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BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
收藏  |  浏览/下载：138/0  |  提交时间：2023/12/21
Alzheimer's disease (AD)  cognitive assessment  convolutional neural networks (CNNs)  graph neural networks  structural magnetic resonance imaging (sMRI)  
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Li, Zhikai;  Chen, Mengjuan;  Xiao, Junrui;  Gu, Qingyi
收藏  |  浏览/下载：48/0  |  提交时间：2023/11/17
Data-free quantization  model compression  patch similarity  quantized vision transformers (ViTs)  
A Spatiotemporal Hybrid Model for Airspace Complexity Prediction 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 页码: 8
作者:  Du, Wenbo;  Li, Biyue;  Chen, Jun;  Lv, Yisheng;  Li, Yumeng
收藏  |  浏览/下载：170/0  |  提交时间：2022/11/14
Complexity theory  Atmospheric modeling  Spatiotemporal phenomena  Predictive models  Deep learning  Correlation  Air traffic control  
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan'an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
收藏  |  浏览/下载：394/0  |  提交时间：2022/09/19
Magnetic resonance imaging  Generative adversarial networks  Task analysis  Three-dimensional displays  Training  Generators  Data models  Alzheimer's disease  magnetic resonance imaging  generative adversarial network  
COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA 期刊论文
MIS QUARTERLY, 2022, 卷号: 46, 期号: 2, 页码: 977-1008
作者:  Wei, Xuan;  Zhang, Zhu;  Zhang, Mingyue;  Chen, Weiyun;  Zeng, Daniel Dajun
收藏  |  浏览/下载：186/0  |  提交时间：2022/07/25
False news  fake news  wisdom of crowds  hybrid intelligence  graphical model  
Decoupled Metric Network for Single-Stage Few-Shot Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Lu, Yue;  Chen, Xingyu;  Wu, Zhengxing;  Yu, Junzhi
Adobe PDF(306Kb)  |  收藏  |  浏览/下载：307/40  |  提交时间：2022/06/06
Object detection  Feature extraction  Training  Head  Task analysis  Shape  Measurement  Computer vision  deep learning  few-shot learning  object detection  
Structure transforming for constructing constraint force field in musculoskeletal robot 期刊论文
ASSEMBLY AUTOMATION, 2021, 页码: 12
作者:  Zhong, Shanlin;  Chen, Ziyu;  Zhou, Junjie
Adobe PDF(2152Kb)  |  收藏  |  浏览/下载：304/57  |  提交时间：2021/12/28
High precision  Attractive region in environment  Constraint force field  Musculoskeletal robot  
A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2021, 页码: 16
作者:  Wei, Qinglai;  Liu, Yujia;  Lu, Jingwei;  Ling, Jun;  Luan, Zhenhua;  Chen, Mingliang
收藏  |  浏览/下载：152/0  |  提交时间：2021/12/28
adaptive dynamic programming  boiler-turbine system  integral reinforcement learning  neural network  policy iteration  
Analyzing the co-movement and its spatial-temporal patterns in Chinese stock market 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 555, 页码: 14
作者:  Chen, Hanxiao;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：195/0  |  提交时间：2020/07/20
Stock co-movement  Spatial-temporal patterns  Triangulated Maximally  Filtered Graph  Exponential weighted Pearson correlation  
Analyzing the co-movement and its spatial-temporal patterns in Chinese stock market 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 555, 页码: 14
作者:  Chen, Hanxiao;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：201/0  |  提交时间：2020/07/20
Stock co-movement  Spatial-temporal patterns  Triangulated Maximally  Filtered Graph  Exponential weighted Pearson correlation