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An IoT Edge Computing System Architecture and its Application 会议论文
, Nanjing, China, Oct. 30 – Nov.2, 2020.
作者:  Shichao Chen;  Qijie Li;  Hua Zhang;  fenghua.zhu@ia.ac.cn;  Gang Xiong;  Ying Tang
Adobe PDF(4370Kb)  |  收藏  |  浏览/下载：212/73  |  提交时间：2022/04/08
IoT  Edge computing  Energy monitoring and optimization Introduction  
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, 20-23 Sept. 2020
作者:  Wei, Zhang;  Fenghua, Zhu;  Yuanyuan, Chen;  Xiao, Wang;  Gang, Xiong;  Fei-Yue, Wang
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：256/63  |  提交时间：2021/05/27
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, September 20-23, 2020
作者:  Wei Zhang;  Fenghua Zhu;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
Adobe PDF(801Kb)  |  收藏  |  浏览/下载：293/90  |  提交时间：2020/10/20
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:  Zhang, Fengyi;  Liu, Zhiyong;  Xiong, Fangzhou;  Su, Jianhua;  Qiao, Hong
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：332/48  |  提交时间：2020/07/20
Skill transfer learning  Serial structures  Robot skill learning  Graph Neural Network  
Deep Neural Network Based Machine Translation System Combination 期刊论文
ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), 2020, 期号: Accept, 页码: Accept
作者:  Zhou, Long;  Zhang, Jiajun;  Kang, Xiaomian;  Zong, Chengqing
浏览  |  Adobe PDF(2039Kb)  |  收藏  |  浏览/下载：244/81  |  提交时间：2020/06/23
DNN, SMT, NMT, system combination, minimal bayes-risk decoding, low-resource translation  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：366/65  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning