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A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction 会议论文
, Bratislava, Slovakia, 2021-09
作者:  Haoda Qian;  Qiudan Li;  Zaichuan Tang
Adobe PDF(79001Kb)  |  收藏  |  浏览/下载：379/134  |  提交时间：2022/06/14
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression 会议论文
, Tokyo, Japan (online), September 8-10, 2021
作者:  Deli, Yu;  Peipei, Yang;  Cheng-Lin, Liu
Adobe PDF(309Kb)  |  收藏  |  浏览/下载：368/72  |  提交时间：2021/07/01
low-rank decomposition  network compression  learning-based decomposition  adaptive rank penalty  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：361/50  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1271-1280
作者:  Long Sun;  Zhenbing Liu;  Xiyan Sun;  Licheng Liu;  Rushi Lan;  Xiaonan Luo
Adobe PDF(9334Kb)  |  收藏  |  浏览/下载：166/38  |  提交时间：2021/06/11
Convolutional neural network (CNN)  lightweight framework  multi-scale  super-resolution  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：462/88  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 547, 页码: 1025-1044
作者:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang
Adobe PDF(2428Kb)  |  收藏  |  浏览/下载：402/65  |  提交时间：2021/03/02
Data augmentation  Semantic decoding  Multi-view adversarial learning  Sparse reconstruction relation