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检索条件"机构=Key Lab of Network Data Science and Technology"
2794 条 记 录,以下是281-290 订阅
排序:
Demand Response Scheme: Achieving Sustainability in Distributed data Processing  9
Demand Response Scheme: Achieving Sustainability in Distribu...
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9th IEEE International Conference on data science in Cyberspace, DSC 2024
作者: Zhai, Xueying Peng, Yunfeng Guo, Xiuping Zhang, Liang Zhang, Wei University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Beijing University of Posts and Telecommunications School of Economics and Management Beijing China Guizhou Institute of Technology Guizhou Key Laboratory of Electric Power Big Data Guizhou China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China
The rapid development of Internet of Things (IoT) technology has driven the intelligent transformation of various industries, including manufacturing, agriculture, and healthcare, etc., significantly enhancing their m... 详细信息
来源: 评论
LDVNet: Lightweight and Detail-Aware Vision network for Image Recognition Tasks in Resource-Constrained Environments  29
LDVNet: Lightweight and Detail-Aware Vision Network for Imag...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Liu, Yuchen Liang, Hu Qiu, Ran Zhao, Shengrong Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Qilu University of Technology Shandong Academy of Sciences Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China
In many underwater application scenarios, recognition tasks need to be executed promptly on computationally limited platforms. However, models designed for this field often exhibit spatial locality, and existing works... 详细信息
来源: 评论
Dynamic Offloading Control for Waste Sorting Based on Deep Q-network  24th
Dynamic Offloading Control for Waste Sorting Based on Deep...
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24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
作者: Wang, Jing Wang, Xiaoyang Guo, Jianxiong Tang, Zhiqing Ding, Xingjian Wang, Tian Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China Guangdong Key Lab of AI and Multi-modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai China Faculty of Information Technology Beijing University of Technology Beijing China
With the increasing concern for environmental protection and resource optimization, efficient waste sorting has become a serious challenge today. In this paper, we propose a new offloading control problem that aims to... 详细信息
来源: 评论
PM2F2N: Patient Multi-view Multi-modal Feature Fusion networks for Clinical Outcome Prediction
PM2F2N: Patient Multi-view Multi-modal Feature Fusion Networ...
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2022 Findings of the Association for Computational Linguistics: EMNLP 2022
作者: Zhang, Ying Zhou, Baohang Song, Kehui Sui, Xuhui Zhao, Guoqing Jiang, Ning Yuan, Xiaojie College of Computer Science Nankai University Tianjin China Tianjin Key Laboratory of Network and Data Security Technology Tianjin China Mashang Consumer Finanace Co Ltd
Clinical outcome prediction is critical to the condition prediction of patients and management of hospital capacities. There are two kinds of medical data, including time series signals recorded by various devices and... 详细信息
来源: 评论
GAF-GAN: Gated Attention Feature Fusion Image Inpainting network Based on Generative Adversarial network  29
GAF-GAN: Gated Attention Feature Fusion Image Inpainting Net...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Qiu, Ran Liang, Hu Liu, Yuchen Zhao, Shengrong Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Qilu University of Technology Shandong Academy of Sciences Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China
Image inpainting, which aims to reconstruct reasonably clear and realistic images from known pixel information, is one of the core problems in computer vision. However, due to the complexity and variability of the und... 详细信息
来源: 评论
Distributed Routing and data Scheduling in IPNs With GNN-Based Multi-Agent DRL
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IEEE Internet of Things Journal 2025年
作者: Zhou, Xixuan Xu, Ruoyu Tian, Xiaojian Zhang, Yueyue Liang, Yu Chen, Xiaoliang Zhu, Zuqing University of Science and Technology of China School of Information Science and Technology Anhui Hefei230027 China Eastview Secondary School BarrieON Canada Shanghai Satellite Network Research Institute Shanghai Key Lab of Satellite Network Shanghai200120 China
As deep space exploration missions grow in complexity, efficient data transfer in interplanetary networks (IPNs) becomes paramount. However, the vast distances, limited bandwidth, and dynamic nature of IPNs pose signi... 详细信息
来源: 评论
FedFLD: Heterogeneous Federated Learning via Forget-Less Distillation
FedFLD: Heterogeneous Federated Learning via Forget-Less Dis...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Xiaoyang Yi Jian Zhang Jing Chen Yuru Bao Lingkai Xing College of Cyber Science Nankai University China Tianjin Key Laboratory of Network and Data Security Technology Tianjin China College of Computer Science Nankai University China
Federated learning, as a distributed machine learning paradigm, enhances privacy protection but faces the challenge of heterogeneity. data-free knowledge distillation (DFKD) methods attempt to overcome this challenge ... 详细信息
来源: 评论
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition
A Span-based Multimodal Variational Autoencoder for Semi-sup...
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Zhou, Baohang Zhang, Ying Song, Kehui Guo, Wenya Zhao, Guoqing Wang, Hongbin Yuan, Xiaojie College of Computer Science Nankai University Tianjin China Tianjin Key Laboratory of Network and Data Security Technology Tianjin China Mashang Consumer Finanace Co Ltd
Multimodal named entity recognition (MNER) on social media is a challenging task which aims to extract named entities in free text and incorporate images to classify them into user-defined types. The existing semi-sup... 详细信息
来源: 评论
Vision-Language Collaboration Enhancement for Unbiased Scene Graph Generation  17
Vision-Language Collaboration Enhancement for Unbiased Scene...
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17th IEEE International Conference on Signal Processing, ICSP 2024
作者: Wang, Chenshu Wu, Jiying Du, Cong An, Gaoyun Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China State Administration for Market Regulation Competition Policy and Evaluation Center Beijing China China Cybersecurity Review Certification And Market Regulation Big Data Center Beijing China
Scene Graph Generation (SGG) aims to detail the visual contents of images and present them as a compact summary graph. Although several approaches have made great progress in SGG, it's still faced with the long-ta... 详细信息
来源: 评论
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation  38
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmenta...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Han, Boyu Xu, Qianqian Yang, Zhiyong Bao, Shilong Wen, Peisong Jiang, Yangbangyan Huang, Qingming Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Peng Cheng Laboratory China Key Laboratory of Big Data Mining and Knowledge Management CAS China
The Area Under the ROC Curve (AUC) is a well-known metric for evaluating instance-level long-tail learning problems. In the past two decades, many AUC optimization methods have been proposed to improve model performan...
来源: 评论