中国科学院计算技术研究所机构知识库

浏览/检索结果: 共6条，第1-6条

帮助

限定条件	资助项目：Beijing Academy of Artificial Intelligence (BAAI)

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Adversarial camouflage for node injection attack on graphs 期刊论文 INFORMATION SCIENCES, 2023, 卷号: 649, 页码: 14 作者:  Tao, Shuchang;  Cao, Qi;  Shen, Huawei;  Wu, Yunfan;  Hou, Liang;  Sun, Fei;  Cheng, Xueqi 收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04 Adversarial camouflage  Node injection attack  Adversarial attack  Graph neural networks
	Negative Can Be Positive: Signed Graph Neural Networks for Recommendation 期刊论文 INFORMATION PROCESSING & MANAGEMENT, 2023, 卷号: 60, 期号: 4, 页码: 14 作者:  Huang, Junjie;  Xie, Ruobing;  Cao, Qi;  Shen, Huawei;  Zhang, Shaoliang;  Xia, Feng;  Cheng, Xueqi 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Negative feedback  Signed social networks  Graph Neural Networks  Recommender system
	Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：30/0  |  提交时间：2022/06/21 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method
	A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21 作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji 收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01 Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis
	Swallow: A Versatile Accelerator for Sparse Neural Networks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4881-4893 作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Xu, Haobo 收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01 Accelerator  convolutional (Conv) layers  fully connected (FC) layers  sparse neural networks (SNNs)
	Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 11, 页码: 1596-1610 作者:  Cai, Yi;  Chen, Xiaoming;  Tian, Lu;  Wang, Yu;  Yang, Huazhong 收藏  |  浏览/下载：318/0  |  提交时间：2020/12/10 Artificial neural networks  Nonvolatile memory  Encryption  Computational modeling  Hardware  Non-volatile memory (NVM)  compute-in-memory (CIM)  neural network  security  encryption