographic capabilities. These APIs have been utilized in over 13.8% of Ethereum transactions, motivating de... 详细信息
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An Advanced Bald Eagle Search Algorithm for Image Enhancement
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computers, Materials & Continua 2025年 第3期82卷 4485-4501页
作者: Pei Hu Yibo Han Jeng-Shyang Pan School of Computer and Software Nanyang Institute of TechnologyNanyang473004China College of Artificial Intelligence Nanjing University of Information Science and TechnologyNanjing210044China Department of Information Management Chaoyang University of TechnologyTaichung413310Taiwan
Image enhancement utilizes intensity transformation functions to maximize the information content of enhanced *** paper approaches the topic as an optimization problem and uses the bald eagle search(BES)algorithm to a... 详细信息
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Triple Path Enhanced Neural Architecture Search for Multimodal Fake News Detection
Triple Path Enhanced Neural Architecture Search for Multimod...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Xu, Bo Xie, Qiujie Zhou, Jiahui Zong, Linlin School of Computer Science and Technology Dalian University of Technology China School of Computer Science Fudan University China School of Software Dalian University of Technology China
Multimodal fake news detection has become one of the most crucial issues on social media platforms. Although existing methods have achieved advanced performance, two main challenges persist: (1) Under-performed multim... 详细信息
来源: 评论
Network Traffic Anomaly Detection Based on DGBi-SA Model
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Engineering Letters 2025年 第3期33卷 612-619页
作者: Wang, Xin Dai, Hong Huang, Zheng Han, Yue University of Science and Technology Liaoning Liaoning CO Anshan114051 China School of Computer Science and Software Engineering University of Science and Technology Liaoning Liaoning CO Anshan114051 China
Network traffic anomaly detection plays a crucial role in today's network security and performance management. In response to the challenges in current network traffic data processing, such as insufficient structu... 详细信息
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ViF-SD2E: a robust weakly-supervised framework for neural decoding
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Neural Computing and Applications 2025年 第9期37卷 6645-6661页
作者: Feng, Jingyi Luo, Yong Song, Shuang Hu, Han National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan430072 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China
Neural decoding plays a vital role in the interaction between the brain and the outside world. Our task in this paper is to decode the movement track of a finger directly based on the neural data. Existing neural deco... 详细信息
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Deterministic and Universal Truthful Mechanism for Fair Matching  18th
Deterministic and Universal Truthful Mechanism for Fair Ma...
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18th International Joint Conference on Theoretical computer Science-Frontier of Algorithmic Wisdom, IJTCS-FAW 2024
作者: Xu, Hao Zhang, Jinshan Wang, Feng School of Computer Science Wuhan University Wuhan China School of Software Technology Zhejiang University Ningbo China
This study addresses the bipartite graph weight maximum matching problem with a focus on achieving fairness. We introduce a deterministic truthful mechanism and a universal truthful mechanism tailored for fair matchin... 详细信息
来源: 评论
Fairness-Aware Budgeted Edge Server Placement for Connected Autonomous Vehicles
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IEEE Transactions on Mobile Computing 2025年 第6期24卷 4762-4776页
作者: Wu, Jintao Xu, Xiaolong Cui, Guangming Zhang, Yiwen Qi, Lianyong Dou, Wanchun Cai, Zhipeng Nanjing University of Information Science & Technology Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services School of Software Nanjing210044 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun130012 China Nanjing University of Information Science & Technology Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services School of Software China Nanjing University State Key Laboratory for Novel Software Technology China Anhui University School of Computer Science and Technology Anhui230031 China College of Computer Science and Technology Qingdao266580 China Nanjing University State Key Laboratory for Novel Software Technology Nanjing210023 China Georgia State University Department of Computer Science United States
Mobile edge computing (MEC) considerably enhances the capabilities and performance of connected autonomous vehicles (CAVs) by deploying edge servers (ESs) on roadside units (RSUs) near CAVs, thereby ensuring low-laten... 详细信息
来源: 评论