咨询与建议

限定检索结果

文献类型

  • 491 篇 期刊文献
  • 416 篇 会议

馆藏范围

  • 907 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 603 篇 工学
    • 451 篇 计算机科学与技术...
    • 369 篇 软件工程
    • 166 篇 信息与通信工程
    • 81 篇 生物工程
    • 72 篇 电气工程
    • 67 篇 控制科学与工程
    • 56 篇 电子科学与技术(可...
    • 45 篇 光学工程
    • 40 篇 生物医学工程(可授...
    • 33 篇 化学工程与技术
    • 27 篇 机械工程
    • 24 篇 仪器科学与技术
    • 19 篇 交通运输工程
    • 15 篇 网络空间安全
    • 14 篇 航空宇航科学与技...
  • 366 篇 理学
    • 181 篇 数学
    • 109 篇 物理学
    • 91 篇 生物学
    • 63 篇 统计学(可授理学、...
    • 35 篇 化学
    • 29 篇 系统科学
    • 19 篇 地球物理学
  • 194 篇 管理学
    • 117 篇 图书情报与档案管...
    • 85 篇 管理科学与工程(可...
    • 25 篇 工商管理
  • 47 篇 医学
    • 38 篇 临床医学
    • 33 篇 基础医学(可授医学...
    • 19 篇 药学(可授医学、理...
    • 14 篇 公共卫生与预防医...
  • 27 篇 法学
    • 22 篇 社会学
  • 10 篇 经济学
  • 9 篇 文学
  • 7 篇 农学
  • 5 篇 教育学

主题

  • 42 篇 semantics
  • 32 篇 training
  • 30 篇 feature extracti...
  • 29 篇 deep learning
  • 19 篇 knowledge graph
  • 19 篇 computational mo...
  • 17 篇 generative adver...
  • 16 篇 machine learning
  • 16 篇 information retr...
  • 15 篇 conferences
  • 15 篇 data models
  • 14 篇 data mining
  • 14 篇 graph neural net...
  • 14 篇 federated learni...
  • 12 篇 neural networks
  • 12 篇 privacy
  • 11 篇 convolution
  • 11 篇 accuracy
  • 11 篇 forecasting
  • 10 篇 big data

机构

  • 169 篇 university of ch...
  • 80 篇 cas key lab of n...
  • 62 篇 cas key laborato...
  • 43 篇 school of comput...
  • 33 篇 key laboratory o...
  • 31 篇 shandong provinc...
  • 26 篇 institute of com...
  • 21 篇 peng cheng labor...
  • 18 篇 data intelligenc...
  • 17 篇 school of cyber ...
  • 16 篇 institute of com...
  • 15 篇 beijing key labo...
  • 15 篇 key laboratory o...
  • 15 篇 cas key laborato...
  • 14 篇 cas center for e...
  • 14 篇 key laboratory o...
  • 13 篇 gansu provincial...
  • 12 篇 institute of art...
  • 12 篇 chongqing key la...
  • 12 篇 institute for ai...

作者

  • 151 篇 cheng xueqi
  • 108 篇 guo jiafeng
  • 48 篇 lan yanyan
  • 42 篇 shen huawei
  • 34 篇 jin xiaolong
  • 34 篇 fan yixing
  • 30 篇 pang liang
  • 28 篇 zhang ruqing
  • 22 篇 xu jun
  • 22 篇 cao qi
  • 21 篇 huang qingming
  • 20 篇 bai long
  • 19 篇 li zixuan
  • 19 篇 guan saiping
  • 18 篇 xu qianqian
  • 16 篇 xueqi cheng
  • 14 篇 sun xiaoming
  • 12 篇 niyato dusit
  • 11 篇 hu bin
  • 11 篇 yang zhiyong

语言

  • 844 篇 英文
  • 54 篇 其他
  • 15 篇 中文
检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
907 条 记 录,以下是501-510 订阅
排序:
ICTNET at Trec 2019 Incident Streams Track  28
ICTNET at Trec 2019 Incident Streams Track
收藏 引用
28th Text REtrieval Conference, TREC 2019
作者: Guangsheng, Kuang Kun, Zhang Jiabao, Zhang Xin, Zheng University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology China
Social medial become our public ways to share our information in our lives. Crisis management via social medial is becoming indispensable for its tremendous information. While deep learning shows surprising outcome in... 详细信息
来源: 评论
ICTNET at TREC 2019 News Track  28
ICTNET at TREC 2019 News Track
收藏 引用
28th Text REtrieval Conference, TREC 2019
作者: Ding, Yuyang Lian, Xiaoying Zhou, Houquan Liu, Zhaoge Ding, Hanxing Hou, Zhongni University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology China
This paper describes our work in the background linking task and entity ranking task in TREC 2018 News Track. We explore four methods in background linking task and two methods in entity ranking task. All of our metho...
来源: 评论
Single Cell Clustering Based on Multi-view Generation  2nd
Single Cell Clustering Based on Multi-view Generation
收藏 引用
2nd International Conference on Applied Intelligence, ICAI 2024
作者: Wang, Yueyue Wu, Zheyu Zhang, Qinhu Ningbo Institute of Digital Twin Eastern Institute of Technology No. 568 Tongxin Road Zhuangshi Street Zhejiang Ningbo315201 China Big Data and Intelligent Computing Research Center Guangxi Academy of Science Nanning530007 China Institute for Regenerative Medicine Medical Innovation Center and State Key Laboratory of Cardiology School of Medicine Shanghai East Hospital Tongji University Shanghai200123 China Shanghai Jiao Tong University Shanghai200240 China
The rapid development of single-cell RNA sequencing technology has opened new horizons for biomedical research. As the initial step in single-cell data analysis, clustering forms the foundation for downstream analyses... 详细信息
来源: 评论
ICTNET at TREC 2019 Complex Answer Retrieval Track  28
ICTNET at TREC 2019 Complex Answer Retrieval Track
收藏 引用
28th Text REtrieval Conference, TREC 2019
作者: Ren, Hongfei Xiong, Ruibin Zeng, Yutao Chen, Jiangui Cai, Yinqiong Jiang, Haoquan University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology China
We participate in the Complex Answer Retrieval(CAR) track at TREC 2019. We applied several useful models in this work. In the rough ranking, we applied doc2query model to predict queries and retrieve using BM25. In th...
来源: 评论
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
arXiv
收藏 引用
arXiv 2022年
作者: Duan, Yue Zhao, Zhen Qi, Lei Wang, Lei Zhou, Luping Shi, Yinghuan Gao, Yang The National Key Laboratory for Novel Software Technology The National Institute of Healthcare Data Science Nanjing University Nanjing210023 China The School of Electrical and Information Engineering The University of Sydney SydneyNSW2006 Australia The School of Computer Science and Engineering The Key Lab of Computer Network and Information Integration Ministry of Education Southeast University Nanjing211189 China The School of Computing and Information Technology University of Wollongong WollongongNSW2522 Australia
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom ... 详细信息
来源: 评论
Design and Application of a Portable Sleep Inertia Detection System Based on EEG Signals
Design and Application of a Portable Sleep Inertia Detection...
收藏 引用
2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
作者: Cui, Yunzhi Tian, Fuze Zhao, Qinglin Hu, Bin Lanzhou University Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences China Jt. Res. Ctr. for Cogn. Neurosensor Technology of Lanzhou University and Institute of Semiconductors Chinese Academy of Sciences China Ministry of Education Lanzhou China
Sleep inertia is a transitional state from sleep to wakefulness, accompanied by groggy feelings and cognitive impairment. Previous research on sleep inertia mainly used expensive and cumbersome equipment, and the anal... 详细信息
来源: 评论
UJN-Land: A Large-Scale High-Resolution Parcel of Land of Multi-temporal dataset with CNN Based Semantic Segmentation Analysis  7th
UJN-Land: A Large-Scale High-Resolution Parcel of Land of Mu...
收藏 引用
7th International Conference on Life System Modeling and Simulation, LSMS 2021, and the 7th International Conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2021
作者: Shen, Yuan Wang, Yulin Yang, Shiyong Li, Yan Han, Shiyuan Liu, Zhen Xu, Tao School of Information Science and Engineering University of Jinan Jinan250022 China Highresolution Earth Observation System Shandong Center of Data and Application University of Jinan Jinan250022 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan250022 China Shandong Institutes of Industrial Technonlogy Jinan250102 China Land Spatial Data and Remote Sensing Technology Institute of Shandong Province Jinan250002 China
Semantic segmentation of land in remote sensing images plays an important role in urban management and rural planning, and can provide intelligent analysis for urban development. Convolutional neural network (CNN) bas... 详细信息
来源: 评论
Disentangled cascaded Graph Convolution networks for Multi-Behavior Recommendation
arXiv
收藏 引用
arXiv 2024年
作者: Cheng, Zhiyong Dong, Jianhua Liu, Fan Zhu, Lei Yang, Xun Wang, Meng School of Computer Science and Information Engineering Hefei University of Technology No. 485 Danxia Road Anhui Hefei230009 China Shandong Artificial Intelligence Institute Qilu University of Technology Shandong Academy of Sciences No. 19 Keyuan Road Shandong Jinan250014 China School of Computing National University of Singapore 21 Lower Kent Ridge Road Singapore119077 Singapore School of Electronic and Information Engineering University of Tongji No. 4800 Caoan Road Shanghai201804 China School of Information Science and Technology University of Science and Technology of China No. 443 Huangshan Road Anhui Hefei230027 China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Institute of Artificial Intelligence Hefei Comprehensive National Science Centery No. 485 Danxia Road Anhui Hefei230009 China
Multi-behavioral recommender systems have emerged as a solution to address data sparsity and cold-start issues by incorporating auxiliary behaviors alongside target behaviors. However, existing models struggle to accu... 详细信息
来源: 评论
Zero Stability Well Predicts Performance of Convolutional Neural networks
arXiv
收藏 引用
arXiv 2022年
作者: Chen, Liangming Jin, Long Shang, Mingsheng Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences China Chongqing School University of Chinese Academy of Sciences China School of Information Science and Engineering Lanzhou University China
The question of what kind of convolutional neural network (CNN) structure performs well is fascinating. In this work, we move toward the answer with one more step by connecting zero stability and model performance. Sp... 详细信息
来源: 评论
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
arXiv
收藏 引用
arXiv 2020年
作者: Li, Jianing Lan, Yanyan Guo, Jiafeng Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
The goal of text generation models is to fit the underlying real probability distribution of text. For performance evaluation, quality and diversity metrics are usually applied. However, it is still not clear to what ... 详细信息
来源: 评论