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CASIA OpenIR
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CFSL: A Credible Federated Self-Learning Framework 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 24, 页码: 21349-21362
作者:  Zhang, Weishan;  Bao, Zhicheng;  Liu, Yuru;  Xu, Liang;  Lu, Qinghua;  Ning, Huansheng;  Wang, Xiao;  Yang, Su;  Wang, Fei-Yue;  Li, Zengxiang
收藏  |  浏览/下载：14/0  |  提交时间：2024/03/26
Federated learning  Data models  Training  Internet of Things  Blockchains  Adaptation models  Smart contracts  Blockchain  consensus  federated learning  personalization  self-learning  
On Intelligent Mining With Parallel Intelligence 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4296-4300
作者:  Yang, Jianjian;  Huang, Qiankun;  Ge, Shirong;  Wang, Xiao;  Chen, Long;  Guo, Yinan;  Gui, Tianmu
收藏  |  浏览/下载：15/0  |  提交时间：2024/02/22
Data mining  Artificial intelligence  Task analysis  Industries  Production  Biology  Collaboration  Green mining  Industry 5.0  intelligent mining using parallel intelligence  Mining 5.0  mining MAPeM model  
Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting 期刊论文
DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 卷号: 9, 期号: 5, 页码: 1221-1229
作者:  Zhang, Weishan;  Chen, Xiao;  He, Ke;  Chen, Leiming;  Xu, Liang;  Wang, Xiao;  Yang, Su
收藏  |  浏览/下载：29/0  |  提交时间：2024/02/22
Photovoltaic power forecasting  Federated learning  Edge computing  CNN-LSTM  
The ChatGPT After: Building Knowledge Factories for Knowledge Workers with Knowledge Automation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2041-2044
作者:  Yutong Wang;  Xiao Wang;  Xingxia Wang;  Jing Yang;  Oliver Kwan;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(586Kb)  |  收藏  |  浏览/下载：69/26  |  提交时间：2023/09/22
DeFACT in ManuVerse for Parallel Manufacturing: Foundation Models and Parallel Workers in Smart Factories 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12
作者:  Yang, Jing;  Li, Shimeng;  Wang, Xiaoxing;  Lu, Jingwei;  Wu, Huaiyu;  Wang, Xiao
收藏  |  浏览/下载：196/0  |  提交时间：2023/02/22
Artificial systems  computational experiments  and parallel execution (ACP)  cyber-physical-social systems (CPSSs)  decentralized autonomous organization (DAO)  ManuVerse  parallel manufacturing  smart manufacturing  
Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 413-416
作者:  Ge, Shirong;  Wang, Fei-Yue;  Yang, Jianjian;  Ding, Zhen;  Wang, Xiao;  Li, Yuchen;  Teng, Siyu;  Liu, Zhongmin;  Ai, Yunfeng;  Chen, Long
收藏  |  浏览/下载：239/0  |  提交时间：2022/11/28
Autonomous vehicles  Standards  Production  Safety  Data mining  Transportation  Roads  Intelligent mining  parallel intelligence  parallel mining operation systems  autonomous transportation  smart mining standards  
Metaverses and DeMetaverses: From Digital Twins in CPS to Parallel Intelligence in CPSS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 4, 页码: 97-102
作者:  Wang, Xiao;  Yang, Jing;  Han, Jinpeng;  Wang, Wei;  Wang, Fei-Yue
收藏  |  浏览/下载：142/0  |  提交时间：2022/11/14
Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
作者:  Wang, Xiao;  Zhu, Yushan;  Han, Shuangshuang;  Yang, Linyao;  Gu, Haixia;  Wang, Fei-Yue
收藏  |  浏览/下载：214/0  |  提交时间：2022/06/06
Convolutional neural networks  Feature extraction  Machine learning algorithms  Deep learning  Global Positioning System  Scalability  Safety  Broad learning system (BLS)  incremental learning system  Internet of Vehicles (IoV)  misbehavior detection  ridge regression approximation  
Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 1, 页码: 7-10
作者:  Cao, Dongpu;  Wang, Xiao;  Li, Lingxi;  Lv, Chen;  Na, Xiaoxiang;  Xing, Yang;  Li, Xuan;  Li, Ying;  Chen, Yuanyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：205/0  |  提交时间：2022/06/10
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai;  Hou, Jiachen;  Xin, Kejun;  Wang, Fei-Yue
Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：268/42  |  提交时间：2022/03/17
Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning