咨询与建议

限定检索结果

文献类型

  • 478 篇 会议
  • 178 篇 期刊文献

馆藏范围

  • 656 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 426 篇 工学
    • 322 篇 计算机科学与技术...
    • 233 篇 软件工程
    • 78 篇 信息与通信工程
    • 51 篇 电子科学与技术(可...
    • 43 篇 控制科学与工程
    • 32 篇 生物工程
    • 29 篇 机械工程
    • 27 篇 电气工程
    • 20 篇 仪器科学与技术
    • 15 篇 动力工程及工程热...
    • 11 篇 材料科学与工程(可...
    • 9 篇 环境科学与工程(可...
    • 9 篇 网络空间安全
    • 8 篇 土木工程
    • 7 篇 农业工程
    • 6 篇 力学(可授工学、理...
    • 6 篇 建筑学
    • 6 篇 化学工程与技术
  • 165 篇 理学
    • 103 篇 数学
    • 33 篇 生物学
    • 30 篇 系统科学
    • 25 篇 物理学
    • 24 篇 统计学(可授理学、...
    • 10 篇 化学
  • 113 篇 管理学
    • 75 篇 管理科学与工程(可...
    • 42 篇 图书情报与档案管...
    • 21 篇 工商管理
  • 14 篇 法学
    • 12 篇 社会学
  • 13 篇 经济学
    • 13 篇 应用经济学
  • 8 篇 农学
    • 7 篇 作物学
  • 4 篇 文学
  • 3 篇 军事学
  • 2 篇 教育学
  • 2 篇 医学
  • 1 篇 艺术学

主题

  • 32 篇 computational mo...
  • 24 篇 concurrent compu...
  • 21 篇 distributed proc...
  • 20 篇 fault tolerance
  • 20 篇 benchmark testin...
  • 18 篇 laboratories
  • 16 篇 application soft...
  • 15 篇 algorithm design...
  • 15 篇 feature extracti...
  • 15 篇 kernel
  • 15 篇 distributed comp...
  • 14 篇 computer archite...
  • 14 篇 servers
  • 14 篇 cloud computing
  • 14 篇 training
  • 13 篇 parallel process...
  • 13 篇 deep learning
  • 13 篇 protocols
  • 13 篇 hardware
  • 13 篇 delay

机构

  • 94 篇 college of compu...
  • 81 篇 national laborat...
  • 78 篇 science and tech...
  • 45 篇 national laborat...
  • 39 篇 school of comput...
  • 31 篇 national laborat...
  • 22 篇 science and tech...
  • 22 篇 national key lab...
  • 19 篇 national key lab...
  • 18 篇 national laborat...
  • 16 篇 national laborat...
  • 15 篇 school of comput...
  • 14 篇 national laborat...
  • 12 篇 national key lab...
  • 11 篇 national laborat...
  • 10 篇 national key lab...
  • 9 篇 national laborat...
  • 8 篇 national key lab...
  • 7 篇 department of co...
  • 7 篇 national laborat...

作者

  • 26 篇 wang huaimin
  • 24 篇 wang yijie
  • 21 篇 dongsheng li
  • 21 篇 yijie wang
  • 20 篇 zhigang luo
  • 20 篇 huaimin wang
  • 18 篇 peng yuxing
  • 17 篇 naiyang guan
  • 17 篇 ji wang
  • 15 篇 li dongsheng
  • 14 篇 yuxing peng
  • 14 篇 wang ji
  • 14 篇 ding bo
  • 14 篇 yin gang
  • 12 篇 xiang zhang
  • 12 篇 liu jie
  • 12 篇 jie liu
  • 11 篇 jia jia
  • 11 篇 wang huai-min
  • 10 篇 xuejun yang

语言

  • 615 篇 英文
  • 40 篇 中文
  • 1 篇 其他
检索条件"机构=National Laboratory of Parallel and Distributed Processing School of Computer"
656 条 记 录,以下是61-70 订阅
排序:
Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data
Effective Anomaly Detection Based on Reinforcement Learning ...
收藏 引用
International Conference on parallel and distributed Systems (ICPADS)
作者: Zhongyang Wang Yijie Wang Hongzuo Xu Yongjun Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology
Mixed-type data with both categorical and numerical features are ubiquitous in network security, but the existing methods are minimal to deal with them. Existing methods usually process mixed-type data through feature... 详细信息
来源: 评论
Entropy and Autoencoder-Based Outlier Detection in Mixed-Type Network Traffic Data
Entropy and Autoencoder-Based Outlier Detection in Mixed-Typ...
收藏 引用
IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Zhongyang Wang Yijie Wang Zhenyu Huang Yongjun Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology
Mixed-type data containing categorical and numerical features are pervasive in real life, but very limited outlier detection methods are available for these data. Some existing methods handle mixed-type data by featur... 详细信息
来源: 评论
Deep Isolation Forest for Anomaly Detection
arXiv
收藏 引用
arXiv 2022年
作者: Xu, Hongzuo Pang, Guansong Wang, Yijie Wang, Yongjun The College of Computer National University of Defense Technology Changsha410073 China The Science and Technology on Parallel and Distributed Processing Laboratory China The School of Computing and Information Systems Singapore Management University 178902 Singapore
Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear ... 详细信息
来源: 评论
Attention-based Encoder-Decoder Recurrent Neural Networks for HTTP Payload Anomaly Detection
Attention-based Encoder-Decoder Recurrent Neural Networks fo...
收藏 引用
IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Shang Wu Yijie Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology
Attack payloads are often short segments hidden in HTTP requests; thus they can be found by HTTP payload anomaly detection. Deep learning models learn data features during training without manual feature extraction, a... 详细信息
来源: 评论
A Memory Saving Mechanism Based on Data Transferring for Pipeline parallelism
A Memory Saving Mechanism Based on Data Transferring for Pip...
收藏 引用
IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Wei Jiang Rui Xu Sheng Ma Qiong Wang Xiang Hou Hongyi Lu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
The correctness and robustness of the neural network model are usually proportional to its depth and width. Currently, the neural network models become deeper and wider to cope with complex applications, which leads t... 详细信息
来源: 评论
Co-designing the Topology/Algorithm to Accelerate distributed Training
Co-designing the Topology/Algorithm to Accelerate Distribute...
收藏 引用
IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Xiang Hou Rui Xu Sheng Ma Qiong Wang Wei Jiang Hongyi Lu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
With the development of Deep Learning (DL), Deep Neural Network (DNN) models have become more complex. At the same time, the development of the Internet makes it easy to obtain large data sets for DL training. Large-s... 详细信息
来源: 评论
Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection
Surrogate Supervision-based Deep Weakly-supervised Anomaly D...
收藏 引用
IEEE International Conference on Data Mining Workshops (ICDM Workshops)
作者: Zhiyue Wu Hongzuo Xu Yijie Wang Yongjun Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Many anomaly detection applications can provide partially observed anomalies, but only limited work is for this setting. Additionally, a number of anomaly detectors focus on learning a particular model of normal/abnor... 详细信息
来源: 评论
Word Embedding-based Context-sensitive Network Flow Payload Anomaly Detection
Word Embedding-based Context-sensitive Network Flow Payload ...
收藏 引用
International Conference on Applied Machine Learning (ICAML)
作者: Yizhou Li Yijie Wang Li Cheng Hongzuo Xu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Payload anomaly detection can discover malicious behaviors hidden in network packets. It is hard to handle payload due to its various possible characters and complex semantic context, and thus identifying abnormal pay... 详细信息
来源: 评论
Fden: Mining Effective Information of Features in Detecting Network Anomalies
Fden: Mining Effective Information of Features in Detecting ...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal processing
作者: Bin Li Yijie Wang Mingyu Liu Kele Xu Zhongyang Wang Li Cheng Yizhou Li Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Network anomaly detection is important for detecting and reacting to the presence of network attacks. In this paper, we propose a novel method to effectively leverage the features in detecting network anomalies, named... 详细信息
来源: 评论
EmbRace: Accelerating Sparse Communication for distributed Training of NLP Neural Networks
arXiv
收藏 引用
arXiv 2021年
作者: Li, Shengwei Lai, Zhiquan Li, Dongsheng Zhang, Yiming Ye, Xiangyu Duan, Yabo National Key Laboratory of Parallel Distributed Processing Computer College National University of Defense Technology China Xiamen University China
distributed data-parallel training has been widely adopted for deep neural network (DNN) models. Although current deep learning (DL) frameworks scale well for dense models like image classification models, we find tha... 详细信息
来源: 评论