咨询与建议

限定检索结果

文献类型

  • 163 篇 期刊文献
  • 96 篇 会议

馆藏范围

  • 259 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 194 篇 工学
    • 152 篇 计算机科学与技术...
    • 130 篇 软件工程
    • 62 篇 信息与通信工程
    • 23 篇 电气工程
    • 23 篇 生物工程
    • 18 篇 电子科学与技术(可...
    • 18 篇 控制科学与工程
    • 11 篇 机械工程
    • 11 篇 光学工程
    • 10 篇 生物医学工程(可授...
    • 10 篇 网络空间安全
    • 7 篇 化学工程与技术
    • 5 篇 仪器科学与技术
    • 5 篇 土木工程
    • 5 篇 安全科学与工程
    • 4 篇 动力工程及工程热...
  • 83 篇 理学
    • 45 篇 数学
    • 26 篇 生物学
    • 17 篇 物理学
    • 15 篇 统计学(可授理学、...
    • 9 篇 化学
    • 5 篇 系统科学
  • 53 篇 管理学
    • 31 篇 图书情报与档案管...
    • 24 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 13 篇 法学
    • 7 篇 社会学
    • 6 篇 法学
  • 9 篇 医学
    • 7 篇 基础医学(可授医学...
    • 7 篇 临床医学
  • 5 篇 经济学
    • 5 篇 应用经济学
  • 3 篇 农学
  • 1 篇 军事学

主题

  • 11 篇 semantics
  • 8 篇 deep neural netw...
  • 8 篇 convolution
  • 7 篇 decoding
  • 7 篇 training
  • 6 篇 object detection
  • 6 篇 feature extracti...
  • 5 篇 cameras
  • 5 篇 optimization
  • 5 篇 machine learning
  • 5 篇 steganography
  • 5 篇 federated learni...
  • 4 篇 image enhancemen...
  • 4 篇 deep learning
  • 4 篇 contrastive lear...
  • 4 篇 encoding
  • 4 篇 deep reinforceme...
  • 3 篇 gamma-gamma chan...
  • 3 篇 task analysis
  • 3 篇 clustering algor...

机构

  • 39 篇 school of data a...
  • 24 篇 key laboratory o...
  • 22 篇 guangdong key la...
  • 22 篇 school of comput...
  • 18 篇 guangdong provin...
  • 17 篇 peng cheng labor...
  • 17 篇 school of cyber ...
  • 16 篇 school of comput...
  • 15 篇 hubei key labora...
  • 15 篇 national enginee...
  • 15 篇 hubei engineerin...
  • 15 篇 school of electr...
  • 15 篇 school of inform...
  • 14 篇 services computi...
  • 14 篇 guangdong key la...
  • 13 篇 cluster and grid...
  • 10 篇 school of softwa...
  • 9 篇 key lab. of inte...
  • 9 篇 pazhou lab
  • 9 篇 school of data a...

作者

  • 17 篇 zheng wei-shi
  • 13 篇 jin hai
  • 11 篇 hu shengshan
  • 11 篇 zhang leo yu
  • 10 篇 xie xiaohua
  • 9 篇 kang xiangui
  • 9 篇 xiao ma
  • 8 篇 wan wei
  • 8 篇 wang chang-dong
  • 8 篇 ma xiao
  • 7 篇 lai jian-huang
  • 7 篇 luo weiqi
  • 7 篇 zhou ziqi
  • 7 篇 cao xiaochun
  • 7 篇 xu qianqian
  • 6 篇 fu shenghao
  • 6 篇 huang jiwu
  • 6 篇 xiaohua xie
  • 6 篇 huang qingming
  • 6 篇 yang qize

语言

  • 220 篇 英文
  • 38 篇 其他
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 中文
检索条件"机构=School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology"
259 条 记 录,以下是141-150 订阅
排序:
Reinforcement Learning Aided Network Architecture Generation for JPEG Image Steganalysis  20
Reinforcement Learning Aided Network Architecture Generation...
收藏 引用
8th ACM Workshop on information Hiding and Multimedia security, IH and MMSec 2020
作者: Yang, Jianhua Lu, Beiling Xiao, Liang Kang, Xiangui Shi, Yun-Qing Guangdong Key Lab of Information Security Sun Yat-Sen University Guangzhou Guangdong China Department of Communication Engineering Xiamen University Xiamen Fujian China School of Data and Computer Science Sun Yat-Sen University Guangzhou Guangdong China Department of ECE New Jersey Institute of Technology NewarkNJ United States
The architectures of convolutional neural networks used in steganalysis have been designed heuristically. In this paper, an automatic Network Architecture Generation algorithm based on reinforcement learning for JPEG ... 详细信息
来源: 评论
data-Efficient Federated Semi-Supervised Learning Framework Via Pseudo Supervision Refinement Strategy for Lung Tumor Segmentation
SSRN
收藏 引用
SSRN 2024年
作者: Shi, Zhenwei Li, Weixing Pan, Xipeng Zhang, Zhen Wu, Guangyao Ye, Guanchao Wee, Leonard Dekker, Andre Han, Chu Shi, Lei Liu, Zaiyi Liu, Zhenbing School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Department of Radiology Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences Southern Medical University Guangzhou510080 China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangzhou510080 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Department of Radiology Huazhong University of Science and Technology Tongji Medical College Union Hospital Hubei Wuhan430021 China Clinical Data Science Faculty of Health Medicine Life Sciences Maastricht University Maastricht6229 ET Netherlands GROW School of Oncology and Reproduction Maastricht University Medical Centre+ Maastricht6229 ET Netherlands Guangdong Provincial People's Hospital China
Background and Objective: Accurate lung tumor segmentation is crucial for early clinical diagnosis and subsequent treatment planning for patients. Conducting centralized training to enhance model performance is imprac... 详细信息
来源: 评论
data-Efficient Federated Semi-Supervised Learning Framework Via Pseudo Supervision Refinement Strategy for Lung Tumor Segmentation
SSRN
收藏 引用
SSRN 2024年
作者: Shi, Zhenwei Li, Weixing Pan, Xipeng Zhang, Zhen Wu, Guangyao Ye, Guanchao Wee, Leonard Andre, Dekker Han, Chu Shi, Lei Liu, Zaiyi Liu, Zhenbing School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Department of Radiology Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences Southern Medical University Guangzhou510080 China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangzhou510080 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Department of Radiology Huazhong University of Science and Technology Tongji Medical College Union Hospital Hubei Wuhan430021 China Clinical Data Science Faculty of Health Medicine Life Sciences Maastricht University Maastricht6229 ET Netherlands GROW School of Oncology and Reproduction Maastricht University Medical Centre+ Maastricht6229 ET Netherlands Guangdong Provincial People's Hospital China
Accurate lung tumor segmentation is crucial for early clinical diagnosis and subsequent treatment planning for patients. Centralized model training faces privacy constraints, although federated learning offers a promi... 详细信息
来源: 评论
G3SR: Global Graph Guided Session-based Recommendation
arXiv
收藏 引用
arXiv 2022年
作者: Deng, Zhi-Hong Wang, Chang-Dong Huang, Ling Lai, Jian-Huang Yu, Philip S. School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Information Security Technology Guangzhou China College of Mathematics and Informatics South China Agricultural University Guangzhou China Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application China University of Illinois at Chicago ChicagoIL United States
Session-based recommendation tries to make use of anonymous session data to deliver high-quality recommendation under the condition that user-profiles and the complete historical behavioral data of a target user are u... 详细信息
来源: 评论
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud
arXiv
收藏 引用
arXiv 2022年
作者: Xu, Fei Xu, Jianian Chen, Jiabin Chen, Li Shang, Ruitao Zhou, Zhi Liu, Fangming The Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology East China Normal University 3663 N. Zhongshan Road Shanghai200062 China The School of Computing and Informatics University of Louisiana at Lafayette 301 East Lewis Street LafayetteLA70504 United States The Guangdong Key Laboratory of Big Data Analysis and Processing School of Computer Science and Engineering Sun Yat-sen University 132 E. Waihuan Road Guangzhou510006 China The National Engineering Research Center for Big Data Technology and System The Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology 1037 Luoyu Road Wuhan430074 China
GPUs are essential to accelerating the latency-sensitive deep neural network (DNN) inference workloads in cloud datacenters. To fully utilize GPU resources, spatial sharing of GPUs among co-located DNN inference workl... 详细信息
来源: 评论
Doubly-Recursive Block Markov Superposition Transmission: A Low-Complexity and Flexible Coding Scheme
Doubly-Recursive Block Markov Superposition Transmission: A ...
收藏 引用
作者: Zhao, Shancheng Ma, Xiao Huang, Qin Bai, Baoming College of Information Science and Technology Jinan University Guangzhou510632 China Guangdong Key Laboratory of Data Security and Privacy Preserving Guangzhou510632 China School of Data and Computer Science Sun Yat-sen University Guangzhou510275 China School of Electronic and Information Engineering Beihang University Beijing100083 China State Key Laboratory of ISN Xidian University Xi'an710071 China
In this paper, we introduce a novel method, called doubly-recursive block Markov superposition transmission (DrBMST), to construct high-performance spatially coupled codes. An important characteristic of DrBMST codes ... 详细信息
来源: 评论
Autoregressive Model Based Smoothing Forensics Of Very Short Speech Clips
Autoregressive Model Based Smoothing Forensics Of Very Short...
收藏 引用
IEEE International Conference on Multimedia and Expo (ICME)
作者: Sanshuai Cui Enlei Li Xiangui Kang Guangdong Key Laboratory of Information Security Technology School of Data and Computer Science Sun Yat-Sen University China
Smoothing is a post-processing widely used in speech tampering. Thus, we may determine whether a speech signal is original by smoothing forensics. However, in existing smoothing forensics methods, the detection perfor... 详细信息
来源: 评论
A Tutorial on Movable Antennas for Wireless Networks
arXiv
收藏 引用
arXiv 2025年
作者: Zhu, Lipeng Ma, Wenyan Mei, Weidong Zeng, Yong Wu, Qingqing Ning, Boyu Xiao, Zhenyu Shao, Xiaodan Zhang, Jun Zhang, Rui Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Chengdu611731 China National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electronic and Information Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of CNS/ATM MIIT Key Laboratory of Complex-field Intelligent Sensing Beijing Institute of Technology Beijing100081 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China
Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fix... 详细信息
来源: 评论
PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition
arXiv
收藏 引用
arXiv 2022年
作者: Zhou, Rushuang Zhang, Zhiguo Fu, Hong Zhang, Li Li, Linling Huang, Gan Dong, Yining Li, Fali Yang, Xin Jane, Zhen Liang School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen China Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen China School of Computer Science and Technology Harbin Insti- tute of Technology Shenzhen China Marshall Laboratory of Biomedical Engineering Shenzhen China Peng Cheng Laboratory Shenzhen China Department of Mathematics and Information Technology The Education University of Hong Kong Hong Kong School of Data Science City University of Hong Kong Hong Kong The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuroinformation University of Electronic Science and Technology of China China School of Life Science and Technology Center for Information in Medicine University of Electronic Science and Technology of China China
Affective brain-computer interfaces based on electroencephalography (EEG) is an important branch in the field of affective computing. However, individual differences and noisy lab.ls seriously limit the effectiveness ... 详细信息
来源: 评论
Design of People Flow Monitoring System in Public Place based on MD-MCNN
Design of People Flow Monitoring System in Public Place base...
收藏 引用
2020 International Conference on 5G Mobile Communication and information science, MCIS-5G 2020
作者: Tianmin, Xiong Xiaochun, Lei Xingwen, Zheng Junyan, Chen Yizhou, Feng School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Guangxi Colleges and Universities Key Lab. of Intelligent Processing of Computer Images and Graphics Guilin541004 China Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic Technology Guilin541004 China
Due to the limitation of hardware resources, the traditional people flow monitoring system based on computer vision in public places can't meet different crowd-scale scenarios. Therefore, a people flow monitoring ... 详细信息
来源: 评论