咨询与建议

限定检索结果

文献类型

  • 197 篇 期刊文献
  • 172 篇 会议

馆藏范围

  • 369 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 247 篇 工学
    • 204 篇 计算机科学与技术...
    • 178 篇 软件工程
    • 54 篇 信息与通信工程
    • 35 篇 生物工程
    • 18 篇 控制科学与工程
    • 11 篇 电子科学与技术(可...
    • 11 篇 化学工程与技术
    • 10 篇 光学工程
    • 10 篇 电气工程
    • 7 篇 交通运输工程
    • 7 篇 网络空间安全
    • 6 篇 生物医学工程(可授...
    • 5 篇 机械工程
    • 4 篇 安全科学与工程
  • 131 篇 理学
    • 76 篇 数学
    • 36 篇 生物学
    • 27 篇 统计学(可授理学、...
    • 26 篇 物理学
    • 10 篇 化学
    • 8 篇 系统科学
  • 105 篇 管理学
    • 81 篇 图书情报与档案管...
    • 26 篇 管理科学与工程(可...
    • 11 篇 工商管理
  • 12 篇 法学
    • 10 篇 社会学
  • 5 篇 经济学
    • 5 篇 应用经济学
  • 5 篇 医学
    • 4 篇 基础医学(可授医学...
  • 3 篇 教育学
    • 3 篇 教育学
  • 3 篇 文学
    • 3 篇 中国语言文学
    • 3 篇 外国语言文学

主题

  • 19 篇 semantics
  • 13 篇 deep learning
  • 11 篇 knowledge graph
  • 11 篇 graph neural net...
  • 10 篇 information retr...
  • 9 篇 convolution
  • 8 篇 generative adver...
  • 8 篇 forecasting
  • 8 篇 training
  • 7 篇 machine learning
  • 6 篇 learning systems
  • 6 篇 computational mo...
  • 6 篇 feature extracti...
  • 5 篇 conferences
  • 5 篇 deep neural netw...
  • 5 篇 signal encoding
  • 5 篇 computational li...
  • 5 篇 natural language...
  • 4 篇 surveys
  • 4 篇 computer archite...

机构

  • 127 篇 university of ch...
  • 80 篇 cas key lab of n...
  • 62 篇 cas key laborato...
  • 23 篇 school of comput...
  • 17 篇 data intelligenc...
  • 12 篇 institute for ai...
  • 11 篇 institute of com...
  • 10 篇 key lab. of inte...
  • 10 篇 state key lab of...
  • 9 篇 school of comput...
  • 9 篇 key laboratory o...
  • 7 篇 key lab of intel...
  • 7 篇 peng cheng labor...
  • 7 篇 school of cyber ...
  • 6 篇 data intelligenc...
  • 6 篇 semiconductor ne...
  • 6 篇 alibaba group
  • 5 篇 data intelligenc...
  • 5 篇 institute of inf...
  • 5 篇 key laboratory o...

作者

  • 134 篇 cheng xueqi
  • 103 篇 guo jiafeng
  • 48 篇 lan yanyan
  • 40 篇 shen huawei
  • 35 篇 fan yixing
  • 30 篇 pang liang
  • 28 篇 jin xiaolong
  • 28 篇 zhang ruqing
  • 22 篇 cao qi
  • 18 篇 xu jun
  • 17 篇 guan saiping
  • 17 篇 bai long
  • 16 篇 li zixuan
  • 13 篇 xueqi cheng
  • 13 篇 sun xiaoming
  • 10 篇 hou liang
  • 9 篇 huang qingming
  • 9 篇 huang junjie
  • 9 篇 chen wei
  • 8 篇 liu shenghua

语言

  • 350 篇 英文
  • 17 篇 其他
  • 2 篇 中文
检索条件"机构=CAS Key Lab of Network Data Science and Technology Institute of Computing Technology"
369 条 记 录,以下是181-190 订阅
排序:
Conditional GANs with Auxiliary Discriminative Classifier
arXiv
收藏 引用
arXiv 2021年
作者: Hou, Liang Cao, Qi Shen, Huawei Pan, Siyuan Li, Xiaoshuang Cheng, Xueqi Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Shanghai Jiao Tong University Shanghai China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Conditional generative models aim to learn the underlying joint distribution of data and labels to achieve conditional data generation. Among them, the auxiliary classifier generative adversarial network (AC-GAN) has ... 详细信息
来源: 评论
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention network
arXiv
收藏 引用
arXiv 2021年
作者: Fang, Yuchen Qin, Yanjun Luo, Haiyong Zhao, Fang Xu, Bingbing Wang, Chenxing Zeng, Liang School of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications China Research Center for Ubiquitous Computing Systems Institute of Computing Technology Chinese Academy of Sciences China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China Tsinghua University China
Traffic forecasting is crucial for public safety and resource optimization, yet is very challenging due to three aspects: i) current existing works mostly exploit intricate temporal patterns (e.g., the short-term thun... 详细信息
来源: 评论
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
arXiv
收藏 引用
arXiv 2022年
作者: Bao, Shilong Xu, Qianqian Yang, Zhiyong He, Yuan Cao, Xiaochun Huang, Qingming State Key Laboratory of Information Security Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Alibaba Group China School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University China Key Laboratory of Big Data Mining and Knowledge Management CAS China Peng Cheng Laboratory China
Collaborative Metric Learning (CML) has recently emerged as a popular method in recommendation systems (RS), closing the gap between metric learning and Collaborative Filtering. Following the convention of RS, existin... 详细信息
来源: 评论
Modeling topical relevance for multi-turn dialogue generation
arXiv
收藏 引用
arXiv 2020年
作者: Zhang, Hainan Lan, Yanyan Pang, Liang Chen, Hongshen Ding, Zhuoye Yin, Dawei CAS Key Lab of Network Data Science and Technology Institute of Computing Technology CAS China *** Beijing China University of Chinese Academy of Sciences China
Topic drift is a common phenomenon in multi-turn dialogue. Therefore, an ideal dialogue generation models should be able to capture the topic information of each context, detect the relevant context, and produce appro... 详细信息
来源: 评论
Semantic models for the first-stage retrieval: a comprehensive review
arXiv
收藏 引用
arXiv 2021年
作者: Guo, Jiafeng Cai, Yinqiong Fan, Yixing Sun, Fei Zhang, Ruqing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences NO. 6 Kexueyuan South Road Haidian District Beijing100190 China Alibaba Group Beijing100102 China
Multi-stage ranking pipelines have been a practical solution in modern search systems, where the first-stage retrieval is to return a subset of candidate documents, and latter stages attempt to re-rank those candidate... 详细信息
来源: 评论
Trusted Clustering Based Federated Learning in Edge networks
收藏 引用
IEEE Transactions on Mobile computing 2025年
作者: Liu, Yi-Jing Zhang, Long Li, Xiaoqian Du, Hongyang Feng, Gang Qin, Shuang Wang, Jiacheng University of Electronic Science and Technology of China National Key Lab on Wireless Communications Chengdu China Tsinghua University Sichuan Energy Internet Research Institute Chengdu China University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong Nanyang Technological University College of Computing and Data Science Singapore
Federated learning (FL) is integral to advancing edge intelligence by enabling collaborative machine learning. In FL-empowered edge networks, computing nodes first train local models and then send them to an or multip... 详细信息
来源: 评论
ICTNET at TREC 2019 Deep Learning Track  28
ICTNET at TREC 2019 Deep Learning Track
收藏 引用
28th Text REtrieval Conference, TREC 2019
作者: 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 participated in the Deep Learning Track at TREC 2019. We built a ranking system which combines a search component based on BM25 and a semantic matching component using pretraining knowledge. Our best run achieves N... 详细信息
来源: 评论
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
Interpreting dense retrieval as mixture of topics
arXiv
收藏 引用
arXiv 2021年
作者: Zhan, Jingtao Mao, Jiaxin Liu, Yiqun Guo, Jiafeng Zhang, Min Ma, Shaoping Department of Computer Science and Technology Institute for Artificial Intelligence Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Beijing Key Laboratory of Big Data Management and Analysis Methods Gaoling School of Artificial Intelligence Renmin University of China Beijing100872 China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Dense Retrieval (DR) reaches state-of-the-art results in first-stage retrieval, but little is known about the mechanisms that contribute to its success. Therefore, in this work, we conduct an interpretation study of r... 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