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CASIA OpenIR
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Asynchronous Threshold ECDSA With Batch Processing 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 10
作者:  Zhang, Hongxin;  Xie, Guanghuan;  Zou, Xin;  Zhang, Chi;  Li, Zhuo;  Qin, Rui;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：104/0  |  提交时间：2023/03/20
Protocols  Peer-to-peer computing  Batch production systems  Digital signatures  Blockchains  Electronic mail  Urban areas  Blockchain  crypto-asset custody  secure multiparty computation (MPC)  threshold signature  
Geometry Problem Solving Based on Counter-factual Evolutionary Reasoning 会议论文
, New Zealand, 2023
作者:  Song B(宋冰);  Xiong G(熊刚);  Shen Z(沈震);  Zhu F(朱凤华);  Lv Y（吕宜生）;  Ye P（叶佩军）
Adobe PDF(1318Kb)  |  收藏  |  浏览/下载：159/71  |  提交时间：2023/06/26
A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Lv, Yisheng;  Anwar, Noreen;  Wang, Fei-Yue
收藏  |  浏览/下载：181/0  |  提交时间：2022/07/25
GPS trajectory  human mobility  semi-supervised learning  transportation mode detection (TMD)  
Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform 期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 3, 页码: 968-982
作者:  Tamir, Tariku Sinshaw;  Xiong,Gang;  Dong,Xisong;  Fang,Qihang;  Liu,Sheng;  Lodhi,Ehtisham;  Shen,Zhen;  Wang, Fei-Yue
Adobe PDF(3410Kb)  |  收藏  |  浏览/下载：328/152  |  提交时间：2022/04/07
Additive Manufacturing, Extended Proportion-Derivation Sliding Mode Controller, Grey Wolf Optimization, Print Quality, Stewart Platform  
A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 11
作者:  Ren, Lei;  Fan, Xiaoyang;  Cui, Jin;  Shen, Zhen;  Lv, Yisheng;  Xiong, Gang
收藏  |  浏览/下载：161/0  |  提交时间：2022/06/06
Reinforcement learning  Costs  Task analysis  Transportation  Optimization  Computational modeling  Vehicle routing  Vehicle routing  supply chain management  multi-agent reinforcement learning (MARL)  route recorder  
A Feedback-Based Print Quality Improving Strategy for FDM 3D Printing: An Optimal Design Approach 期刊论文
The International Journal of Advanced Manufacturing Technology, 2022, 期号: 2022, 页码: 1-15
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Fang,Qihang;  Dong,Xisong;  Shen,Zhen;  Wang,Fei-Yue
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：205/50  |  提交时间：2022/04/07
Industry4.0, 3D Printing, Print Quality, Error Causing Parameters, Deformations, Fuzzy Inference System  
Correlation analysis and text classification of chemical accident cases based on word embedding 期刊论文
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 卷号: 158, 页码: 698-710
作者:  Jing, Sifeng;  Liu, Xiwei;  Gong, Xiaoyan;  Tang, Ying;  Xiong, Gang;  Liu, Sheng;  Xiang, Shuguang;  Bi, Rongshan
Adobe PDF(7149Kb)  |  收藏  |  浏览/下载：293/58  |  提交时间：2022/03/17
Text mining  Correlation analysis  Text classification  Word embedding  Deep learning  Chemical accident cases  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载：107/20  |  提交时间：2023/06/27
A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing 会议论文
, 成都希尔顿酒店, 2022年8月
作者:  Zhao, Meihua;  Xiong, Gang;  Wang, Weixing;  Fang, Qihang;  Shen, Zhen;  Wan, Li;  Zhu, Fenghua
Adobe PDF(1495Kb)  |  收藏  |  浏览/下载：95/27  |  提交时间：2023/06/27
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
作者:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载：351/62  |  提交时间：2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream