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检索条件"机构=the Laboratory of Intelligent Computing and Software Engineering"
366 条 记 录,以下是161-170 订阅
排序:
TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0
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IEEE Transactions on Consumer Electronics 2024年
作者: Xia, Yuanjun Liu, Yining Chen, Jingxue Liang, Yangfan Khan, Fazlullah Alturki, Ryan Wang, Xiaopei Guilin University of Electronic Technology Guangxi Key Laboratory of Trusted Software School of Computer and Information Security Guilin541004 China Wenzhou University of Technology School of Data Science and Artificial Intelligence Wenzhou325027 China University of Technology School of Mathematical and Physical Sciences SydneyNSW2007 Australia Jiaxing University Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems The Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province The Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing314001 China University of Nottingham Ningbo China School of Computer Science Faculty of Science and Engineering Zhejiang Ningbo315104 China Umm AI-Qura University Makkah Department of Software Engineering College of Computing Saudi Arabia Riverside Department of Computer Science and Engineering University of California CA92521 United States
Federated learning (FL) has been widely used for privacy-preserving model updates in Industry 5.0, facilitated by 6G networks. Despite FL's privacy-preserving advantages, it remains vulnerable to attacks where adv... 详细信息
来源: 评论
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study
arXiv
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arXiv 2024年
作者: Wu, Xu Lai, Zhihui Jie, Zhou Gao, Can Hou, Xianxu Zhang, Ya-Nan Shen, Linlin The Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University China The National Engineering Laboratory for Big Data System Computing Technology Shenzhen University SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Guangdong Shenzhen518060 China
Low-light images are commonly encountered in real-world scenarios, and numerous low-light image enhancement (LLIE) methods have been proposed to improve the visibility of these images. The primary goal of LLIE is to g... 详细信息
来源: 评论
SMedBERT: A knowledge-enhanced pre-trained language model with structured semantics for medical text mining  59
SMedBERT: A knowledge-enhanced pre-trained language model wi...
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Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021
作者: Zhang, Taolin Cai, Zerui Wang, Chengyu Qiu, Minghui Yang, Bite He, Xiaofeng School of Software Engineering East China Normal University China Alibaba Group Shanghai Key Laboratory of Trsustworthy Computing China School of Computer Science and Technology East China Normal University China DXY Shanghai Research Institute for Intelligent Autonomous Systems China
Recently, the performance of Pre-trained Language Models (PLMs) has been significantly improved by injecting knowledge facts to enhance their abilities of language understanding. For medical domains, the background kn... 详细信息
来源: 评论
FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs
arXiv
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arXiv 2025年
作者: Wang, Xiaoqin Ma, Xusen Hou, Xianxu Ding, Meidan Li, Yudong Chen, Junliang Chen, Wenting Peng, Xiaoyang Shen, Linlin Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China AIAC Xi’an Jiaotong-Liverpool University China Tsinghua University China The Hong Kong Polytechnic University Hong Kong City University of Hong Kong Hong Kong Sun Yat-sen University China
Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in various tasks. However, effectively evaluating these MLLMs on face perception remains largely unexplored. To address this gap, we i...
来源: 评论
Spatiotemporal Action Detection Based on Fine-Grained
SSRN
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SSRN 2024年
作者: Cheng, Yan Mike, Jack Fang, Chengxing Huang, Jiawen Wen, Yu School of Software Jiangxi Normal University Nanchang330022 China School of Computer Information Engineering Jiangxi Normal University Nanchang330022 China Business College of Jiangxi Normal University Nanchang330022 China Key Laboratory of Intelligent Information Processing and Emotional Computing in Jiangxi Province Nanchang330022 China Shanxi Datong University China
In the field of computer vision, spatiotemporal action detection is a challenging task. Traditional methods such as YOWO have achieved certain results in real-time and accuracy, but still have shortcomings in dealing ... 详细信息
来源: 评论
Multi-scale Contrastive Learning for Gastroenteroscopy Classification
Multi-scale Contrastive Learning for Gastroenteroscopy Class...
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Annual IEEE Symposium on Computer-Based Medical Systems
作者: Dan Li Xuechen Li Zhibin Peng Wenting Chen Linlin Shen Guangyao Wu Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology ShenZhen University Shenzhen China City University of Hong Kong Hong Kong SAR China Shenzhen Institute of Artificial Intelligence & Robotics for Society Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University General Hospital
In gastroenteroscopy image analysis, numerous CADs demonstrate that deep learning aids doctors' diagnosis. The shapes and sizes of the lesions are varied. And in the clinic, the dataset appears to be data imbalanc...
来源: 评论
DeepMesh: A Comprehensive Survey of Deep Learning-Based Routing Performance in Wireless Mesh Networks
DeepMesh: A Comprehensive Survey of Deep Learning-Based Rout...
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International Conference on intelligent System and Knowledge engineering, ISKE
作者: Qiu Xiaoping Md Zahidul Alam Shiling Du Zhongjian Yue Yulan Wang School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu China Tangshan Institute of Southwest Jiaotong University Tangshan China National United Engineering Laboratory of Integrated and Intelligent Transportation Chengdu China Ministry of Education Engineering Research Center of Sustainable Urban Intelligent Transportation Chengdu China Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province Chengdu China Sichuan Institute of industrial Software Technology Chengdu Sichuan China
This paper provides a analysis of the challenges faced in routing in wireless mesh networks and how deep learning can be used to improve performance. Wireless mesh networks (WMNs) are a particular kind of wireless net...
来源: 评论
Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning
arXiv
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arXiv 2023年
作者: Ismail, Leila Materwala, Huned Hennebelle, Alain Intelligent Distributed Computing and Systems Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University Al Ain Abu Dhabi15551 United Arab Emirates Independent Data Scientist and Engineer Al Ain Abu Dhabi United Arab Emirates
COVID-19 has infected more than 68 million people worldwide since it was first detected about a year ago. Machine learning time series models have been implemented to forecast COVID-19 infections. In this paper, we de... 详细信息
来源: 评论
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement
arXiv
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arXiv 2024年
作者: Wu, Xu Hou, XianXu Lai, Zhihui Zhou, Jie Zhang, Ya-Nan Pedrycz, Witold Shen, Linlin The Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Guangdong Shenzhen518060 China The Department of Electrical & Computer Engineering University of Alberta University of Alberta Canada
Low-light image enhancement (LLIE) aims to improve low-illumination images. However, existing methods face two challenges: (1) uncertainty in restoration from diverse brightness degradations;(2) loss of texture and co... 详细信息
来源: 评论
A Blockchain-Based Multi-Cloud Storage Data Consistency Verification Scheme
A Blockchain-Based Multi-Cloud Storage Data Consistency Veri...
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Feiyu Wang Jian-tao Zhou Hao Wang Xu Guo College of Computer Science Inner Mongolia University Hohhot China Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Key Laboratory of Social Computing and Data Processing Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Engineering Research Center of Ecological Big Data Ministry of Education National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian China
Users worldwide widely use cloud storage because of its efficiency, convenience, and high availability. Multi-cloud storage is usually selected to ensure the high availability of data. Unfortunately, when data is migr... 详细信息
来源: 评论