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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
907 条 记 录,以下是521-530 订阅
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Two Birds With One Stone: Enhancing Communication and Sensing via Multi-Functional RIS
arXiv
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arXiv 2024年
作者: Ni, Wanli Wang, Wen Zheng, Ailing Wang, Peng You, Changsheng Eldar, Yonina C. Niyato, Dusit Schober, Robert The Department of Electronic Engineering Tsinghua University Beijing100084 China The Pervasive Communications Center Purple Mountain Laboratories Nanjing211111 China The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen518055 China The Faculty of Mathematics and Computer Science Weizmann Institute of Science Israel The College of Computing and Data Science Nanyang Technological University Singapore Erlangen91054 Germany
In this article, we propose new network architectures that integrate multi-functional reconfigurable intelligent surfaces (MF-RISs) into 6G networks to enhance both communication and sensing capabilities. Firstly, we ... 详细信息
来源: 评论
ICTNET at Trec 2019 Decision Track  28
ICTNET at Trec 2019 Decision Track
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28th Text REtrieval Conference, TREC 2019
作者: Cui, Wanqing Jiang, Yan Tao, Shuchang Guo, Hanzhang CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China
In this paper we report on our participation in the Trec 2019 Decision Track[1] which aims to provide a venue for research on retrieval methods that promote better decision making with search engines and develop new o... 详细信息
来源: 评论
LMP-GAN: Out-Of-Distribution Detection For Non-Control data Malware Attacks
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IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年 PP卷 PP页
作者: Wood, David Kapp, David Kebede, Temesgen Hirakawa, Keigo Wuhan University School of Computer Science China Wuhan University National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering China Zhongguancun Academy China Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing China Sun Yat-sen University School of Geography and Planning China Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates Chongqing University College of Computer Science China The University of Tokyo Japan RIKEN Center for Advanced Intelligence Project Japan Intelligent Science & Technology Academy Limited CASIC China iFlytek Company Ltd. National Engineering Research Center of Speech and Language Information Processing China Nanyang Technological University College of Computing & Data Science Singapore Henan Academy of Sciences Aerospace Information Research Institute China
Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection in particular is a semi-supervised anomaly detection technique where the detection method is trained only on the inlie... 详细信息
来源: 评论
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
arXiv
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arXiv 2021年
作者: Liu, Yiyi Wang, Yequan Sun, Aixin Meng, Xuying Li, Jing Guo, Jiafeng CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Beijing Academy of Artificial Intelligence Beijing China School of Computer Science and Engineering Nanyang Technological University Singapore Singapore Institute of Computing Technology Chinese Academy of Sciences Beijing China Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates
Sarcasm employs ambivalence, where one says something positive but actually means negative, and vice versa. The essence of sarcasm, which is also a sufficient and necessary condition, is the conflict between literal a...
来源: 评论
Label-consistency based graph neural networks for semi-supervised node classification
arXiv
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arXiv 2020年
作者: Xu, Bingbing Huang, Junjie Hou, Liang Shen, Huawei Gao, Jinhua Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China School of Computer and Control Engineering University of Chinese Academy of Sciences China
Graph neural networks (GNNs) achieve remarkable success in graph-based semi-supervised node classification, leveraging the information from neighboring nodes to improve the representation learning of target node. The ... 详细信息
来源: 评论
Exploration of the Influence on Training Deep Learning Models by Watermarked Image dataset
Exploration of the Influence on Training Deep Learning Model...
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IEEE International Conference on Big data and Cloud computing (BdCloud)
作者: Shiqin Liu Shiyuan Feng Jinxia Wu Wei Ren Weiqi Wang Wenwen Zheng School of Computer Science China University of Geosciences Wuhan China Key Laboratory of Network Assessment Technology CAS Chinese Academy of Sciences Beijing China Guizhou Provincial Key Laboratory of Public Big Data Guizhou University Guiyang China
Deep learning has achieved great success in various applications with the help of a large scale of datasets. As a result, sharing the valuable big data that can be applied to training deep learning models is of essent... 详细信息
来源: 评论
Snake net and balloon force with a neural network for detecting multiple phases
arXiv
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arXiv 2022年
作者: Sun, Xiaodong Yang, Huijiong Wu, Nan Scott, T.C. Zhang, Jie Zhang, Wanzhou College of Physics Taiyuan University of Technology Shanxi030024 China College of data science Taiyuan University of Technology Shanxi030024 China Department of Computing The Hong Kong Polytechnic University Hong Kong Institut für Physikalische Chemie RWTH Aachen University Aachen52056 Germany CAS Key Laboratory for Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China Hefei National Laboratory for Physical Sciences at the Microscale Department of Modern Physics University of Science and Technology of China Hefei230026 China
Unsupervised machine learning applied to the study of phase transitions is an ongoing and interesting research direction. The active contour model, also called the snake model, was initially proposed for target contou... 详细信息
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Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach
Deep Learning Strategies for Addressing Anomalous Exposure i...
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High Performance Big data and Intelligent Systems (HPBD&IS)
作者: Qi Zhou Kai Yang Zunwang Ke Gang Wang Yugui Zhang Yizhen Jia Fengcai Cao Junxiao Ma Changlin Liu Kaijie Zhang Min Wu School of Semiconductor Science and Technology South China Normal University GuangZhou China AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China CGNPC Uranium Industry Development Co. Ltd. Beijing China School of Software Xinjiang University Urumqi China School of Computing and Data Engineering NingboTech University Ningbo China School of Integrated Circuits University of Chinese Academy of Sciences Beijing China Zhongke Shangyi Health Technology (Beijing) Co. Ltd. Beijing China School of Information Beijing Forestry University Beijing China
In real-world scenarios, capturing scenes with excessive dynamic range often leads to the partial loss of highlight or dark area information due to irradiance variations and limitations in the capture capabilities of ...
来源: 评论
Larger Receptive Field and Context Information for Pose Estimation: Larger Gaussian Kernel
Larger Receptive Field and Context Information for Pose Esti...
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High Performance Big data and Intelligent Systems (HPBD&IS)
作者: Junxiao Ma Kai Yang Zunwang Ke Gang Wang Yugui Zhang Fengcai Cao Qi Zhou Yang Fei School of Information Beijing Forestry University Beijing China AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing China CGNPC Uranium Industry Development Co. Ltd. Beijing China School of Software Xinjiang University Urumqi China School of Computing and Data Engineering NingboTech University Ningbo China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China School of Integrated Circuits University of Chinese Academy of Sciences Beijing China Zhongke Shangyi Health Technology (Beijing) Co. Ltd. Beijing China School of Semiconductor Science and Technology South China Normal University GuangZhou China
The field of pose estimation has a wide range of application prospects in various industries in the current era. With the continuous development of deep learning techniques, the effects in the field of human pose esti...
来源: 评论
Malicious HTTPS Traffic Classification Algorithm Based on DCGAN_1D-CNN
Malicious HTTPS Traffic Classification Algorithm Based on DC...
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Telecommunications, Optics and Computer science (TOCS), IEEE Conference on
作者: Wen Luo Zhaohui Liu Rui Zhao Jianhua Chen Xin Deng School of Computer Science University of South China Hengyang China Chinese Academy of Sciences Key Laboratory of Network Assessment Technology CAS institute of Information Engineering Beijing China
Aiming at the problems of fast classification and unbalanced data classification of encrypted malicious traffic in the internet, a classification method of encrypted malicious based on DCGAN_1D-CNN model is ***-IDCNN ... 详细信息
来源: 评论