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检索条件"机构=Key Laboratory of Services Computing Technology and System"
1813 条 记 录,以下是251-260 订阅
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A Metamorphic Relation Identification Method based on GEP  9
A Metamorphic Relation Identification Method based on GEP
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9th International Conference on Dependable systems and Their Applications, DSA 2022
作者: Hong, Jie Zhang, Jie Qiu, Qi Ma, Angang Li, Meng Yan, Shiyu Gong, Helin School of Computing University of South China Hunan Hengyang China Eng. and Technol. Res. Ctr. of Software Eval. and Test. for Intellectual Equipment of Hunan Province Hunan Hengyang China Cnnc Key Laboratory on High Trusted Computing Hunan Hengyang China Nuclear Power Institute of China Science and Technology on Reactor System Design Technology Laboratory Chengdu China
Metamorphic testing is one of the effective methods to alleviate the test oracle problem. Metamorphic relation is the core of metamorphic testing, and there is no effective automatic identification technology. This pa... 详细信息
来源: 评论
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-Identification
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IEEE Internet of Things Journal 2025年
作者: Pei, Jiangbo Jiang, Zhuqing Men, Aidong Wang, Haiying Luo, Haiyong Wen, Shiping Beijing University of Posts and Telecommunications School of Artificial Intelligence Beijing100876 China Beijing Key Laboratory of Network System and Network Culture China Chinese Academy of Sciences Institute of Computing Technology Beijing100190 China University of Technology Australian AI Institute Faculty of Engineering and Information Technology SydneyNSW2007 Australia
Single-camera-training person re-identification (SCT re-ID) aims to train a re-ID model using SCT datasets where each person appears in only one camera. The main challenge of SCT re-ID is to learn camera-invariant fea... 详细信息
来源: 评论
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
arXiv
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arXiv 2024年
作者: Zhu, Peng Li, Yuante Hu, Yifan Liu, Qinyuan Cheng, Dawei Liang, Yuqi Department of Computer Science and Technology Tongji University Shanghai China Department of Computer Science and Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Artificial Intelligence Laboratory Shanghai China Seek Data Group Emoney Inc Shanghai China
Stock price prediction is a challenging problem in the field of finance and receives widespread attention. In recent years, with the rapid development of technologies such as deep learning and graph neural networks, m... 详细信息
来源: 评论
Facial StO2-based Stress Recognition using Automatic Graph Generation and Dual-Stream GNN
Facial StO2-based Stress Recognition using Automatic Graph G...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Yingjuan Jia Hanpu Wang Xinyu Liu Tong Chen College of Electronic and Information Engineering Southwest University China Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest University China Institute of Legal Psychology and Intelligent Computing Southwest University China
The recognition of stress responses in health, resilience, and psychopathology holds significant scientific importance. The biological information carried by the facial tissue oxygen saturation (StO2) is a useful indi... 详细信息
来源: 评论
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kaijun Deng Dezhi Zheng Jindong Xie Jinbao Wang Weicheng Xie Linlin Shen Siyang Song Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Department of Computer Science University of Exeter
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed p... 详细信息
来源: 评论
FuzzyTrack: User Adaptive Cervical Spine Motion Prediction with Earable Inertial Sensing
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IEEE Transactions on Fuzzy systems 2024年
作者: Luo, Chengwen Li, Yaxue Chen, Gecheng Li, Xing Zhang, Jin Wei, Bo Li, Jianqiang Shenzhen University National Engineering Laboratory for Big Data System Computing Technology China Dongguan University of Technology School of Electrical Engineering & Intelligentization Guangdong Dongguan523808 China Northeastern University China State Key Laboratory of Synthetical Automation for Process Industries Liaoning Shenyang110819 China Newcastle University United Kingdom
The widespread use of electronic devices has contributed to an increase in poor posture, particularly when it comes to the cervical spine, leading to various cervical vertebral pain disorders. In this paper, we focus ... 详细信息
来源: 评论
Discrete Geometric Coded Data Layout for Large-scale Object Storage systems
Discrete Geometric Coded Data Layout for Large-scale Object ...
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Yi Tian Guangping Xu Hongzhang Yang Yue Ni JiaXin Cao Lei Yang School of Computer Science and Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing Novel Software Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China Roycom (Tianjin) Information Technology Co. Ltd.
Regenerating codes are new network codes proposed to reduce the data required for fault repair, which can improve the recovery efficiency of faulty nodes in data storage systems. However, unlike Reed-Solomon code, whi...
来源: 评论
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
arXiv
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arXiv 2024年
作者: Li, Pengxiang Gao, Zhi Zhang, Bofei Yuan, Tao Wu, Yuwei Harandi, Mehrtash Jia, Yunde Zhu, Song-Chun Li, Qing Beijing Key Laboratory of Intelligent Information Technology School of Computer Science & Technology Beijing Institute of Technology China State Key Laboratory of General Artificial Intelligence BIGAI China State Key Laboratory of General Artificial Intelligence Peking University China Department of Electrical and Computer System Engineering Monash University Australia Guangdong Laboratory of Machine Perception and Intelligent Computing Shenzhen MSU-BIT University China Department of Automation Tsinghua University China
Vision language models (VLMs) have achieved impressive progress in diverse applications, becoming a prevalent research direction. In this paper, we build FIRE, a feedback-refinement dataset, consisting of 1.1M multi-t... 详细信息
来源: 评论
Downstream-agnostic Adversarial Examples
Downstream-agnostic Adversarial Examples
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International Conference on Computer Vision (ICCV)
作者: Ziqi Zhou Shengshan Hu Ruizhi Zhao Qian Wang Leo Yu Zhang Junhui Hou Hai Jin School of Cyber Science and Engineering Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan University School of Information and Communication Technology Griffith University Department of Computer Science City University of Hong Kong School of Computer Science and Technology Huazhong University of Science and Technology Cluster and Grid Computing Lab
Self-supervised learning usually uses a large amount of unlabeled data to pre-train an encoder which can be used as a general-purpose feature extractor, such that downstream users only need to perform fine-tuning oper...
来源: 评论
Virtual-Source and Virtual-Swarm-Based Particle Swarm Optimizer for Large-Scale Multi-Source Location via Robot Swarm
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IEEE Transactions on Evolutionary Computation 2024年 1-1页
作者: Zhang, JunQi Lin, YuXuan Zhou, MengChu Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai Electronic Transactions and Information Service Collaborative Innovation Center Tongji University Shanghai China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA
Multi-source location is a significant application in the field of robot swarm and is required to find all sources whose number and distribution are unknown in advance. With few parameters and fast search, Particle Sw... 详细信息
来源: 评论