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CASIA OpenIR

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PMWorld: A Parallel Testing Platform for Autonomous Driving in Mines 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1402-1411
作者:  Ai, Yunfeng;  Liu, Yuhang;  Gao, Yu;  Zhao, Chen;  Cheng, Xiang;  Han, Jinpeng;  Tian, Bin;  Chen, Long;  Wang, Fei-Yue
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/22
Testing  Autonomous vehicles  Processor scheduling  Digital twins  Computational modeling  Games  Engines  PMWorld (parallel mines world)  parallel testing  mining autonomous driving  
Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4254-4258
作者:  Wu, Wansen;  Yang, Weiyi;  Li, Juanjuan;  Zhao, Yong;  Zhu, Zhengqiu;  Chen, Bin;  Qiu, Sihang;  Peng, Yong;  Wang, Fei-Yue
收藏  |  浏览/下载：21/0  |  提交时间：2024/07/03
Crowdsensing  Sensors  Task analysis  Robot sensing systems  Decentralized autonomous organization  Automation  Artificial intelligence  Cyber-physical-social systems (CPSS)  crowdsensing intelligence (CSI)  autonomous crowdsensing  
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：58/12  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
Large-scale continual learning for ancient Chinese character recognition 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 150, 页码: 15
作者:  Xu, Yue;  Zhang, Xu-Yao;  Zhang, Zhaoxiang;  Liu, Cheng-Lin
收藏  |  浏览/下载：35/0  |  提交时间：2024/05/30
Continual learning  Class-incremental learning  Convolutional prototype network  Character recognition  Ancient Chinese characters  
Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology 期刊论文
Science Bulletin, 2024, 页码: 1
作者:  Lu YH(陆玉恒);  Cui Y(崔玥);  Cao L(曹龙);  Dong ZW(董振伟);  Cheng LQ(程禄祺);  Wu W(吴雯);  Wang CS(王昌硕);  Liu XY(刘新异);  Liu YT(刘友通);  Zhang BG(张宝贵);  Li DY(李德莹);  Zhao BK(赵舶凯);  Wang HY(王海艳);  Li KX(李开心);  Ma L(马亮);  Shi WY(时维阳);  Li W(李雯);  Hou XX(侯肖逍);  Han JL(韩景路);  Sun HJ(孙洪吉);  Cai T(蔡涛);  Peng Q(彭强);  Feng LQ(冯琳清);  Wang JJ(王骄健);  George Paxinos;  Yang ZY(杨正宜);  Fan LZ(樊令仲);  Jiang TZ(蒋田仔)
Adobe PDF(5735Kb)  |  收藏  |  浏览/下载：44/14  |  提交时间：2024/05/28
Parallel Learning Based Foundation Model for Networked Traffic Signal Control 会议论文
, Bilbao, Bizkaia, Spain, 2022-9-24
作者:  Zhao, Chen;  Dai, Xingyuan;  Chen, Yuanyuan;  Yilun, Lin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1112Kb)  |  收藏  |  浏览/下载：45/18  |  提交时间：2024/05/28
Learning Transformer-based Cooperation for Networked Traffic Signal Control 会议论文
, Macau, China, 2022-10
作者:  Zhao, Chen;  Dai, Xingyuan;  Wang, Xiao;  Li, Lingxi;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：58/20  |  提交时间：2024/05/28
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 6, 页码: 77-82
作者:  Zhao, Chen;  Dai, Xingyuan;  Yisheng Lv;  Tian, Yonglin;  Ren, Yuhai;  Wang, Fei-Yue
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载：45/13  |  提交时间：2024/05/28
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond 期刊论文
IEEE Intelligent Transportation Systems Magazine, 2022, 卷号: 14, 期号: 6, 页码: 6-17
作者:  Zhao, Chen;  Lv, Yisheng;  Jin, Junchen;  Tian, Yonglin;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(2979Kb)  |  收藏  |  浏览/下载：54/18  |  提交时间：2024/05/28
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：57/21  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox