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检索条件"机构=Cas Key Lab of Network Data Science and Technology"
489 条 记 录,以下是371-380 订阅
排序:
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit networks
arXiv
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arXiv 2024年
作者: Gong, Cheng Chen, Yao Luo, Qiuyang Lu, Ye Li, Tao Zhang, Yuzhi Sun, Yufei Zhang, Le College of Software Nankai University China College of Computer Science Nankai University China National University of Singapore Singapore School of Information and Communication Engineering University of Electronic Science and Technology of China China HAIHE Lab of ITAI China Tianjin Key Laboratory of Network and Data Security Technology China Key Laboratory of Data and Intelligent System Security Ministry of Education
Multi-exit network is a promising architecture for efficient model inference by sharing backbone networks and weights among multiple exits. However, the gradient conflict of the shared weights results in sub-optimal a... 详细信息
来源: 评论
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention network
arXiv
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arXiv 2021年
作者: Fang, Yuchen Qin, Yanjun Luo, Haiyong Zhao, Fang Xu, Bingbing Wang, Chenxing Zeng, Liang School of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications China Research Center for Ubiquitous Computing Systems Institute of Computing Technology Chinese Academy of Sciences China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China Tsinghua University China
Traffic forecasting is crucial for public safety and resource optimization, yet is very challenging due to three aspects: i) current existing works mostly exploit intricate temporal patterns (e.g., the short-term thun... 详细信息
来源: 评论
Long-Distance Entanglement Purification for Quantum Communication
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Physical Review Letters 2021年 第1期126卷 010503-010503页
作者: Xiao-Min Hu Cen-Xiao Huang Yu-Bo Sheng Lan Zhou Bi-Heng Liu Yu Guo Chao Zhang Wen-Bo Xing Yun-Feng Huang Chuan-Feng Li Guang-Can Guo CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 People’s Republic of China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei 230026 People’s Republic of China Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 People’s Republic of China School of Science Nanjing University of Posts and Telecommunications Nanjing 210003 People’s Republic of China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 People’s Republic of China
High-quality long-distance entanglement is essential for both quantum communication and scalable quantum networks. Entanglement purification is to distill high-quality entanglement from low-quality entanglement in a n... 详细信息
来源: 评论
Roland: Robust In-band Parallel Communication for Magnetic MIMO Wireless Power Transfer System
Roland: Robust In-band Parallel Communication for Magnetic M...
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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: Wangqiu Zhou Hao Zhou Xiang Cui Xinyu Wang Xiaoyan Wang Zhi Liu LINKE Lab School of Computer Science and Technology University of Science and Technology of China CAS Key Laboratory of Wireless-Optical Communications University of Science and Technology of China Deqing Alpha Innovation Institute Huzhou China Graduate School of Science and Engineering Ibaraki University Ibaraki Japan Department of Computer and Network Engineering The University of Electro-Communications Tokyo Japan
In recent years, receiver (RX) feedback communication has attracted increasing attention to enhance the charging performance for magnetic resonant coupling (MRC) based wireless power transfer (WPT) systems. People pre...
来源: 评论
Self-Supervised Teaching and Learning of Representations on Graphs  23
Self-Supervised Teaching and Learning of Representations on ...
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2023 World Wide Web Conference, WWW 2023
作者: Wan, Liangtian Fu, Zhenqiang Sun, Lu Wang, Xianpeng Xu, Gang Yan, Xiaoran Xia, Feng Key Laboratory for Ubiquitous Network Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian China State Key Laboratory of Marine Resource Utilization in South China Sea School of Information and Communication Engineering Hainan University Haikou China State Key Laboratory of Millimeter Waves School of Information Science and Engineering Southeast University Nanjing China Research Center of Big Data Intelligence Research Institute of Artificial Intelligence Zhejiang Lab Hangzhou China School of Computing Technologies Rmit University Melbourne Australia
Recent years have witnessed significant advances in graph contrastive learning (GCL), while most GCL models use graph neural networks as encoders based on supervised learning. In this work, we propose a novel graph le... 详细信息
来源: 评论
Ads-Cnn: Adaptive dataflow Scheduling for Lightweight Cnn Accelerator on Fpgas
SSRN
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SSRN 2023年
作者: Wan, Yi Xie, Xianzhong Chen, Junfan Xie, Kunpeng Yi, Dezhi Lu, Ye Gai, Keke The College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Haiyunjiexun Technology Co. Ltd Chongqing China The College of Computer Science Nankai University Tianjin300350 China The College of Cyber Science Nankai University Tianjin300350 China Tianjin Key Laboratory of Network and Data Security Technology Tianjin China State Key Laboratory of Processors ICT CAS Beijing China School of Cyberspace Science and Technology BIT Beijing China
Lightweight convolutional neural networks (CNNs) enable lower inference latency and data traffic, which are suitable for deployment on resource-constrained edge devices such as field-programmable gate arrays (FPGAs). ... 详细信息
来源: 评论
Peer is Your Pillar: A data-unbalanced Conditional GANs for Few-shot Image Generation
arXiv
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arXiv 2023年
作者: Li, Ziqiang Wang, Chaoyue Rui, Xue Xue, Chao Leng, Jiaxu Li, Bin Big Data and Decision Lab University of Science and Technology of China China The University of Sydney Australia JD Explore Academic China School of computer science Chongqing University of Posts and Telecommunications China CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System China
Few-shot image generation aims to train generative models using a small number of training images. When there are few images available for training (e.g. 10 images), Learning From Scratch (LFS) methods often generate ... 详细信息
来源: 评论
Proposal of a free-space-to-chip pipeline for transporting single atoms
arXiv
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arXiv 2023年
作者: Liu, Aiping Liu, Jiawei Kang, Zhanfei Chen, Guang-Jie Xu, Xin-Biao Ren, Xifeng Guo, Guang-Can Wang, Qin Zou, Chang-Ling Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing210003 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China
A free-space-to-chip pipeline is proposed to efficiently transport single atoms from a magneto-optical trap to an on-chip evanescent field trap. Due to the reflection of the dipole laser on the chip surface, the conve... 详细信息
来源: 评论
Unifying and Improving Graph Convolutional Neural networks with Wavelet Denoising Filters  23
Unifying and Improving Graph Convolutional Neural Networks w...
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2023 World Wide Web Conference, WWW 2023
作者: Wan, Liangtian Li, Xiaona Han, Huijin Yan, Xiaoran Sun, Lu Ning, Zhaolong Xia, Feng Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China Research Center of Big Data Intelligence Research Institute of Artificial Intelligence Zhejiang Lab Hangzhou China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China School of Computing Technologies Rmit University Melbourne Australia
Graph convolutional neural network (GCN) is a powerful deep learning framework for network data. However, variants of graph neural architectures can lead to drastically different performance on different tasks. Model ... 详细信息
来源: 评论
Secure Deduplication Against Frequency Analysis Attacks
Secure Deduplication Against Frequency Analysis Attacks
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International Conference on Mobile Ad-hoc and Sensor networks, MSN
作者: Hang Chen Guanxiong Ha Yuchen Chen Haoyu Ma Chunfu Jia College of Cyber Science Nankai University Tianjin China Tianjin Key Laboratory of Network and Data Security Technology Tianjin China Zhejiang Lab Hangzhou China The School of Cyber Engineering Xidian University Xi’an China
Message-locked Encryption (MLE) is the most common approach used in encrypted deduplication systems. However, the systems based on MLE are vulnerable to frequency analysis attacks, because MLE encrypts the identical p... 详细信息
来源: 评论