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Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 卷号: 23, 期号: 2, 页码: 1-19
作者:  Zhao Yang;  Yuanzhe Zhang;  Dianbo Sui;  Yiming Ju;  Jun Zhao;  Kang Liu
Adobe PDF(1250Kb)  |  收藏  |  浏览/下载：43/15  |  提交时间：2024/05/30
Explanation  knowledge distillation  model compression  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12
作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang;  Wang, Yulin
收藏  |  浏览/下载：68/0  |  提交时间：2024/03/27
Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning  
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 3488-3498
作者:  Lu, Jinliang;  Zhang, Jiajun
Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：154/11  |  提交时间：2023/12/21
Machine Translation  Multi-domain  Mixture-of-expert  
CeLNet: a correlation-enhanced lightweight network for medical image segmentation 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 11, 页码: 14
作者:  Zhang, Bangze;  Wang, Xiaoyan;  Liu, Lianggui;  Zhang, Denghui;  Huang, Xiaojie;  Xia, Ming;  Jiang, Weiwei;  Huang, Xiangsheng
收藏  |  浏览/下载：100/0  |  提交时间：2023/11/17
medical image  multi-slice  segmentation  lightweight  contextual learning  
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 页码: 10
作者:  Wang, Jiaxing;  Shi, Lei;  Wang, Weiqun;  Hou, Zeng-Guang
收藏  |  浏览/下载：241/0  |  提交时间：2022/06/06
Electroencephalography  Decoding  Brain modeling  Computational modeling  Optimized production technology  Feature extraction  Data models  Channel selection  channel transformation  brain decoding  computational cost  classification accuracy  
From general to specific: Online updating for blind super-resolution 期刊论文
Pattern Recognition, 2022, 卷号: 127, 期号: 2022, 页码: 108613
作者:  Li, Shang;  Zhang, Guixuan;  Luo, Zhengxiong;  Liu, Jie;  Zeng, Zhi;  Zhang, Shuwu
Adobe PDF(4880Kb)  |  收藏  |  浏览/下载：334/93  |  提交时间：2022/04/06
Blind super-resolution  Online updating  Internal learning  External learning  
Hardware-Oriented Algorithm for High-Speed Laser Centerline Extraction Based on Hessian Matrix 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 14
作者:  Li, Zhikai;  Ma, Liping;  Long, Xianlei;  Chen, Yunze;  Deng, Haitao;  Yan, Fengxia;  Gu, Qingyi
Adobe PDF(3764Kb)  |  收藏  |  浏览/下载：320/48  |  提交时间：2022/03/17
Hardware image processing  Hessian matrix  high-speed vision  laser centerline extraction  line-section 3-D reconstruction  
Cross-Modality Synergy Network for Referring Expression Comprehension and Segmentation 期刊论文
Neurocomputing, 2022, 卷号: 467, 期号: /, 页码: 99-114
作者:  Li, Qianzhong;  Zhang, Yujia;  Sun, Shiying;  Wu, Jinting;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(4555Kb)  |  收藏  |  浏览/下载：352/56  |  提交时间：2021/12/28
Referring expression comprehension  Referring expression segmentation  Cross-modality synergy  Attention mechanism  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：321/44  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning