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检索条件"机构=Computer Engineering and Networks Laboratory"
2842 条 记 录,以下是301-310 订阅
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Source Camera Device Identification Combining Sensor Intrinsic Features and Tag
Source Camera Device Identification Combining Sensor Intrins...
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International Conference on Networking and Network Applications (NaNA)
作者: Hui Tian Haibao Chen Yuyan Zhao Pinchang Zhang Yan Xu Yangyang Liu School of Computer Science and Technology Anhui University Hefei China School of Computer and Information Engineering Chuzhou University Chuzhou China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Integrated Services Networks (Xidian University) Xi’an China School of Computer Science and Technology Xidian University Xi’an China
Source camera identification method is crucial in digital image forensics for determining the authentic source of an image. In this paper, we propose a new source camera identification method by combining the intrinsi... 详细信息
来源: 评论
Split Fine-Tuning for Large Language Models in Wireless networks
arXiv
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arXiv 2025年
作者: Zhang, Songge Cheng, Guoliang Huang, Xinyu Li, Zuguang Wu, Wen Song, Lingyang Shen, Xuemin School of Electronic and Computer Engineering Peking University Shenzhen518000 China Frontier Research Center Pengcheng Laboratory Shenzhen518055 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China Department of Electrical and Computer Engineering University of Waterloo WaterlooN2L 3G1 Canada
Fine-tuning is the process of adapting the pre-trained large language models (LLMs) for downstream tasks. Due to substantial parameters, fine-tuning LLMs on mobile devices demands considerable memory resources, and su... 详细信息
来源: 评论
An Adaptive Service Function Chains Mapping With Multi-Task Deep Reinforcement Learning
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IEEE Transactions on Network Science and engineering 2025年
作者: Wei, Wenting Wang, Qingyi Gu, Huaxi Zheng, Danyang Zhang, Ning Wu, Celimuge Xidian University State Key Laboratory of Integrated Service Networks Xi'an710071 China Southwest Jiaotong University School of Computing and Artificial Intelligence China University of Windsor Department of Electrical and Computer Engineering Canada University of Electro-Communications Meta-Networking Research Center Japan
Network function virtualization (NFV) facilitates different virtual network functions (VNF) to be dynamically chained in sequence to offer new services in a flexible, scalable, and cost-effective manner. Recent years ... 详细信息
来源: 评论
An Effective CU Depth Decision Method for HEVC Using Machine Learning
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computer Systems Science & engineering 2021年 第11期39卷 275-286页
作者: Xuan Sun Pengyu Liu Xiaowei Jia Kebin Jia Shanji Chen Yueying Wu Beijing University of Technology Beijing100124China Beijing Laboratory of Advanced Information Networks Beijing100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124China Department of Computer Science University of PittsburghPittsburgh15260USA School of Physics and Electronic Information Engineering Qinghai Nationalities University810007QinghaiChina
This paper presents an effective machine learning-based depth selection algorithm for CTU(Coding Tree Unit)in HEVC(High Efficiency Video Coding).Existing machine learning methods are limited in their ability in handli... 详细信息
来源: 评论
A New Design of RIS-Aided Hybrid NOMA Offloading in Wireless Powered MEC networks
A New Design of RIS-Aided Hybrid NOMA Offloading in Wireless...
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IEEE Conference on Vehicular Technology (VTC)
作者: Lu Lv Hao Luo Long Yang Zhiguo Ding Arumugam Nallanathan Naofal Al-Dhahir Jian Chen State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAE School of Electronic Engineering and Computer Science Queen Mary University of London UK Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson TX USA
We investigate a reconfigurable intelligent surface (RIS)-aided wireless powered mobile edge computing (MEC) network, where a new RIS-aided hybrid non-orthogonal multiple access (NOMA) offloading scheme is proposed to...
来源: 评论
Experimental Demonstration of 16D Voronoi Constellation with Two-Level Coding over 50km Four-Core Fiber
arXiv
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arXiv 2024年
作者: Zhao, Can Chen, Bin Cai, Jiaqi Liang, Zhiwei Lei, Yi Xiong, Junjie Ma, Lin Hu, Daohui Sun, Lin Shen, Gangxiang School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Electronic and Information Engineering Soochow University Suzhou China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China
A 16-dimensional Voronoi constellation concatenated with multilevel coding is experimentally demonstrated over a 50 km four-core fiber transmission system. The proposed scheme reduces the required launch power by 6 dB... 详细信息
来源: 评论
Parallel chaotic sources based on microcombs
Parallel chaotic sources based on microcombs
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2023 Conference on Lasers and Electro-Optics, CLEO 2023
作者: Shen, Bitao Shu, Haowen Xie, Weiqiang Chen, Ruixuan Liu, Zhi Zhang, Xuguang Wang, Yimeng Zhang, Yunhao Cheng, Buwen Yu, Shaohua Bowers, John E. Chang, Lin Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China
Massively parallel optical chaotic sources with large bandwidth are demonstrated based on chaotic microcombs in the AlGaAsOI platform. 30-channel parallel random bit generation with 30 Gbit/s per channel is realized b... 详细信息
来源: 评论
A SUPERVISED INFORMATION ENHANCED MULTI-GRANULARITY CONTRASTIVE LEARNING FRAMEWORK FOR EEG BASED EMOTION RECOGNITION
arXiv
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arXiv 2024年
作者: Li, Xiang Song, Jian Zhao, Zhigang Wang, Chunxiao Song, Dawei Hu, Bin Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China Institute of Engineering Medicine Beijing Institute of Technology Beijing China
This study introduces a novel Supervised Info-enhanced Contrastive Learning framework for EEG based Emotion Recognition (SI-CLEER). SI-CLEER employs multi-granularity contrastive learning to create robust EEG contextu... 详细信息
来源: 评论
A novel and highly stable 840 MHz repetition rate femtosecond fiber laser
A novel and highly stable 840 MHz repetition rate femtosecon...
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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022
作者: Yang, Ruoao Zhao, Minghe Jin, Xingang Li, Qian Chen, Zhangyuan Wang, Aimin Zhang, Zhigang State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Peking University Beijing100871 China School of Electronic and Computer Engineering Peking University Shenzhen518055 China Jiaxing Xurui Electronics Tech Co Ltd Jiaxing314001 China
We demonstrate a novel and highly stable femtosecond fiber laser at a repetition rate of 840 MHz. Because the laser components are bonded on a silica glass, the repetition rate of the free running laser drifts within ...
来源: 评论
A novel and highly stable 840 MHz repetition rate femtosecond fiber laser
A novel and highly stable 840 MHz repetition rate femtosecon...
收藏 引用
2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022
作者: Yang, Ruoao Zhao, Minghe Jin, Xingang Li, Qian Chen, Zhangyuan Wang, Aimin Zhang, Zhigang State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Peking University Beijing100871 China School of Electronic and Computer Engineering Peking University Shenzhen518055 China Jiaxing Xurui Electronics Tech Co Ltd Jiaxing314001 China
We demonstrate a novel and highly stable femtosecond fiber laser at a repetition rate of 840 MHz. Because the laser components are bonded on a silica glass, the repetition rate of the free running laser drifts within ... 详细信息
来源: 评论