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检索条件"机构=Data Engineering and Knowledge Engineering Key Laboratory"
11067 条 记 录,以下是531-540 订阅
排序:
Rethinking data-Free Quantization as a Zero-Sum Game
arXiv
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arXiv 2023年
作者: Qian, Biao Wang, Yang Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China
data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the real data, but generates the fake sample via a generator (G) by learning from full-precision network (P) instead. Ho... 详细信息
来源: 评论
News Recommendation with Multi-views Emotion Analysis  4
News Recommendation with Multi-views Emotion Analysis
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4th International Conference on Advanced Information Science and System, AISS 2022
作者: Yun, Han Deng, Xin Du, Yulu Key Laboratory of Data Engineering and Visual Computing Chongqing University of Posts and Telecommunications China
News recommendation aiming to find attractive news for users has been received many attentions in recent years. Existing news recommendation methods mainly focus on modeling user preference based on the interaction be... 详细信息
来源: 评论
Adaptive data-Free Quantization
arXiv
收藏 引用
arXiv 2023年
作者: Qian, Biao Wang, Yang Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China
data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the original data, but generates the fake sample via a generator (G) by learning from full-precision network (P), which,... 详细信息
来源: 评论
Research on the detection and analysis of weak signals with low SNR based on the Welch algorithm  24
Research on the detection and analysis of weak signals with ...
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2nd International Conference on Communication Networks and Machine Learning, CNML 2024
作者: Wu, Bin Zhang, Wanqing Zhang, Jun Yu, Jing Huangfu, Taoyu Hebei Key Laboratory of Marine Perception Network and Data Processing School of Computer and Communication Engineering Northeastern University at Qinhuangdao Hebei Qinhuangdao China Southeast University Jiangsu Nanjing China
Submarines are vital for military defense and national security in strategic communication systems. Power Spectral Density (PSD) characterizes signal spectrum frequency dependence and is crucial for analyzing broadban... 详细信息
来源: 评论
Security Performance Analysis for MIMO Systems: From Artificial Noise's Power and Dimension Perspective
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IEEE Transactions on Vehicular Technology 2025年 第6期74卷 9985-9989页
作者: Xu, Panpan Li, Zhenling Li, Chunguo Tan, Weijie Guizhou University School of Mathematics and Statistics Guiyang550025 China Southeast University School of Information Science and Engineering Nanjing210096 China Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China
This paper analyzes the influence of power and dimension of artificial noise (AN) on security performance of multiple-input multiple-output (MIMO) system with multiple randomly located eavesdroppers. We derive the clo... 详细信息
来源: 评论
Using Depth-Enhanced Spatial Transformation for Student Gaze Target Estimation in Dual-View Classroom Images
Using Depth-Enhanced Spatial Transformation for Student Gaze...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Miao, Haonan Zhao, Peizheng Sun, Yuqi Nan, Fang Zhang, Xiaolong Wu, Yaqiang Tian, Feng School of Computer Science and Technology Xi'an Jiaotong University Xi'an710049 China Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an710049 China School of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou215123 China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University Xi'an710049 China
Dual-view gaze target estimation in classroom environments has not been thoroughly explored. Existing methods lack consideration of depth information, primarily focusing on 2D image information and neglecting the late... 详细信息
来源: 评论
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integ...
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International Conference on data engineering
作者: Chenyang Zhang Feng Zhang Kuangyu Chen Mingjun Chen Bingsheng He Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China School of Computing National University of Singapore
With the development of the architectures and the growth of AIoT application requirements, data processing on edge has become popular. Neural network inference is widely employed for data analytics on edge devices. Th...
来源: 评论
Internet of Things Intrusion Detection System Based on Convolutional Neural Network
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Computers, Materials & Continua 2023年 第4期75卷 2119-2135页
作者: Jie Yin Yuxuan Shi Wen Deng Chang Yin Tiannan Wang Yuchen Song Tianyao Li Yicheng Li Department of Computer Information and Cyber Security Jiangsu Police InstituteNanjingChina Engineering Research Center of Electronic Data Forensics Analysis NanjingChina Key Laboratory of Digital Forensics Department of Public Security of Jiangsu ProvinceNanjingChina
In recent years, the Internet of Things (IoT) technology has developedby leaps and bounds. However, the large and heterogeneous networkstructure of IoT brings high management costs. In particular, the low costof IoT d... 详细信息
来源: 评论
Unsupervised Granular-Ball Partitioning Algorithm Based on KL Divergence  11th
Unsupervised Granular-Ball Partitioning Algorithm Based on ...
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11th International Joint Conference on Rough Sets, IJCRS 2025
作者: Xu, Xiaodong Cheng, Dongdong Huang, Jinlong Zhang, Sulan Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and Telecommunications Chongqing400065 China College of Big Data and Intelligent Engineering Yangtze Normal University Chongqing408100 China
Granular-ball computing is an important model developed in the field of granular computing in recent years. This method uses granular-balls to represent and cover the sample space, and learns based on granular balls. ... 详细信息
来源: 评论
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification
Decomposition-based Multi-objective Genetic Programming for ...
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2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Zhang, Tuo Bi, Ying Liang, Jing Xue, Bing Zhang, Mengjie School of Electrical and Information Engineering Zhengzhou University China State Key Laboratory of Intelligent Agricultural Power Equipment School of Electrical and Information Engineering Zhengzhou University Luoyang China School of Electrical and Information Engineering Zhengzhou University School of Electrical Engineering and Automation Henan Institute of Technology State Key Laboratory of Intelligent Agricultural Power Equipment China School of Engineering and Computer Science Centre for Data Science and Artificial Intelligence Victoria University of Wellington New Zealand
Image classification is challenging due to the high dimensionality and large variations of the image data. As an effective method in image classification, feature learning can be considered a multiobjective problem of... 详细信息
来源: 评论