机构

• 自动化研究所 [9]
• 地理科学与资源研究所 [2]
• 计算技术研究所 [1]
• 软件研究所 [1]

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [10]
• 会议论文 [2]
• 学位论文 [1]

发表日期

• 2025 [1]
• 2024 [2]
• 2023 [2]
• 2022 [2]
• 2021 [1]
• 2019 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共13条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion 期刊论文  OAI收割 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 卷号: 22, 期号: 4, 页码: 3646-3661 作者:  Zha, Chao;  Wang, Zhiyu;  Fan, Yifei;  Bai, Bing;  Zhang, Yinjie   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03 Feature extraction  Payloads  Network intrusion detection  Telecommunication traffic  Vectors  Graph neural networks  Radio frequency  Data mining  Training  Technological innovation  Intrusion detection  flow modal  payload modal  bilinear fusion  semantic   Prospects on mangrove knowledge services in the smart era: From plant atlas to knowledge graphs 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2024, 卷号: N/A, 页码: 17 作者:  Hou, Zhi-Wei;  Jing, Wenlong;  Qin, Cheng-Zhi;  Yang, Ji;  Xia, Qing   |  收藏  |  浏览/下载：66/0  |  提交时间：2025/02/06 Mangrove  Tupu  Knowledge graph  Multi-modal  Knowledge service   EvolveKG: a general framework to learn evolving knowledge graphs 期刊论文  OAI收割 FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 3, 页码: 17 作者:  Liu, Jiaqi;  Yu, Zhiwen;  Guo, Bin;  Deng, Cheng;  Fu, Luoyi   |  收藏  |  浏览/下载：110/0  |  提交时间：2024/03/04 knowledge graph  evolution  modal characterization  algorithmic implementation   Multi-modal fusion for robust hand gesture recognition based on heterogeneous networks 期刊论文  OAI收割 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 页码: 12 作者:  Zou, Yongxiang;  Cheng, Long;  Han, Lijun;  Li, Zhengwei   |  收藏  |  浏览/下载：68/0  |  提交时间：2023/11/16 leap motion  sEMG  multi-modal  graph neural network  hand gesture recognition   Multi-Source Knowledge Reasoning Graph Network for Multi-Modal Commonsense Inference 期刊论文  OAI收割 ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 4, 页码: 17 作者:  Ma, Xuan;  Yang, Xiaoshan;  Xu, Changsheng   |  收藏  |  浏览/下载：48/0  |  提交时间：2023/11/17 Knowledge reasoning  multi-modal commonsense inference  graph neural network   Learning Hierarchical Video Graph Networks for One-Stop Video Delivery 期刊论文  OAI收割 ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, 卷号: 18, 期号: 1, 页码: 1-23 作者:  Song, Yaguang;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng   |  收藏  |  浏览/下载：28/0  |  提交时间：2023/04/25 Cross modal  video retrieval  deep learning  graph neural networks   Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 805-818 作者:  Cai, Desheng;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng   |  收藏  |  浏览/下载：69/0  |  提交时间：2022/06/06 Graph neural networks  Task analysis  Semantics  Aggregates  Data structures  Collaboration  Visualization  Heterogeneous graph  micro-video recommendation  multi-modal   Learning Aligned Image-Text Representations Using Graph Attentive Relational Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 期号: 30, 页码: 1840-1852 作者:  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu   |  收藏  |  浏览/下载：42/0  |  提交时间：2021/03/08 Graph neural networks  Visualization  Semantics  Task analysis  Feature extraction  Annotations  Recurrent neural networks  Image-text matching  cross-modal retrieval  person search  graph neural network   Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection 会议论文  OAI收割 Nice, France, October 21 - 25, 2019 作者:  Huaiwen Zhang;  Quan Fang;  Shengsheng Qian;  Changsheng Xu   |  收藏  |  浏览/下载：65/0  |  提交时间：2021/06/30 Social Media  Rumor Detection  Multi-Modal  Knowledge Graph  Memory Network   Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks 会议论文  OAI收割 San Francisco, CA, USA, 2019-5-12 作者:  Zeyu Cui;  Zekun Li;  Shu Wu;  Xiaoyu Zhang;  Liang Wang   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/06/01 Graph neural networks  Compatibility learning  multi-modal