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检索条件"机构=The Laboratory for Advanced Computing and Intelligence Engineering"
547 条 记 录,以下是1-10 订阅
LIRB-Based Quantum Circuit Fidelity Assessment and Gate Fault Diagnosis
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Computers, Materials & Continua 2025年 第2期82卷 2215-2233页
作者: Mengdi Yang Feng Yue Weilong Wang Xiangdong Meng Lixin Wang Pengyu Han Haoran He Benzheng Yuan Zhiqiang Fan Chenhui Wang Qiming Du Danyang Zheng Xuefei Feng Zheng Shan Laboratory for Advanced Computing and Intelligence Engineering Information Engineering UniversityZhengzhou450001China
Quantum circuit fidelity is a crucial metric for assessing the accuracy of quantum computation results and indicating the precision of quantum algorithm execution. The primary methods for assessing quantum circuit fid... 详细信息
来源: 评论
Zero-correlation Linear Cryptanalysis on Full-round Shadow  24
Zero-correlation Linear Cryptanalysis on Full-round Shadow
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5th International Conference on Computer Science and Management Technology, ICCSMT 2024
作者: Hong, Haonan Li, Wenya Chen, Ziyu Zhang, Kai Information Engineering University Henan Zhengzhou China Laboratory for Advanced Computing and Intelligence Engineering Jiangsu WuXi China
The rapid development of the Internet of Things (IoT) has led to an increasing demand for symmetric ciphers in IoT devices. Shadow is a lightweight block cipher proposed in 2021. In previous research, the security eva... 详细信息
来源: 评论
EDA-Q: Electronic Design Automation for Superconducting Quantum Chip
arXiv
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arXiv 2025年
作者: Zhao, Bo Li, Zhihang Yu, Xiaohan Yuan, Benzheng Zhang, Chaojie Gao, Yimin Wang, Weilong Mu, Qing Wang, Shuya Sun, Huihui Yang, Tian Zhang, Mengfan Han, Chuanbing Xu, Peng Wang, Wenqing Shan, Zheng Laboratory for Advanced Computing and Intelligence Engineering China
Electronic Design Automation (EDA) plays a crucial role in classical chip design and significantly influences the development of quantum chip design. However, traditional EDA tools cannot be directly applied to quantu... 详细信息
来源: 评论
Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects
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IEEE/CAA Journal of Automatica Sinica 2025年 第3期12卷 528-538页
作者: Xiaorui Li Xiaojuan Ban Haoran Qiao Zhaolin Yuan Hong-Ning Dai Chao Yao Yu Guo Mohammad S.Obaidat George Q.Huang the School of Intelligence Science and Technology University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering the Key Laboratory of Intelligent Bionic Unmanned Systems and the Institute of Materials Intelligent Technology Liaoning Academy of Materials IEEE the Department of Computer Science Hong Kong Baptist University the School of Computer and Communication Engineering Key Laboratory of Advanced Materials and Devices for Post-Moore Chips Ministry of Education University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing the School of Computer and Communication Engineering University of Science and Technology Beijing the King Abdullah Ⅱ School of Information Technology The University of Jordan the Department of Computational Intelligence the School of Computing SRM University the School of Engineering The Amity University The Hong Kong Polytechnic University
In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the complexity of such a harsh env... 详细信息
来源: 评论
EB-SNN: An Ensemble Binary Spiking Neural Network for Visual Recognition  27th
EB-SNN: An Ensemble Binary Spiking Neural Network for Visua...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Li, Xinjie Tang, Jianxiong Lai, Jianhuang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangzhou510555 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China
In recent years, spiking neural networks (SNNs) have gained significant attention in visual recognition tasks due to the low computational energy. However, most SNNs have a large number of parameters, which limits the... 详细信息
来源: 评论
Breaking Information Silos: Global Guided Task Prediction for Class-Incremental Learning  27th
Breaking Information Silos: Global Guided Task Prediction fo...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Hu, Chaoshun Ye, Biaohua Chen, Zixuan Lai, Jian-Huang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangzhou510555 China Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Guangzhou China
Class-incremental learning (CIL) aims to learn a series of tasks sequentially, each introducing several new categories. Because providing the task labels during inference can significantly increase accuracy, many appr... 详细信息
来源: 评论
Improving Multimodal Rumor Detection via Dynamic Graph Modeling  27th
Improving Multimodal Rumor Detection via Dynamic Graph Model...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Wu, Xinyu Hu, Xiaoxu Qin, Xugong Zhang, Peng Zeng, Gangyan Guo, Yu Zhao, Runbo Huang, Xinjian School of Cyber Science and Engineering Nanjing University of Science and Technology Nanjing China National Computer Network Response Technical Team/Coordination Center Technology Beijing China Laboratory for Advanced Computing and Intelligence Engineering Wuxi China
Due to the proliferation of rumors in social networks, automatic rumor detection has evoked increasing attention in recent years. Despite great progress achieved by exploiting multimodal features, existing works suffe... 详细信息
来源: 评论
Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification  27th
Confidence-Guided Feature Alignment for Cloth-Changing Pers...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Huang, Sirong Zheng, Huicheng School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China Guangdong Province Key Laboratory of Information Security Technology Guangzhou China
Much progress has been made in the field of person re-identification, but changes in clothing have hindered the practical application of long-term person re-identification. Cloth-changing person re-identification (CC-... 详细信息
来源: 评论
Reflectance Recovery Guided Learning of Illumination-Invariant Features for Person Re-Identification  18th
Reflectance Recovery Guided Learning of Illumination-Invari...
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18th Chinese Conference on Biometric Recognition, CCBR 2024
作者: Chen, Xianbiao Xie, Xiaohua School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Province Key Laboratory of Information Security Technology Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China
In real-world scenarios, the changes of illumination are noticeable and can significantly impact the performance of re-identification (ReID) algorithms. However, the existing person ReID methods predominantly concentr... 详细信息
来源: 评论
Prompt Customization for Continual Learning
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial intelligence 2025年 第5期6卷 1373-1385页
作者: Dai, Yong Hong, Xiaopeng Wang, Yabin Ma, Zhiheng Jiang, Dongmei Wang, Yaowei Shenzhen Polytechnic University School of Artificial Intelligence Shenzhen518055 China Peng Cheng Laboratory Shenzhen518055 China Harbin Institute of Technology Faculty of Computing Harbin150001 China Xi’an Jiaotong University School of Electronic and Information Engineering Xiaan710049 China Shenzhen University of Advanced Technology Shenzhen518071 China Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen518071 China Harbin Institute of Technology School of Computing Shenzhen518055 China
Contemporary continual learning approaches typically select prompts from a pool, which function as supplementary inputs to a pretrained model. However, this strategy is hindered by the inherent noise of its selection ... 详细信息
来源: 评论