咨询与建议

限定检索结果

文献类型

  • 524 篇 会议
  • 483 篇 期刊文献
  • 5 册 图书

馆藏范围

  • 1,012 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 651 篇 工学
    • 484 篇 计算机科学与技术...
    • 414 篇 软件工程
    • 136 篇 信息与通信工程
    • 88 篇 生物工程
    • 83 篇 控制科学与工程
    • 82 篇 电气工程
    • 64 篇 化学工程与技术
    • 49 篇 生物医学工程(可授...
    • 46 篇 电子科学与技术(可...
    • 43 篇 机械工程
    • 30 篇 光学工程
    • 29 篇 安全科学与工程
    • 28 篇 动力工程及工程热...
    • 28 篇 交通运输工程
    • 18 篇 网络空间安全
  • 333 篇 理学
    • 190 篇 数学
    • 97 篇 生物学
    • 74 篇 统计学(可授理学、...
    • 50 篇 物理学
    • 38 篇 化学
    • 33 篇 系统科学
  • 199 篇 管理学
    • 115 篇 管理科学与工程(可...
    • 90 篇 图书情报与档案管...
    • 46 篇 工商管理
  • 60 篇 医学
    • 48 篇 临床医学
    • 43 篇 基础医学(可授医学...
    • 31 篇 公共卫生与预防医...
    • 23 篇 药学(可授医学、理...
  • 27 篇 法学
    • 19 篇 社会学
  • 18 篇 经济学
    • 18 篇 应用经济学
  • 17 篇 农学
  • 6 篇 教育学
  • 2 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 39 篇 feature extracti...
  • 37 篇 training
  • 36 篇 deep learning
  • 34 篇 accuracy
  • 31 篇 data models
  • 27 篇 computational mo...
  • 26 篇 semantics
  • 25 篇 cloud computing
  • 22 篇 predictive model...
  • 21 篇 big data
  • 20 篇 federated learni...
  • 19 篇 optimization
  • 19 篇 convolutional ne...
  • 17 篇 machine learning
  • 16 篇 internet of thin...
  • 16 篇 visualization
  • 15 篇 conferences
  • 15 篇 security
  • 14 篇 image segmentati...
  • 14 篇 convolution

机构

  • 134 篇 college of compu...
  • 76 篇 national enginee...
  • 39 篇 school of big da...
  • 38 篇 school of big da...
  • 36 篇 college of compu...
  • 32 篇 college of compu...
  • 28 篇 key laboratory o...
  • 26 篇 college of compu...
  • 23 篇 big data institu...
  • 22 篇 college of compu...
  • 21 篇 college of data ...
  • 19 篇 college of compu...
  • 17 篇 state key labora...
  • 16 篇 school of data a...
  • 16 篇 shenzhen univers...
  • 16 篇 shenzhen univers...
  • 15 篇 college of big d...
  • 14 篇 college of big d...
  • 14 篇 college of scien...
  • 13 篇 shenzhen researc...

作者

  • 20 篇 shen linlin
  • 18 篇 huang joshua zhe...
  • 18 篇 li jianqiang
  • 18 篇 lan li
  • 15 篇 victor c. m. leu...
  • 14 篇 li leixiao
  • 13 篇 leung victor c.m...
  • 13 篇 xiaofei wang
  • 12 篇 niyato dusit
  • 12 篇 jianqiang li
  • 11 篇 xiuhua li
  • 10 篇 gao can
  • 10 篇 jie chen
  • 9 篇 shi qingjiang
  • 9 篇 li xiuhua
  • 9 篇 zhong ming
  • 9 篇 jian-tao zhou
  • 9 篇 leung victor c. ...
  • 9 篇 gao jing
  • 9 篇 lyu shen-huan

语言

  • 928 篇 英文
  • 76 篇 其他
  • 12 篇 中文
检索条件"机构=College of Data Science and Software Engineering"
1012 条 记 录,以下是241-250 订阅
排序:
Label Information Bottleneck for Label Enhancement
arXiv
收藏 引用
arXiv 2023年
作者: Zheng, Qinghai Zhu, Jihua Tang, Haoyu College of Computer and Data Science Fuzhou University China School of Software Engineering Xi'an Jiaotong University Xi'An China School of Software Shandong University Jinan China
In this work, we focus on the challenging problem of Label Enhancement (LE), which aims to exactly recover label distributions from logical labels, and present a novel Label Information Bottleneck (LIB) method for LE.... 详细信息
来源: 评论
Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
arXiv
收藏 引用
arXiv 2025年
作者: Chen, Ning Lyu, Shen-Huan Wu, Tian-Shuang Wang, Yanyan Tang, Bin Key Laboratory of Water Big Data Technology of Ministry of Water Resources College of Computer Science and Software Engineering Hohai University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China
In multi-label learning, leveraging contrastive learning to learn better representations faces a key challenge: selecting positive and negative samples and effectively utilizing label information. Previous studies sel... 详细信息
来源: 评论
Label Information Bottleneck for Label Enhancement
Label Information Bottleneck for Label Enhancement
收藏 引用
Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Qinghai Zheng Jihua Zhu Haoyu Tang College of Computer and Data Science Fuzhou University China School of Software Engineering Xi'an Jiaotong University Xi'an China School of Software Shandong University Jinan China
In this work, we focus on the challenging problem of Label Enhancement (LE), which aims to exactly recover label distributions from logical labels, and present a novel Label Information Bottleneck (LIB) method for LE....
来源: 评论
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
arXiv
收藏 引用
arXiv 2025年
作者: Wu, Tian-Shuang Lyu, Shen-Huan Chen, Ning Qu, Zhihao Ye, Baoliu Key Laboratory of Water Big Data Technology Ministry of Water Resources College of Computer Science and Software Engineering Hohai University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China
In recent years, as a compromise between privacy and performance, few-sample model compression has been widely adopted to deal with limited data resulting from privacy and security concerns. However, when the number o... 详细信息
来源: 评论
Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
收藏 引用
IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年
作者: Yang, Chuanxiang Zhou, Yuanfeng Wei, Guangshun Ma, Long Hou, Junhui Liu, Yuan Wang, Wenping The School of Software Shandong University Jinan250100 China The Department of Computer Science City University of Hong Kong Hong Kong The College of Computing and Data Science Nanyang Technological University Singapore The Department of Computer Science and Engineering Texas A&M University College StationTX77843 United States
As commonly used implicit geometry representations, the signed distance function (SDF) is limited to modeling watertight shapes, while the unsigned distance function (UDF) is capable of representing various surfaces. ... 详细信息
来源: 评论
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
arXiv
收藏 引用
arXiv 2024年
作者: Chen, Jinqian Zhu, Jihua Zheng, Qinghai Li, Zhongyu Tian, Zhiqiang School of Software Engineering Xi’an Jiaotong University China College of Computer and Data Science Fuzhou University China Shaanxi Joint Key Laboratory for Artificial Intelligence China
Federated learning encounters substantial challenges with heterogeneous data, leading to performance degradation and convergence issues. While considerable progress has been achieved in mitigating such an impact, the ... 详细信息
来源: 评论
A Novel Multi-layered Minutiae Extractor Based on OCT Fingerprints  16th
A Novel Multi-layered Minutiae Extractor Based on OCT Finge...
收藏 引用
16th Chinese Conference on Biometric Recognition, CCBR 2022
作者: Zeng, Wenfeng Zhang, Wentian Liu, Feng Tan, Xu Li, Qin College of Computer Science and Software Engineering Shenzhen University Shenzhen China SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Senzhen China The National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China School of Software Engineering Shenzhen Institute of Information Technology Shenzhen China
Fingerprints of Optical Coherence Tomography (OCT) imaging provide 3D volume data which have the nature property of multi-layered tissue structure. This paper, for the first time, attempts to extract minutiae for OCT-... 详细信息
来源: 评论
High-Available Cloud Platform Based on OpenStack  2022
High-Available Cloud Platform Based on OpenStack
收藏 引用
8th International Conference on Computing and data engineering, ICCDE 2022
作者: Li, Jie Zhang, Tian-Xiang Li, Leixiao Kang, Zefeng Niu, Tieming Gao, Jing College of Data Science and Application Inner Mongolia University of Technology China Inner Mongolia Autonomous Reg. Software Serv. Eng. Technology Research Center Based on Big Data Hohhot China College of Computer and Information Engineering Inner Mongolia Agricultural University Hohhot China
The availability of cloud services is an important performance index of cloud platform. It is the premise and basis for a cloud platform to provide services. Aiming at the problem of insufficient reliability of cloud ... 详细信息
来源: 评论
FedRec++: Lossless Federated Recommendation with Explicit Feedback  35
FedRec++: Lossless Federated Recommendation with Explicit Fe...
收藏 引用
35th AAAI Conference on Artificial Intelligence, AAAI 2021
作者: Liang, Feng Pan, Weike Ming, Zhong National Engineering Laboratory for Big Data System Computing Technology College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China
With the marriage of federated machine learning and recommender systems for privacy-aware preference modeling and personalization, there comes a new research branch called federated recommender systems aiming to build... 详细信息
来源: 评论
Preserving Location Privacy of IoT Devices in Heterogeneous Edge Computing Architecture Through Deniability-Based Authentication
收藏 引用
IEEE Transactions on Consumer Electronics 2025年
作者: Ali, Ikram Li, Jianqiang Chen, Jie Chen, Yong Ullah, Shamsher Wakeel, Abdul Shenzhen University National Engineering Laboratory of Big Data System Computing Technology Shenzhen518060 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China National University of Sciences and Technology Military College of Signals Department of Electrical Engineering Islamabad Pakistan
Edge computing moves cloud services closer to consumer Internet of Things (IoT) devices, reducing latency and bandwidth usage. This setup enables faster responses but also introduces new security challenges, particula... 详细信息
来源: 评论