咨询与建议

限定检索结果

文献类型

  • 330 篇 期刊文献
  • 278 篇 会议

馆藏范围

  • 608 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 415 篇 工学
    • 308 篇 计算机科学与技术...
    • 266 篇 软件工程
    • 94 篇 信息与通信工程
    • 70 篇 生物工程
    • 52 篇 电气工程
    • 48 篇 控制科学与工程
    • 38 篇 机械工程
    • 35 篇 光学工程
    • 31 篇 生物医学工程(可授...
    • 29 篇 电子科学与技术(可...
    • 16 篇 化学工程与技术
    • 14 篇 建筑学
    • 14 篇 土木工程
    • 13 篇 动力工程及工程热...
    • 12 篇 仪器科学与技术
    • 11 篇 交通运输工程
    • 11 篇 网络空间安全
  • 206 篇 理学
    • 112 篇 数学
    • 73 篇 生物学
    • 38 篇 物理学
    • 31 篇 统计学(可授理学、...
    • 18 篇 系统科学
    • 17 篇 化学
  • 116 篇 管理学
    • 67 篇 管理科学与工程(可...
    • 56 篇 图书情报与档案管...
    • 23 篇 工商管理
  • 24 篇 法学
    • 19 篇 社会学
  • 18 篇 医学
    • 17 篇 临床医学
    • 12 篇 基础医学(可授医学...
  • 8 篇 教育学
    • 8 篇 教育学
  • 6 篇 经济学
  • 6 篇 农学
  • 3 篇 军事学

主题

  • 34 篇 semantics
  • 22 篇 training
  • 20 篇 deep learning
  • 16 篇 feature extracti...
  • 13 篇 convolution
  • 11 篇 neural networks
  • 11 篇 visualization
  • 10 篇 conferences
  • 10 篇 graph neural net...
  • 9 篇 data models
  • 8 篇 task analysis
  • 8 篇 signal processin...
  • 8 篇 optimization
  • 8 篇 predictive model...
  • 8 篇 decoding
  • 8 篇 codes
  • 7 篇 deep neural netw...
  • 7 篇 three-dimensiona...
  • 7 篇 recommender syst...
  • 7 篇 speech processin...

机构

  • 49 篇 school of softwa...
  • 38 篇 school of big da...
  • 38 篇 key laboratory o...
  • 21 篇 school of softwa...
  • 20 篇 state key labora...
  • 20 篇 school of cyber ...
  • 19 篇 school of comput...
  • 18 篇 national enginee...
  • 17 篇 hubei key labora...
  • 17 篇 national enginee...
  • 17 篇 hubei engineerin...
  • 16 篇 key laboratory o...
  • 16 篇 college of compu...
  • 16 篇 services computi...
  • 15 篇 key laboratory o...
  • 15 篇 beijing advanced...
  • 15 篇 cluster and grid...
  • 15 篇 state key labora...
  • 14 篇 school of inform...
  • 12 篇 peng cheng labor...

作者

  • 15 篇 huang sheng
  • 15 篇 wu qingyao
  • 14 篇 hu shengshan
  • 14 篇 li minghui
  • 13 篇 tan mingkui
  • 13 篇 cai yi
  • 12 篇 shen linlin
  • 11 篇 jin hai
  • 10 篇 zhang leo yu
  • 10 篇 qingyao wu
  • 9 篇 cui bin
  • 9 篇 meng yan
  • 8 篇 hai jin
  • 8 篇 zhou ziqi
  • 7 篇 lü jinhu
  • 7 篇 ling xu
  • 7 篇 minghui li
  • 7 篇 shengshan hu
  • 7 篇 fei dai
  • 7 篇 zhang wentao

语言

  • 562 篇 英文
  • 42 篇 其他
  • 5 篇 中文
检索条件"机构=Key Laboratory of Big Data and Intelligent Robot School of Software Engineering"
608 条 记 录,以下是121-130 订阅
排序:
Why not Just Look for Answers? Using a More Direct Way for API Recommendation
Why not Just Look for Answers? Using a More Direct Way for A...
收藏 引用
Asia-Pacific Conference on software engineering
作者: Changxin Liu Ling Xu Wenhan Mu Rui Qin Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education China School of Big Data and Software Engineering Chongqing University Chongqing China
Automated API recommendation technology can help developers quickly find target APIs that meet their require-ments. Some retrieval-based API recommendation approaches, such as BIKER and CLEAR, adopt an indirect API re... 详细信息
来源: 评论
Self-Supervised Teaching and Learning of Representations on Graphs  23
Self-Supervised Teaching and Learning of Representations on ...
收藏 引用
2023 World Wide Web Conference, WWW 2023
作者: Wan, Liangtian Fu, Zhenqiang Sun, Lu Wang, Xianpeng Xu, Gang Yan, Xiaoran Xia, Feng Key Laboratory for Ubiquitous Network Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian China State Key Laboratory of Marine Resource Utilization in South China Sea School of Information and Communication Engineering Hainan University Haikou China State Key Laboratory of Millimeter Waves School of Information Science and Engineering Southeast University Nanjing China Research Center of Big Data Intelligence Research Institute of Artificial Intelligence Zhejiang Lab Hangzhou China School of Computing Technologies Rmit University Melbourne Australia
Recent years have witnessed significant advances in graph contrastive learning (GCL), while most GCL models use graph neural networks as encoders based on supervised learning. In this work, we propose a novel graph le... 详细信息
来源: 评论
Deep Common Feature Mining for Efficient Video Semantic Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Zheng, Yaoyan Yang, Hongyu Huang, Di State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Shanghai Artificial Intelligence Laboratory Shanghai201112 China Zhejiang Industrial Big Data and Robot Intelligent System Key Laboratory Hangzhou Innovation Institute Beihang University Hangzhou310051 China
Recent advancements in video semantic segmentation have made substantial progress by exploiting temporal correlations. Nevertheless, persistent challenges, including redundant computation and the reliability of the fe... 详细信息
来源: 评论
NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In Dynamic Environments
NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In...
收藏 引用
IEEE International Conference on Multimedia and Expo (ICME)
作者: Ziheng Xu Jianwei Niu Qingfeng Li Tao Ren Chen Chen School of Computer Science Beihang University Beijing China State Key Laboratory of Intelligent Game Institute of Software Chinese Academy of Sciences Beijing China Big Data and Industrial Intelligent Networking Laboratory Hangzhou Innovation Institute of Beihang University Hangzhou China
Neural implicit representations have been explored to enhance visual SLAM algorithms, especially in providing high-fidelity dense map. Existing methods operate robustly in static scenes but struggle with the disruptio... 详细信息
来源: 评论
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Zhou, Wenlve Zhou, Zhiheng Wang, Tianlei Zeng, Delu School of Electronic and Information Engineering South China University of Technology Guangdong Guangzhou510641 China Key Laboratory of Big Data and Intelligent Robot Ministry of Education South China University of Technology Guangzhou510641 China The Department of Intelligent Manufacturing Wuyi University Jiangmen529020 China
Unsupervised Domain Adaptation (UDA) endeavors to adjust models trained on a source domain to perform well on a target domain without requiring additional annotations. In the context of domain adaptive semantic segmen... 详细信息
来源: 评论
RGB-D Based Visual Navigation Using Direction Estimation Module  18th
RGB-D Based Visual Navigation Using Direction Estimation Mod...
收藏 引用
18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021
作者: Luo, Chao Bi, Sheng Dong, Min Nie, Hongxu School of Computer Science and Engineering South China University of Technology Guangdong Guangzhou510006 China Key Laboratory of Big Data and Intelligent Robot Ministry of Education Guangdong Guangzhou510006 China
Target-driven visual navigation without mapping works to solve navigation problems that given a target object, mobile robots can navigate to the target object. Recently, visual navigation has been researched and impro... 详细信息
来源: 评论
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization
收藏 引用
ACM Transactions on Evolutionary Learning and Optimization 2024年 第3期4卷 1-23页
作者: Liu, Shengcai Lu, Ning Hong, Wenjing Qian, Chao Tang, Ke Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen College of Engineering South Tower 1088 Xueyuan Avenue Guangdong Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong999077 Hong Kong National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen 10F Zhizhen Building Canghai Campus 3688 Nanhai Avenue Guangdong Shenzhen China National Key Laboratory for Novel Software Technology School of Artificial Intelligence Nanjing University Nanjing International College Area Xianlin Campus 163 Xianlin Avenue Jiangsu Nanjing China
The field of adversarial textual attack has significantly grown over the past few years, where the commonly considered objective is to craft adversarial examples (AEs) that can successfully fool the target model. Howe... 详细信息
来源: 评论
ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules
收藏 引用
Computer Modeling in engineering & Sciences 2024年 第4期139卷 361-382页
作者: Lu Chen Huaqiang Chen Zhikai Pan Sheng Xu Guangsheng Lai Shuwen Chen Shuihua Wang Xiaodong Gu Yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia State Key Laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China
Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques ***:A novel method,ThyroidNet,is introduced and evaluated based on deep learning ... 详细信息
来源: 评论
Harnessing Monotonic Neural Networks for Performance Prediction and Threshold Determination in Multichannel Detection
收藏 引用
IEEE Transactions on Signal Processing 2025年
作者: Zhou, Rui Pu, Wenqiang You, Ming-Yi Shi, Qingjiang The Chinese University of Hong Kong-Shenzhen Shenzhen Research Institute of Big Data Guangdong China National Key Laboratory of Electromagnetic Space Security Jiaxing China Tongji University School of Software Engineering Shanghai China Shenzhen Research Institute of Big Data Shenzhen China
Despite extensive research on numerous multichannel detection methods, predicting their performance remains difficult due to the high dimensionality of raw data and the complexity of the detection process. To tackle t... 详细信息
来源: 评论
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
arXiv
收藏 引用
arXiv 2023年
作者: Liang, Guoqiang Chen, Zhaojie Chen, Zhaoqiang Ji, Shiyu Zhang, Yanning Northwestern Polytechnical University 710072 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology China Key Laboratory of Big Data Storage and Management China School of Computer Science China School of Software Engineering China
—To imitate the ability of keeping learning of human, continual learning which can learn from a never-ending data stream has attracted more interests recently. In all settings, the online class incremental learning (... 详细信息
来源: 评论