咨询与建议

限定检索结果

文献类型

  • 326 篇 期刊文献
  • 275 篇 会议

馆藏范围

  • 601 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 413 篇 工学
    • 307 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
    • 51 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

  • 33 篇 semantics
  • 21 篇 training
  • 19 篇 deep learning
  • 16 篇 feature extracti...
  • 13 篇 convolution
  • 11 篇 visualization
  • 10 篇 conferences
  • 10 篇 neural networks
  • 10 篇 graph neural net...
  • 9 篇 data models
  • 8 篇 task analysis
  • 8 篇 signal processin...
  • 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...
  • 7 篇 optimization

机构

  • 48 篇 school of softwa...
  • 38 篇 school of big da...
  • 38 篇 key laboratory o...
  • 20 篇 state key labora...
  • 19 篇 school of comput...
  • 19 篇 school of softwa...
  • 19 篇 school of cyber ...
  • 18 篇 national enginee...
  • 17 篇 hubei key labora...
  • 17 篇 national enginee...
  • 17 篇 hubei engineerin...
  • 16 篇 key laboratory o...
  • 16 篇 services computi...
  • 15 篇 college of compu...
  • 15 篇 beijing advanced...
  • 15 篇 cluster and grid...
  • 15 篇 state key labora...
  • 14 篇 key laboratory o...
  • 13 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 zhou ziqi
  • 7 篇 lü jinhu
  • 7 篇 ling xu
  • 7 篇 fei dai
  • 7 篇 zhang wentao
  • 7 篇 lin guosheng
  • 7 篇 wang jin
  • 6 篇 li jiangmeng

语言

  • 555 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"
601 条 记 录,以下是11-20 订阅
排序:
Differential-Trust-Mechanism Based Trade-off Method Between Privacy and Accuracy in Recommender Systems
收藏 引用
IEEE Transactions on Information Forensics and Security 2025年 20卷 5054-5068页
作者: Xu, Guangquan Feng, Shicheng Xi, Hao Yan, Qingyang Li, Wenshan Wang, Cong Wang, Wei Liu, Shaoying Tian, Zhihong Zheng, Xi Qingdao Huanghai University School of Big Data Qingdao China Tianjin University College of Intelligence and Computing Tianjin300350 China KLISS and School of Software Beijing100084 China Sichuan University School of Cyber Science and Engineering Chengdu610207 China Xi’an Jiaotong University School of Cyber Science and Engineering Xi’an710049 China East China Normal University Shanghai200062 China Hiroshima University School of Informatics and Data Science Higashihiroshima739-8511 Japan Guangzhou University Cyberspace Institute of Advanced Technology Guangdong Key Laboratory of Industrial Control System Security Huangpu Research School of Guangzhou University China Macquarie University School of Computing SydneyNSW2109 Australia
In the era where Web3.0 values data security and privacy, adopting groundbreaking methods to enhance privacy in recommender systems is crucial. Recommender systems need to balance privacy and accuracy, while also havi... 详细信息
来源: 评论
DBSSL: A Scheme to Detect Backdoor Attacks in Self-Supervised Learning Models
收藏 引用
IEEE Transactions on Dependable and Secure Computing 2025年
作者: Huang, Yuxian Yang, Geng Yuan, Dong Yu, Shui Nanjing University of Posts and Telecommunication College of Computer Science and Software China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing China University of Sydney School of Electrical and Information Engineering Australia University of Technology Sydney School of Computer Science Australia
Recently, self-supervised learning has garnered significant attention for its ability to extract high-quality features from unlabeled data. However, existing research indicates that backdoor attacks can pose significa... 详细信息
来源: 评论
An Encoder-Decoder Model Based On Spiking Neural Networks For Address Event Representation Object Recognition
收藏 引用
IEEE Transactions on Cognitive and Developmental Systems 2025年
作者: Du, Sichun Zhu, Haodi Zhang, Yang Hong, Qinghui Hunan University College of Computer Science and Electronic Engineering Changsha418002 China Shenzhen University Computer Vision Institute School of Computer Science and Software Engineering National Engineering Laboratory for Big Data System Computing Technology Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China
Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the spiking neural network (SNN)... 详细信息
来源: 评论
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
arXiv
收藏 引用
arXiv 2025年
作者: Wang, Feng Qiu, Hong Huang, Yingying Gu, Xiaozhe Wang, Renfang Yang, Bo College of Big Data and Software Engineering Zhejiang Wanli University Ningbo315200 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310027 China
Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their prom... 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
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kaijun Deng Dezhi Zheng Jindong Xie Jinbao Wang Weicheng Xie Linlin Shen Siyang Song Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Department of Computer Science University of Exeter
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed p... 详细信息
来源: 评论
Dual Encoders for Diffusion-based Image Inpainting
Dual Encoders for Diffusion-based Image Inpainting
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Dezhi Zheng Kaijun Deng Jinbao Wang Linlin Shen Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen China
Current diffusion-based inpainting models struggle to preserve unmasked regions or generate highly coherent content. Additionally, it is hard for them to generate meaningful content for 3D inpainting. To tackle these ... 详细信息
来源: 评论
A comprehensive survey on shadow removal from document images: datasets, methods, and opportunities
收藏 引用
Vicinagearth 2025年 第1期2卷 1-18页
作者: Wang, Bingshu Li, Changping Zou, Wenbin Zhang, Yongjun Chen, Xuhang Chen, C.L. Philip School of Software Northwestern Polytechnical University Xi’an China Guangdong Provincial Key Laboratory of Intelligent Information Processing & Shenzhen Key Laboratory of Media Security Shenzhen University Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen China Yongjun Zhang is with the State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China School of Computer Science and Engineering Huizhou University Huizhou China School of Computer Science and Engineering South China University of Technology and Pazhou Lab Guangzhou China
With the rapid development of document digitization, people have become accustomed to capturing and processing documents using electronic devices such as smartphones. However, the captured document images often suffer...
来源: 评论
Zero-Shot Cross-Domain Code Search without Fine-Tuning
arXiv
收藏 引用
arXiv 2025年
作者: Liang, keyu Liu, Zhongxin Liu, Chao Wan, Zhiyuan Lo, David Yang, Xiaohu The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China School of Big Data and Software Engineering Chongqing University Chongqing China School of Computing and Information Systems Singapore Management University Singapore Singapore
Code search is a crucial task in software engineering, aiming to retrieve code snippets that are semantically relevant to a natural language query. Recently, Pre-trained Language Models (PLMs) have shown remarkable su... 详细信息
来源: 评论
CoSIL: software Issue Localization via LLM-Driven Code Repository Graph Searching
arXiv
收藏 引用
arXiv 2025年
作者: Jiang, Zhonghao Ren, Xiaoxue Yan, Meng Jiang, Wei Li, Yong Liu, Zhongxin The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Institute of Blockchain and Data Security Hangzhou China School of Big Data and Software Engineering Chongqing University Chongqing China Ant Group Hangzhou China
Large language models (LLMs) have significantly advanced autonomous software engineering, leading to a growing number of software engineering agents that assist developers in automatic program repair. Issue localizati... 详细信息
来源: 评论