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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education"
3260 条 记 录,以下是291-300 订阅
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Multivariate Time Series Co-evolution Shapelet Learning Method  6
Multivariate Time Series Co-evolution Shapelet Learning Meth...
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6th International Conference on Machine Learning and Natural Language Processing, MLNLP 2023
作者: Wang, Ling Chu, Zhongkun Liu, Wei School of Automation and Electrical Engineering University of Science and Technology of Beijing Key Laboratory of Knowledge Automation for Industrial Process Ministry of Education Beijing China Shunde Innovation School University of Science and Technology Beijing Guangdong528399 China
Shapelets are discriminative subsequences in time series that effectively capture local shape characteristics. However, the time complexity of the existing shapelet extraction process remains high. To address this iss... 详细信息
来源: 评论
Unsupervised Statistical Text Simplification
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IEEE Transactions on knowledge and data engineering 2021年 第4期33卷 1802-1806页
作者: Qiang, Jipeng Wu, Xindong Department of Computer Science Yangzhou University Yangzhou Jiangsu225127 China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education Hefei Anhui10084 China
Most recent approaches for Text Simplification (TS) have drawn on insights from machine translation to learn simplification rewrites from the monolingual parallel corpus of complex and simple sentences, yet their effe... 详细信息
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Design and implementation of fire alarm module for smart home
Design and implementation of fire alarm module for smart hom...
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2023 International Conference on Electronic Information engineering and data Processing, EIEDP 2023
作者: Liu, Xiaohong Yan, Kai College of Big Data and Intelligent Engineering Southwest Forestry University Kunming650224 China Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan430081 China
With the continuous development of information technology, artificial intelligence fire automatic alarm system is gradually developed. However, the current system is based on a single sensor for identification, when a... 详细信息
来源: 评论
Hierarchical Flocking Based on a Strictly Metric-Free Model with Restricted Visual Field  5th
Hierarchical Flocking Based on a Strictly Metric-Free Mode...
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5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021
作者: Zhang, Lingwei Sun, Wenwei Jia, Yongnan Zhang, Weilin Han, Jiali Li, Qing School of Automation and Electrical Engineering Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education University of Science and Technology Beijing Beijing100083 China Shunde Graduate School University of Science and Technology Beijing528399 China
The biological swarm model based on the limited visual field is necessary to be discussed due to the experimental evidence that the vision of a single individual in biological swarms cannot fully cover the environment... 详细信息
来源: 评论
TraSculptor: Visual Analytics for Enhanced Decision-Making in Road Traffic Planning
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IEEE Transactions on Visualization and Computer Graphics 2025年 PP卷 PP页
作者: Deng, Zikun Liu, Yuanbang Zhu, Mingrui Xiang, Da Yu, Haiyue Su, Zicheng Lu, Qinglong Schreck, Tobias Cai, Yi South China University of Technology School of Software Engineering China South China University of Technology Ministry of Education Key Laboratory of Big Data and Intelligent Robot China Tongji University Key Laboratory of Road and Traffic Engineering of the Ministry of Education China National University of Singapore Department of Civil and Environmental Engineering Singapore Graz University of Technology Austria
The design of urban road networks significantly influences traffic conditions, underscoring the importance of informed traffic planning. Traffic planning experts rely on specialized platforms to simulate traffic syste... 详细信息
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Multi-Hop Attention Diffusion Graph Neural Networks For Multimodal Fake News Detection
Multi-Hop Attention Diffusion Graph Neural Networks For Mult...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Huang, Zhongqiang Lu, Dongli Sha, Ying Key Laboratory of Smart Farming for Agricultural Animals Wuhan China Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Wuhan China Hubei Engineering Technology Research Center of Agricultural Big Data Wuhan China College of Informatics Huazhong Agricultural University Wuhan China
Fake news often spreads rapidly on social media in various forms, exposing users to a large amount of misinformation and disinformation. Recently, promising results have been achieved in fake news detection. However, ... 详细信息
来源: 评论
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale dataset  41
Diving into Underwater: Segment Anything Model Guided Underw...
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41st International Conference on Machine Learning, ICML 2024
作者: Lian, Shijie Zhang, Ziyi Li, Hua Li, Wenjie Yang, Laurence Tianruo Kwong, Sam Cong, Runmin Hainan University China China Ministry of Education China Huazhong University of Science and Technology China St. Francis Xavier University Canada LIngnan University School of Data Science Hong Kong Shandong University School of Control Science and Engineering China Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China
With the breakthrough of large models, Segment Anything Model (SAM) and its extensions have been attempted to apply in diverse tasks of computer vision. Underwater salient instance segmentation is a foundational and v... 详细信息
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Migration: An Efficient Explorer Operator to Guide Swarm Evolution
Migration: An Efficient Explorer Operator to Guide Swarm Evo...
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Medical Artificial Intelligence (MedAI), IEEE International Conference on
作者: Xiaosong Han Chengyang Zhou Yanchun Liang Renchu Guan Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Jilin University Changchun China Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Zhuhai Laboratory of Key Laboratory for Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Zhuhai College of Science and Technology Zhuhai China
Particle Swarm Optimization with Migration (MPSO) is proposed to solve the issue that PSO will encounter unbearable time cost problems when dealing with High-dimension, Expensive and Black-box objective function tasks...
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
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss  38
Semi-supervised Multi-label Learning with Balanced Binary An...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Li, Ximing Liang, Silong Li, Changchun Wang, Pengfei Gu, Fangming College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Computer Network Information Center Chinese Academy of Sciences China University of Chinese Academy of Sciences Chinese Academy of Sciences China
Semi-supervised multi-label learning (SSMLL) refers to inducing classifiers using a small number of samples with multiple labels and many unlabeled samples. The prevalent solution of SSMLL involves forming pseudo-labe...
来源: 评论