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Resistive memory-based zero-shot liquid state machine for multimodal event data learning 期刊论文
NATURE COMPUTATIONAL SCIENCE, 2025, 卷号: 5, 期号: 1, 页码: 37-47
作者:  Lin, Ning;  Wang, Shaocong;  Li, Yi;  Wang, Bo;  Shi, Shuhui;  He, Yangu;  Zhang, Woyu;  Yu, Yifei;  Zhang, Yue;  Zhang, Xinyuan;  Wong, Kwunhang;  Wang, Songqi;  Chen, Xiaoming;  Jiang, Hao;  Zhang, Xumeng;  Lin, Peng;  Xu, Xiaoxin;  Qi, Xiaojuan;  Wang, Zhongrui;  Shang, Dashan;  Liu, Qi;  Liu, Ming
收藏  |  浏览/下载：5/0  |  提交时间：2025/06/25
Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging 期刊论文
BMC MEDICAL IMAGING, 2024, 卷号: 24, 期号: 1, 页码: 9
作者:  Zhang, Enlong;  Yao, Meiyi;  Li, Yuan;  Wang, Qizheng;  Song, Xinhang;  Chen, Yongye;  Liu, Ke;  Zhao, Weili;  Xing, Xiaoying;  Zhou, Yan;  Meng, Fanyu;  Ouyang, Hanqiang;  Chen, Gongwei;  Jiang, Liang;  Lang, Ning;  Jiang, Shuqiang;  Yuan, Huishu
收藏  |  浏览/下载：7/0  |  提交时间：2025/06/25
Deep learning  MRI  Cervical spinal stenosis  Convolutional neural network  
Fault-tolerant quantum chemical calculations with improved machine-learning models 期刊论文
JOURNAL OF COMPUTATIONAL CHEMISTRY, 2024, 页码: 19
作者:  Yuan, Kai;  Zhou, Shuai;  Li, Ning;  Li, Tianyan;  Ding, Bowen;  Guo, Danhuai;  Ma, Yingjin
收藏  |  浏览/下载：18/0  |  提交时间：2024/12/06
coded computing  exciton model  fragmented approach  interacting energy  load-balancing  
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 5, 页码: 4003-4010
作者:  Yang, Zejun;  Ning, Li;  Wang, Haitao;  Jiang, Tianyu;  Zhang, Shaolin;  Cui, Shaowei;  Jiang, Hao;  Li, Chunpeng;  Wang, Shuo;  Wang, Zhaoqi
收藏  |  浏览/下载：34/0  |  提交时间：2024/05/20
Planning under uncertainty  AI-based methods  learning from demonstration  
10-Million Atoms Simulation of First-Principle Package LS3DF 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2024, 卷号: 39, 期号: 1, 页码: 45-62
作者:  Yan, Yu-Jin;  Li, Hai-Bo;  Zhao, Tong;  Wang, Lin-Wang;  Shi, Lin;  Liu, Tao;  Tan, Guang-Ming;  Jia, Wei-Le;  Sun, Ning-Hui
收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06
single instruction multiple thread accelerator  electronic structure  high-performance computing  linearly scaling three-dimensional fragment (LS3DF)  
Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure 期刊论文
SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 15
作者:  Dong, Bowen;  Wang, Zhuo;  Li, Zhenyu;  Duan, Zhichao;  Xu, Jiacheng;  Pan, Tengyu;  Zhang, Rui;  Liu, Ning;  Li, Xiuxing;  Wang, Jie;  Liu, Caiyan;  Dong, Liling;  Mao, Chenhui;  Gao, Jing;  Wang, Jianyong
收藏  |  浏览/下载：43/0  |  提交时间：2023/12/04
BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning 期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 12
作者:  Liu, Hong;  Jiao, Meng-Lei;  Xing, Xiao-Ying;  Ou-Yang, Han-Qiang;  Yuan, Yuan;  Liu, Jian-Fang;  Li, Yuan;  Wang, Chun-Jie;  Lang, Ning;  Qian, Yue-Liang;  Jiang, Liang;  Yuan, Hui-Shu;  Wang, Xiang-Dong
收藏  |  浏览/下载：49/0  |  提交时间：2023/07/12
tumor classification  deep learning  multi-plane fusion  benign  malignant  
Resource Allocation and Computation Offloading in a Millimeter-Wave Train-Ground Network 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 10, 页码: 10615-10630
作者:  Li, Linqian;  Niu, Yong;  Mao, Shiwen;  Ai, Bo;  Zhong, Zhangdui;  Wang, Ning;  Chen, Yali
收藏  |  浏览/下载：34/0  |  提交时间：2023/07/12
Resource management  Task analysis  Rail transportation  Energy consumption  Communication systems  Broadband communication  Millimeter wave communication  Full-duplex (FD) communications  millimeter-wave (mmWave) communications  mobile edge computing (MEC)  resource allocation  train-ground communications  
Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：52/0  |  提交时间：2022/12/07
Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)  
Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI 期刊论文
INSIGHTS INTO IMAGING, 2022, 卷号: 13, 期号: 1, 页码: 11
作者:  Liu, Hong;  Jiao, Menglei;  Yuan, Yuan;  Ouyang, Hanqiang;  Liu, Jianfang;  Li, Yuan;  Wang, Chunjie;  Lang, Ning;  Qian, Yueliang;  Jiang, Liang;  Yuan, Huishu;  Wang, Xiangdong
收藏  |  浏览/下载：50/0  |  提交时间：2022/12/07
Spine tumor  Benign  Malignant  Deep learning  MRI