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Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
收藏  |  浏览/下载：201/0  |  提交时间：2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation 会议论文
, 中国成都, 2021.10.20-24
作者:  Zhou, Yan-Jie;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(2606Kb)  |  收藏  |  浏览/下载：215/38  |  提交时间：2022/06/14
neural networks  instrument segmentation  multi-task learning  
Exploring wav2vec 2.0 on speaker verification and language identification 会议论文
, 线上会议, 2021-8-30
作者:  Fan ZY(范志赟);  Li M(李蒙);  Zhou SY(周世玉);  Xu B(徐波)
Adobe PDF(2081Kb)  |  收藏  |  浏览/下载：165/31  |  提交时间：2022/09/17
self-supervised  speaker verification  language identification  multi-task learning  wav2vec 2.0  
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Chai, Jiajun;  Li, Weifan;  Zhu, Yuanheng;  Zhao, Dongbin;  Ma, Zhe;  Sun, Kewu;  Ding, Jishiyu
Adobe PDF(3402Kb)  |  收藏  |  浏览/下载：233/24  |  提交时间：2022/01/27
Multi-agent systems  Training  Task analysis  Reinforcement learning  Sun  Learning systems  Semantics  Centralized training with decentralized execution (CTDE)  multiagent  reinforcement learning  StarCraft II  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：368/69  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Energy-efficient Collaborative Sensing: Learning the Latent Correlations of Heterogeneous Sensors 期刊论文
ACM TRANSACTIONS ON SENSOR NETWORKS, 2021, 卷号: 17, 期号: 3, 页码: 28
作者:  Liang, Yunji;  Wang, Xin;  Yu, Zhiwen;  Guo, Bin;  Zheng, Xiaolong;  Samtani, Sagar
收藏  |  浏览/下载：162/0  |  提交时间：2022/06/10
Energy efficiency  latent correlation learning  collaboration sensing  internet of things  temporal convolutional network  attention mechanism  multi-task learning  
Multi -task contrastive learning for automatic CT and X-ray diagnosis of COVID-19 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 114, 页码: 12
作者:  Li, Jinpeng;  Zhao, Gangming;  Tao, Yaling;  Zhai, Penghua;  Chen, Hao;  He, Huiguang;  Cai, Ting
收藏  |  浏览/下载：265/0  |  提交时间：2021/05/06
Computed tomography  X-ray  COVID-19  Deep learning  Multi-task learning  Contrastive learning  
A loss-balanced multi-task model for simultaneous detection and segmentation 期刊论文
NEUROCOMPUTING, 2021, 卷号: 428, 页码: 65-78
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Wang, Yutong;  Yan, Lan;  Wang, Fei-Yue
收藏  |  浏览/下载：247/0  |  提交时间：2021/03/15
Object detection  Semantic segmentation  Multi-task learning  Scene understanding  
Density-Aware Multi-Task Learning for Crowd Counting 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 443-453
作者:  Jiang, Xiaoheng;  Zhang, Li;  Zhang, Tianzhu;  Lv, Pei;  Zhou, Bing;  Pang, Yanwei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载：265/0  |  提交时间：2021/03/08
Task analysis  Semantics  Estimation  Feature extraction  Convolutional neural networks  Cameras  Head  Convolutional neural network  crowd counting  density-level classification  density map estimation  multi-task learning  
Medical Term and Status Generation From Chinese Clinical Dialogue With Multi-Granularity Transformer 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 页码: 3362-3374
作者:  Li, Mei;  Xiang, Lu;  Kang, Xiaomian;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(3036Kb)  |  收藏  |  浏览/下载：265/57  |  提交时间：2021/12/28
Medical diagnostic imaging  Transformers  Task analysis  Medical services  Computational modeling  Semantics  Data mining  Medical dialogue  multi-granularity  attention mechanism  natural language understanding  sequence to sequence learning