机构

• 自动化研究所 [15]
• 地理科学与资源研究所 [8]
• 计算技术研究所 [3]
• 金属研究所 [2]
• 苏州纳米技术与纳米仿... [2]
• 地球化学研究所 [2]
• 更多

采集方式

• OAI收割 [39]

内容类型

• 期刊论文 [38]
• 会议论文 [1]

发表日期

• 2024 [3]
• 2023 [5]
• 2022 [8]
• 2021 [3]
• 2020 [3]
• 2019 [3]
• 更多

学科主题

• Biotechnol... [1]
• Genetics &... [1]
• 半导体器件 [1]

筛选

浏览/检索结果: 共39条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 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：15/0  |  提交时间：2024/02/22 Graph convolutional network  Spatio-temporal data  Traffic forecasting   Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 20 作者:  Zheng, Hanle;  Zheng, Zhong;  Hu, Rui;  Xiao, Bo;  Wu, Yujie   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/21 Target Controllability of Multiplex Networks With Weighted Interlayer Edges 期刊论文  OAI收割 IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 卷号: 11, 期号: 1, 页码: 313-325 作者:  Ding, Jie;  Zhang, Yaozhong;  Song, Kun;  Li, Guoqi;  Wang, Wei   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/26 Multiplex networks  weighted networks  target controllability  minimum cost max flow   Assessment of suitable areas for afforestation and its carbon sink value in fragile ecological areas of northern China 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 348, 页码: 15 作者:  Sun, Jianfeng;  Li, Guangdong;  Zhang, Ying;  Qin, Weishan;  Chai, Guoqi   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/12/22 Afforestation and reforestation  Climate change  Forest carbon sinks  Value accounting  Forest management   Spike Attention Coding for Spiking Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 7 作者:  Liu, Jiawen;  Hu, Yifan;  Li, Guoqi;  Pei, Jing;  Deng, Lei   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/11/16 Rate coding  spike attention coding (SAC)  spiking neural networks (SNNs)  temporal coding   Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 166, 页码: 410-423 作者:  Yao, Man;  Zhang, Hengyu;  Zhao, Guangshe;  Zhang, Xiyu;  Wang, Dingheng   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/11/16 Spiking neural network  Event-based vision  Neuromorphic computing  Attention mechanism  Brain-inspired computing   Attention Spiking Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9393-9410 作者:  Yao, Man;  Zhao, Guangshe;  Zhang, Hengyu;  Hu, Yifan;  Deng, Lei   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Attention mechanism  efficient neuromorphic inference  neuromorphic computing  spiking neural network   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：2/0  |  提交时间：2023/11/17 Dynamic brain network  information interaction  microstates  resting-state EEG  schizophrenia stages   Rethinking Pretraining as a Bridge From ANNs to SNNs 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14 作者:  Lin, Yihan;  Hu, Yifan;  Ma, Shijie;  Yu, Dongjie;  Li, Guoqi   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/03/20 Training  Task analysis  Neurons  Pipelines  Artificial neural networks  Feature extraction  Transfer learning  Event-driven dataset  neural network (NN) analysis  pretraining technique  spiking NN (SNN)  transfer learning   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：33/0  |  提交时间：2022/11/21 Full 8-bit quantization  Network without batch normalization  Small batch  Online training  Resource-limited devices