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检索条件"机构=Big Data Technology and System Laboratory"
691 条 记 录,以下是481-490 订阅
排序:
NODLINK: An Online system for Fine-Grained APT Attack Detection and Investigation
arXiv
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arXiv 2023年
作者: Li, Shaofei Dong, Feng Xiao, Xusheng Wang, Haoyu Shao, Fei Chen, Jiedong Guo, Yao Chen, Xiangqun Li, Ding School of Computer Science Peking University China Arizona State University United States Case Western Reserve University United States Sangfor Technologies Inc. China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology China
Advanced Persistent Threats (APT) attacks have plagued modern enterprises, causing significant financial losses. To counter these attacks, researchers propose techniques that capture the complex and stealthy scenarios... 详细信息
来源: 评论
A dual-polarized zhe-shaped conformal patch antenna for 5G millimeter-wave applications  4
A dual-polarized zhe-shaped conformal patch antenna for 5G m...
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4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021
作者: Yang, Baifa Huang, Haixuan Feng, Botao Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Big Data and Internet Shenzhen Technology University Shenzhen518118 China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China
We propose a dual-polarized conformal Zhe-shaped patch antenna that is suitable for future millimeter wave (mmW) applications. The proposed antenna is composed of 3 different layers. A Zhe-shaped (喆) patch is printed... 详细信息
来源: 评论
Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt
arXiv
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arXiv 2022年
作者: Li, Jiangmeng Mo, Wenyi Qiang, Wenwen Su, Bing Zheng, Changwen Xiong, Hui Wen, Ji-Rong The University of Chinese Academy of Sciences Beijing China The Science & Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences Beijing China The Beijing Key Laboratory of Big Data Management and Analysis Methods Gaoling School of Artificial Intelligence Renmin University of China Beijing100872 China Hong Kong
Vision-language models are pre-trained by aligning image-text pairs in a common space to deal with open-set visual concepts. To boost the transferability of the pre-trained models, recent works adopt fixed or learnabl... 详细信息
来源: 评论
A Spectral Efficient Hybrid Precoding Algorithm for MmWave MIMO systems  8
A Spectral Efficient Hybrid Precoding Algorithm for MmWave M...
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8th International Conference on Identification, Information and Knowledge in the Internet of Things, IIKI 2019
作者: Li, Tingting Zhao, Feng Key Laboratory of Cognitive Radio and Information Processing Guilin University of Electronic Technology Guilin541004 China Guangxi Colleges Universities Key Laboratory of Complex System Optimization and Big Data Processing Yulin Normal University Yulin China
Millimeter-wave MIMO will use hybrid precoding to improve the spectral efficiency. In this paper, we propose a spectral efficient hybrid precoding algorithm. In order to maximize the projection of hybrid precoding mat... 详细信息
来源: 评论
Active legibility in multiagent reinforcement learning
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Artificial Intelligence 2025年 346卷
作者: Liu, Yanyu Pan, Yinghui Zeng, Yifeng Ma, Biyang Doshi, Prashant School of Automation Central South University No. 605 South Lushan Road Hunan Changsha410083 China School of Artificial Intelligence & National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Shenzhen China Department of Computer and Information Sciences Northumbria University Newcastle United Kingdom School of Computer Science Minnan Normal University Fujian Zhangzhou China Department of Computer Science University of Georgia AthensGA United States
A multiagent sequential decision problem has been seen in many critical applications including urban transportation, autonomous driving cars, military operations, etc. Its widely known solution, namely multiagent rein... 详细信息
来源: 评论
Neuromodulated Meta-Learning
arXiv
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arXiv 2024年
作者: Wang, Jingyao Guo, Huijie Qiang, Wenwen Li, Jiangmeng Zheng, Changwen Xiong, Hui Hua, Gang University of Chinese Academy of Sciences Beijing China National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Thrust of Artificial Intelligence Hong Kong University of Science and Technology Guangzhou China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Wormpex AI Research LLC BellevueWA98004 United States
Humans excel at adapting perceptions and actions to diverse environments, enabling efficient interaction with the external world. This adaptive capability relies on the biological nervous system (BNS), which activates... 详细信息
来源: 评论
Stvanet: A Spatio-Temporal Visual Attention Framework with Large Kernel Attention Mechanism for Citywide Traffic Dynamics Prediction
SSRN
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SSRN 2023年
作者: Yang, Hongtai Jiang, Junbo Zhao, Zhan Pan, Renbin School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Institute of System Science and Engineering Southwest Jiaotong University Chengdu611756 China Department of Urban Planning and Design The University of Hong Kong Hong Kong Special Administrative Region Hong Kong School of Business Administration Southwestern University of Finance and Economics Chengdu611130 China
Enhancing the efficiency and safety of the Intelligent Transportation system requires effective modeling and prediction of citywide traffic dynamics. Most studies employ convolutional neural networks (CNNs) with a 3D ... 详细信息
来源: 评论
A Unified Runoff Generation Scheme for Applicability Across Different Hydrometeorological Zones
SSRN
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SSRN 2024年
作者: Zhang, Qinuo Zhang, Ke Chao, Lijun Chen, Xinyu Wu, Nan The National Key Laboratory of Water Disaster Prevention Hohai University Jiangsu Nanjing210024 China Yangtze Institute for Conservation and Development Hohai University Jiangsu Nanjing210024 China College of Hydrology and Water Resources Hohai University Jiangsu Nanjing210024 China China Meteorological Administration Hydro-Meteorology Key Laboratory Hohai University Jiangsu Nanjing210024 China Key Laboratory of Water Big Data Technology of Ministry of Water Resources Hohai University Jiangsu Nanjing210024 China Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources Hohai University jiangsu Nanjing210024 China
Runoff generation in humid and arid regions are usually saturation-excess-driven and infiltration-excess-driven respectively, whereas semi-humid regions is confronted with complex nonlinear rainfall-runoff process inf... 详细信息
来源: 评论
ExpoNAS: Using Exposure-based Candidate Exclusion to Reduce NAS Space for Heterogeneous Pipeline of CNNs
ExpoNAS: Using Exposure-based Candidate Exclusion to Reduce ...
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International Conference on Parallel and Distributed systems (ICPADS)
作者: Huijuan Duan Danghui Wang Xingting Zhao Kuizhi Mei Jihe Wang School of Computer Science Northwestern Polytechnical University Xi'an China Engineering Research Center of Embedded System Integration Ministry of Education Northwestern Polytechnical University Xi'an China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Northwestern Polytechnical University Xi'an China
Efficiently deploying neural network models on heterogeneous edge systems faces unique challenges. Two major issues are underutilized pipelines caused by hardware heterogeneity and explosive growth of architecture sea...
来源: 评论
GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning  15th
GradSA: Gradient Sparsification and Accumulation for Communi...
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15th International Conference on Green, Pervasive, and Cloud Computing, GPC 2020
作者: Liu, Bo Jiang, Wenbin Zhao, Shaofeng Jin, Hai He, Bingsheng National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Huazhong University of Science and Technology Wuhan China Library Henan University of Economics and Law Zhengzhou China Department of Computer Science School of Computing National University of Singapore Singapore Singapore
Large-scale distributed deep learning is of great importance in various applications. For distributed training, the inter-node gradient communication often becomes the performance bottleneck. Gradient sparsification h... 详细信息
来源: 评论