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CASIA OpenIR
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3D printing in materials manufacturing industry: A realm of Industry 4.0 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 9, 页码: 20
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Shen, Zhen;  Leng, Jiewu;  Fang, Qihang;  Yang, Yong;  Jiang, Jingchao;  Lodhi, Ehtisham;  Wang, Fei-Yue
收藏  |  浏览/下载：51/0  |  提交时间：2024/02/21
3D printing  Additive manufacturing  Closed-loop control  Machine learning  Industry 4.0  
DAO to Hanoi via DeSci: AI Paradigm Shift from AlphaGo to ChatGPT 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 877-897
作者:  Miao, Qinghai (proxy) (contact);  Zheng, Wenbo;  吕, 宜生;  Huang, Min;  Ding, Wenwen;  Wang, Fei-Yue
Adobe PDF(4968Kb)  |  收藏  |  浏览/下载：211/62  |  提交时间：2023/03/22
ChatGPT, decentralized science (DeSci)  decentralized autonomous organization (DAO)  machine learning  paradigm shift  
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 603-631
作者:  Qinghai Miao;  Yisheng Lv;  Min Huang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载：777/144  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
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：194/0  |  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  
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 21, 页码: 15884-15891
作者:  Zhang, Weishan;  Zhou, Tao;  Lu, Qinghua;  Wang, Xiao;  Zhu, Chunsheng;  Sun, Haoyun;  Wang, Zhipeng;  Lo, Sin Kit;  Wang, Fei-Yue
收藏  |  浏览/下载：200/0  |  提交时间：2022/01/27
Data models  COVID-19  Training  Collaborative work  Analytical models  Servers  Predictive models  AI  COVID-19  CT  federated learning  image processing  machine learning  X-Ray  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载：211/0  |  提交时间：2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：175/0  |  提交时间：2022/01/27
Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling  
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 期号: 2021, 页码: 94-103
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Wang, Fei-Yue
Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：268/33  |  提交时间：2021/03/29
3D object reconstruction  Encoder-decoder network  Machine learning  Point prediction network  
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue
收藏  |  浏览/下载：204/0  |  提交时间：2021/01/06
Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence  
Parallel Building: A Complex System Approach for Smart Building Energy Management 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 卷号: 6, 期号: 6, 页码: 1452-1461
作者:  Almalaq, Abdulaziz;  Hao, Jun;  Zhang, Jun Jason;  Wang, Fei-Yue
收藏  |  浏览/下载：220/0  |  提交时间：2020/03/30
ACP theory  artificial intelligence  data acquisition  deep learning (DL)  energy consumption  machine learning  parallel energy prediction  prediction algorithms  smart grid