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Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载:138/42  |  提交时间:2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:  Wang, Xiaona;  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载:95/0  |  提交时间:2023/03/20
Muscles  Recurrent neural networks  Mathematical models  Bio-inspired control  Robot kinematics  Tendons  Musculoskeletal system  Biologically inspired control  motor cortex  movement preparation  musculoskeletal system  recurrent neural network (RNN)  
Multi-level semantic fusion network for Chinese medical named entity recognition 期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 133, 页码: 8
作者:  Shi, Jintong;  Sun, Mengxuan;  Sun, Zhengya;  Li, Mingda;  Gu, Yifan;  Zhang, Wensheng
收藏  |  浏览/下载:152/0  |  提交时间:2023/01/09
Medical named entity recognition  Multi-level semantic fusion  Syntactic dependency parsing  Graph neural network  
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks 期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 59-68
作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1054Kb)  |  收藏  |  浏览/下载:230/27  |  提交时间:2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载:218/26  |  提交时间:2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:227/27  |  提交时间:2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
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:197/0  |  提交时间:2022/07/25
False news  fake news  wisdom of crowds  hybrid intelligence  graphical model  
Motor-Cortex-Like Recurrent Neural Network and Multitask Learning for the Control of Musculoskeletal Systems 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 2, 页码: 424-436
作者:  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载:168/0  |  提交时间:2022/07/25
Muscles  Musculoskeletal system  Robots  Statistics  Sociology  Recurrent neural networks  Neurons  Biologically inspired  motor cortex  muscle synergy  musculoskeletal system  neuromuscular control  recurrent neural network (RNN)  
Self-Supervised Contact Geometry Learning by GelStereo Visuotactile Sensing 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 9
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Zhang, Chaofan;  Chen, Lipeng;  Wang, Shuo
Adobe PDF(1925Kb)  |  收藏  |  浏览/下载:573/298  |  提交时间:2022/06/06
Geometry  Sensors  Three-dimensional displays  Estimation  Image reconstruction  Tactile sensors  Color  Depth estimation  robotic sensing systems  self-supervised learning  tactile sensors  
Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1020-1030
作者:  Zuo, Yukun;  Yao, Hantao;  Zhuang, Liansheng;  Xu, Changsheng
收藏  |  浏览/下载:222/0  |  提交时间:2022/06/06
Noise measurement  Adaptation models  Predictive models  Reliability  Task analysis  Standards  Data models  Noisy domain adaptation  Seek common ground component  Reserve differences component