机构

• 自动化研究所 [8]
• 西安光学精密机械研究... [8]
• 海洋研究所 [6]
• 苏州纳米技术与纳米仿... [4]
• 化学研究所 [2]
• 沈阳自动化研究所 [2]
• 更多

采集方式

• OAI收割 [32]

内容类型

• 期刊论文 [22]
• 专利 [7]
• CNKI期刊论文 [3]

发表日期

• 2024 [4]
• 2023 [2]
• 2022 [4]
• 2020 [1]
• 2019 [3]
• 2018 [6]
• 更多

学科主题

• B41f33/00 [1]
• 物理科学和化学 [1]

筛选

浏览/检索结果: 共32条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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发表日期升序发表日期降序 Connectional-style-guided contextual representation learning for brain disease diagnosis 期刊论文  OAI收割 NEURAL NETWORKS, 2024, 卷号: 175, 页码: 14 作者:  Wang, Gongshu;  Jiang, Ning;  Ma, Yunxiao;  Chen, Duanduan;  Wu, Jinglong   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/07/04 Transformers  Brain disease diagnosis  Self-supervised  MRI   Spatio-temporal fusion graph convolutional network for traffic flow forecasting 期刊论文  OAI收割 INFORMATION FUSION, 2024, 卷号: 104, 页码: 11 作者:  Ma, Ying;  Lou, Haijie;  Yan, Ming;  Sun, Fanghui;  Li, Guoqi   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/02/22 Graph convolutional network  Spatio-temporal data  Traffic forecasting   Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024, 页码: 16 作者:  Yang, Yukuan;  Fan, Qihang;  Yan, Tianyi;  Pei, Jing;  Li, Guoqi   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/07/03 Multicore processing  Optimization  System recovery  Throughput  Neuromorphics  Hardware  Costs  Network group partition  core placement optimization  neuromorphic chips  multi-core and multi-chip systems   Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024, 页码: 12 作者:  Ma, Ying;  Zou, Xiaoyan;  Pan, Qizheng;  Yan, Ming;  Li, Guoqi   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/07/03 Multi-label classification  knowledge distillation  autoencoder  label embedding   Natural mollusk shells as a potential dental material 期刊论文  OAI收割 JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2023, 卷号: 25, 页码: 5196-5209 作者:  Yan, Jiao;  Deng, Jingjing;  Jiao, Da;  Tan, Guoqi;  Wang, Qiang   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/07 Dental materials  Mollusk shell  Biocompatibility  Fracture toughness  Antifungal properties   Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 卷号: 31, 页码: 2688-2697 作者:  Yan, Tianyi;  Wang, Gongshu;  Liu, Tiantian;  Li, Guoqi;  Wang, Changming   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Dynamic brain network  information interaction  microstates  resting-state EEG  schizophrenia stages   Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization 期刊论文  OAI收割 NEUROCOMPUTING, 2022, 卷号: 511, 页码: 175-186 作者:  Yang, Yukuan;  Chi, Xiaowei;  Deng, Lei;  Yan, Tianyi;  Gao, Feng   |  收藏  |  浏览/下载：46/0  |  提交时间：2022/11/21 Full 8-bit quantization  Network without batch normalization  Small batch  Online training  Resource-limited devices   General spiking neural network framework for the learning trajectory from a noisy mmWave radar 期刊论文  OAI收割 Neuromorphic Computing and Engineering, 2022, 卷号: 2, 期号: 3 作者:  Liu,Xin;  Yan,Mingyu;  Deng,Lei;  Wu,Yujie;  Han,De   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/05/31 millimeter wave radar  spiking neural networks  attention mechanism  model robustness  trajectory estimation   Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/06/21 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method   Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/11/03 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method