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检索条件"机构=Key Laboratory of Big Data Intelligent Computing"
3211 条 记 录,以下是191-200 订阅
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LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring
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IEEE Transactions on Consumer Electronics 2025年
作者: Huang, Jingwei Wang, Chuansheng Huang, Jiayan Fan, Haoyi Xue, Xingsi Zhang, Fuquan Fuzhou University College of Computer and Big Data Fuzhou China Polytechnic University of Catalonia Department of Automatic Control Barcelona Spain Putian University New Engineering Industry College Putian China Fujian University of Technology Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian Fuzhou350118 China Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China Minjiang University College of Computer and Control Engineering Fuzhou China Sichuan Conservatory of Music Digital Media Art Key Laboratory of Sichuan Province Chengdu China Minjiang University Fuzhou Technology Innovation Center of Intelligent Manufacturing information System Fuzhou China Fuzhou China
Driver drowsiness electroencephalogram (EEG) signal monitoring can promptly alert drivers of their drowsiness in edge-end Consumer Electronics (CE), thereby reducing the probability of traffic accidents. Graph convolu... 详细信息
来源: 评论
Hyper-Parameter Optimization and Proxy Re-encryption for Federated Learning  6th
Hyper-Parameter Optimization and Proxy Re-encryption for F...
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6th International Conference on Blockchain and Trustworthy Systems, BlockSys 2024
作者: Du, Wanrong Wen, Bin Ma, Mengshuai Liu, Wenlong Wei, Xiaoxun Key Laboratory of Data Science and Smart Education Ministry of Education Hainan Normal University Haikou571158 China School of Information Science and Technology Hainan Normal University Haikou571158 China Cloud Computing and Big Data Research Center Hainan Normal University Haikou571158 China
Federated learning is a distributed machine learning paradigm that allows multiple participants to collaborate on training a shared model without revealing their own data. However, federated learning faces challenges ... 详细信息
来源: 评论
Correction: Deep learning assists early-detection of hypertension-mediated heart change on ECG signals
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Hypertension research : official journal of the Japanese Society of Hypertension 2025年 第2期48卷 874-875页
作者: Chengwei Liang Fan Yang Xiaobing Huang Lijuan Zhang Ying Wang Department of Automation Xiamen University Xiamen Fujian China. National Institute for Data Science in Health and Medicine Xiamen University Xiamen Fujian China. Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision Xiamen Fujian China. Fuzhou First General Hospital Fujian Medical University Fujian China. The First Affiliation Hospital of Xiamen University Xiamen University Xiamen Fujian China. zhangli.jennifer@***. Department of Automation Xiamen University Xiamen Fujian China. wangying@***. National Institute for Data Science in Health and Medicine Xiamen University Xiamen Fujian China. wangying@***. Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision Xiamen Fujian China. wangying@***.
来源: 评论
NSPG-Miner: Mining Repetitive Negative Sequential Patterns
arXiv
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arXiv 2025年
作者: Li, Yan Wang, Zhulin Liu, Jing Guo, Lei Fournier-Viger, Philippe Wu, Youxi Wu, Xindong School of Economics and Management Hebei University of Technology Tianjin300401 China School of Artificial Intelligence Hebei University of Technology Tianjin300401 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300401 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518061 China Hebei Key Laboratory of Big Data Computing 300401 China Key Laboratory of Knowledge Engineering with Big Data The Ministry of Education of China Hefei University of Technology Hefei230009 China
Sequential pattern mining (SPM) with gap constraints (or repetitive SPM or tandem repeat discovery in bioinformatics) can find frequent repetitive subsequences satisfying gap constraints, which are called positive seq... 详细信息
来源: 评论
Recommender system based on noise enhancement and multi-view graph contrastive learning
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Applied Soft computing 2025年 177卷
作者: Li, Duantengchuan Lu, Jiayao Wang, Zhihao Wang, Jingxiong Wang, Xiaoguang Shi, Fobo Liu, Yu School of Information Management Wuhan University Wuhan430072 China Intelligent Computing Laboratory for Cultural Heritage Wuhan University Wuhan430072 China Big Data Institute Wuhan University Wuhan430072 China School of Computer Science Wuhan University Wuhan430072 China
Graph neural network has become the mainstream model of Knowledge-aware Recommendation because of its ability to capture higher-order information. Contrastive learning, due to its self-supervised learning paradigm, ha... 详细信息
来源: 评论
Exploiting Robust Model Watermarking Against the Model Fine-Tuning Attack via Flat Minima Aware Optimizers
Exploiting Robust Model Watermarking Against the Model Fine-...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Dongdong Lin Yue Li Bin Li Jiwu Huang Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China Shenzhen Key Laboratory of Media Security Shenzhen University Shenzhen China SZU-AFS Joint Innovation Center for AI Technology Shenzhen University Shenzhen China Xiamen Key Laboratory of Data Security and Blockchain Technology Huaqiao University Xiamen China Guangdong Laboratory of Machine Perception and Intelligent Computing Shenzhen MSU-BIT University Shenzhen China
With the rapid advancement of deep neural networks (DNNs), model watermarking has emerged as a widely adopted technique for safeguarding model copyrights. A prevalent method involves utilizing a watermark decoder to r... 详细信息
来源: 评论
Safe Reinforcement Learning for Social Motor Coordination in Two Dimensional Space  26
Safe Reinforcement Learning for Social Motor Coordination in...
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26th International Conference on Industrial Technology, ICIT 2025
作者: Yang, Fan Huang, Yuening Zhai, Chao Zhang, Hehong China University of Geosciences School of Automation Wuhan Campus China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Rice University George R. Brown School of Engineering and Computing HoustonTX United States Fuzhou University School of Computer and Data Science Fuzhou China
This paper presents an interactive motion control method based on reinforcement learning, designed to assist children with autism who have social motor impairments through a mirror game intervention. The virtual teach... 详细信息
来源: 评论
Incorporating edge sharpening and covariance attention for named entity recognition
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Neurocomputing 2025年 643卷
作者: Yang, Caiwei Chen, Yanping Yu, Shuai Huang, Ruizhang Qin, Yongbin Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education Guizhou University Guizhou Guiyang550025 China State Key Laboratory of Public Big Data Guizhou university Guizhou Guiyang550025 China College of Computer Science and Technology Guizhou University Guiyang550025 China
Named Entity Recognition (NER) is a key application in the field of Artificial Intelligence and Natural Language Processing, which automatically identifies and categorizes entities in text by intelligent algorithms. I... 详细信息
来源: 评论
UNeLF: Unconstrained Neural Light Field for Self-Supervised Angular Super-Resolution
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Zhao, Mingyuan Sheng, Hao Chen, Rongshan Cong, Ruixuan Cui, Zhenglong Yang, Da Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beijing100191 China Beihang University Data Science and Intelligent Computing Laboratory Hangzhou International Innovation Institute Hangzhou311115 China Macao Polytechnic University Faculty of Applied Sciences 999078 China
Compared to supervised learning methods, self-supervised learning methods address the domain gap problem between light field (LF) datasets collected under varying acquisition conditions, which typically leads to decre... 详细信息
来源: 评论
MODFuzz: A Multi-Objective Directed Fuzzer for USB Drivers
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IEEE Internet of Things Journal 2025年
作者: Zhou, Yilin Peng, Guojun Wang, Xingliang Wang, Chenyang Li, Zichuan Liu, Side Wang, Yanhao Yang, Xiuzhang Fu, Jianming Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China Indiana University Bloomington BloomingtonIN United States Nio Inc Beijing China Guizhou University Guizhou Big Data Academy Guiyang China
USB interfaces have become ubiquitous in various Internet of Things (IoT) devices, all adhering to the same USB protocol. While enhancing convenience, they also widen the potential attack surface. Fuzzing is a proacti... 详细信息
来源: 评论