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A Correspondence Selection Method Based on Same Object and Same Position Constraints 期刊论文
Measure And Control, 2023, 页码: 1-12
作者:  Hongxuan Ma;  Ruxiang Hua;  Wei Zou;  Siyang Sun;  Daqi Huang
Adobe PDF(3547Kb)  |  收藏  |  浏览/下载：24/11  |  提交时间：2024/06/06
Correspondence selection  the same object constraint  the same position constraint  image processing  
Spatial-temporal knowledge graph network for event prediction 期刊论文
NEUROCOMPUTING, 2023, 卷号: 553, 页码: 11
作者:  Huai, Zepeng;  Zhang, Dawei;  Yang, Guohua;  Tao, Jianhua
收藏  |  浏览/下载：105/0  |  提交时间：2023/11/17
Multi -event prediction  Knowledge graph  Dynamic graph embedding  
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3692-3711
作者:  Teng, Siyu;  Hu, Xuemin;  Deng, Peng;  Li, Bai;  Li, Yuchen;  Ai, Yunfeng;  Yang, Dongsheng;  Li, Lingxi;  Xuanyuan, Zhe;  Zhu, Fenghua;  Chen, Long
收藏  |  浏览/下载：128/0  |  提交时间：2023/11/17
Motion planning  pipeline planning  end-to-end planning  imitation learning  reinforcement learning  parallel learning  
Parallel Emergency Management of Incidents by Integrating OODA and PREA Loops: The C2 Mechanism and Modes 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 53, 期号: 4, 页码: 2160-2172
作者:  Yang, Dongsheng;  Li, Qiang;  Zhu, Fenghua;  Cui, Huachao;  Yi, Wen;  Qin, Jirong
收藏  |  浏览/下载：115/0  |  提交时间：2023/11/17
Edge command and control (edge C2)  incident C2  observe-orient-decide-act (OODA) loop  parallel command and control (parallel C2)  planning-readiness-execution-assessment (PREA) loop  
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载：179/0  |  提交时间：2022/11/14
Traffic flow prediction  maritime traffic network  multi-graph convolutional network  automatic identification system (AIS)  
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2022, 卷号: 16, 期号: 2, 页码: 276-288
作者:  Wang, Haishuai;  Tao, Guangyu;  Ma, Jiali;  Jia, Shangru;  Chi, Lianhua;  Yang, Hong;  Zhao, Ziping;  Tao, Jianhua
收藏  |  浏览/下载：390/0  |  提交时间：2022/07/25
COVID-19  Predictive models  Mathematical models  Data models  Pandemics  Market research  Biological system modeling  COVID-19  generative adversarial networks  time series prediction  SIR simulation  
Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 卷号: 138, 页码: 25
作者:  Wang, Yibing;  Wang, Long;  Guo, Jingqiu;  Papamichail, Ioannis;  Papageorgiou, Markos;  Wang, Fei-Yue;  Bertini, Robert;  Hua, Wei;  Yang, Qinmin
收藏  |  浏览/下载：175/0  |  提交时间：2022/07/25
Ego-efficient Lane Changes  Traffic Flow Impacts  Microscopic Simulation  Reinforcement Learning  
Tucker decomposition-based temporal knowledge graph completion 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 9
作者:  Shao, Pengpeng;  Zhang, Dawei;  Yang, Guohua;  Tao, Jianhua;  Che, Feihu;  Liu, Tong
Adobe PDF(611Kb)  |  收藏  |  浏览/下载：304/54  |  提交时间：2022/06/10
Temporal knowledge graphs  Tucker decomposition  Reconstruction  Contrastive learning  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：357/61  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)  
Multi-aspect self-supervised learning for heterogeneous information network 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Che, Feihu;  Tao, Jianhua;  Yang, Guohua;  Liu, Tong;  Zhang, Dawei
Adobe PDF(2661Kb)  |  收藏  |  浏览/下载：250/50  |  提交时间：2021/12/28
Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural network