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检索条件"机构=The Key Laboratory for Computer Virtual Technology and System Integration of Heibei Province"
213 条 记 录,以下是1-10 订阅
排序:
UDI-3DVT: A Novel Network for 3-D Reconstruction via Uncertainty-Driven Sampling and Incremental Visual-Tactile Fusion
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IEEE Sensors Journal 2025年 第6期25卷 10358-10369页
作者: Zhang, Chenyang Zhang, Shaohua Li, Yao Chen, Wenbai Gao, Guowei Wu, Peiliang Yanshan University Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province School of Information Science and Engineering Qinhuangdao066004 China Beijing Information Science and Technology University School of Automation Beijing100192 China
The fusion of visual and tactile senses allows robots to reconstruct and understand objects, aiding in downstream tasks such as object recognition and object grasping. However, most existing visual-tactile reconstruct... 详细信息
来源: 评论
Unsupervised Outlier Detection with Reinforced Noise Discriminator
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ACM Transactions on Intelligent systems and technology 2025年 第2期16卷 1-26页
作者: Zhang, Zhongping Liu, Daoheng Zhu, Jinwei Wu, Youxi Hebei Key Laboratory of Computer Virtual Technology and System Integration School of Information Science and Engineering Yanshan University Qinhuangdao China School of Information Science and Engineering Yanshan University Qinhuangdao China School of Artificial Intelligence Hebei University of Technology Tianjin China
Outlier detection is one of the hot topics in the field of machine learning and data mining. At present, there are many kinds of outlier detection algorithms. The accuracies of traditional outlier detection algorithms... 详细信息
来源: 评论
Energy-efficient computation offloading via deep reinforcement learning in mobility-aware multi-access edge computing systems with diverse users
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Expert systems with Applications 2025年 286卷
作者: Wu, Haixing Jin, Shunfu School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao066004 China
Multi-access Edge Computing (MEC) has been a promising solution that enables Internet of Things (IoT) devices to support computation-intensive applications by offloading some tasks to the network edge. However, most e... 详细信息
来源: 评论
DSAA: Cross-modal transferable double sparse adversarial attacks from images to videos
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Neurocomputing 2025年 639卷
作者: Han, Xueqiang Zhang, Shihui Wang, Houlin Tian, Qing School of Information Science and Engineering Yanshan University Hebei Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Hebei Qinhuangdao China Department of Computer Science University of Alabama at Birmingham AL United States
Recent preliminary research has examined cross-modal attacks, enabling the transition of unlabeled attacks from images to videos. The current cross-modal attacks are mainly dense attacks, while sparse attacks have not... 详细信息
来源: 评论
Towards self-interpretable review spammer group detection
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Information Sciences 2025年 716卷
作者: Huo, Chenghang Zhang, Fuzhi School of Information Science and Engineering Yanshan University Hebei Province Qinhuangdao China Hebei Key Laboratory of Computer Virtual Technology and System Integration Hebei Province Qinhuangdao China
Due to data imbalance, existing spammer group detection methods often yield suboptimal performance. Moreover, many of these approaches operate as black boxes, offering little to no interpretability for their detection... 详细信息
来源: 评论
Geo-Enhanced High-Order Feature Interaction Network for Cloud API QoS Prediction  19th
Geo-Enhanced High-Order Feature Interaction Network for Clou...
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19th CCF Conference on computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024
作者: Ma, Xinhong Zeng, Yehong Qi, Mingyang Si, Yali Chen, Zhen School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao066004 China Changshu Institute of Technology Jiangsu Changshu215500 China
In the era of open cloud, cloud API is an important component and key enabling technology to achieve efficient data transmission, artificial intelligence algorithm empowerment, and software development cost reduction ... 详细信息
来源: 评论
PromptHC: Multi-attention prompt guided haze-weather crowd counting
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Expert systems with Applications 2025年 286卷
作者: Shen, Jienan Tong, Liangang Li, Shaohua Kong, Weihang School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Information Technology Center Yanshan University Qinhuangdao066004 China Hebei Key Laboratory of Computer Virtual Technology and System Integration Qinhuangdao066004 China
Existing crowd counting methods encounter the challenge of degraded performance in hazy weather due to the blurring of pedestrian outlines. However, current hazy-weather crowd counting methods primarily focus on extra... 详细信息
来源: 评论
Multi-level graph contrastive learning for cold-start recommendation in mashup development
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Information Sciences 2025年 717卷
作者: Sun, Mengmeng Xu, Yueshen Tan, Zeyu You, Dianlong Chen, Zhen School of Information Science and Engineering Yanshan University Qinhuangdao 066004 China School of Computer Science and Technology Xidian University Xi'an 710071 China Hebei Key Laboratory for Computer Virtual Technology and System Integration Yanshan University Qinhuangdao 066004 China
One longstanding challenge in cloud API recommender systems is the Mashup cold-start problem, i.e., to recommend suitable cloud APIs for new Mashups without any historical invocation records. To address this challenge... 详细信息
来源: 评论
Multi-label feature selection with feature reconstruction and label correlations
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Expert systems with Applications 2025年 285卷
作者: Zhang, Ning Wang, Ao Lu, Pengwei Feng, Tao Xu, Ying Du, Guodong School of Information Science and Engineering Yanshan University Qinhuangdao066004 China Hebei Key Laboratory of Computer Virtual Technology and System Integration Yanshan University Qinhuangdao066004 China Department of Computer Science and Technology Tsinghua University Beijing100084 China Shenzhen Research Institute of Yanshan University Shenzhen518063 China
With the arrival of the big data era, multi-label data have frequently appeared in various fields. However, multi-label data often contain rich feature information, leading to a high-dimensional feature space. Thus, m... 详细信息
来源: 评论
Depression Scale Dictionary Decomposition Framework for Multimodal Automatic Depression Level Prediction
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IEEE Transactions on Circuits and systems for Video technology 2025年
作者: Niu, Mingyue Wang, Xu Gong, Jibing Liu, Bin Tao, Jianhua Schuller, Bjorn W. Yanshan University School of Information Science and Engineering Hebei province Qinhuangdao066004 China Hebei Key Laboratory of Computer Virtual Technology and System Integration China Technology Co. Ltd Bejing100022 China Bejing100190 China Tsinghua University Department of Automation Bejing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China University of Augsburg ZD.B. Chair of Embedded Intelligence for Health Care and Wellbeing Augsburg Germany Glam - Group on Language Audio and Music United Kingdom
Currently, many researchers aim to achieve automatic depression level prediction via speech and video behavior analysis. However, previous works have struggled to decompose audio and video sequences into the informati... 详细信息
来源: 评论