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GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation 会议论文
无, Tel Aviv, Israel,, 2022-10-23
作者:  Keqiang Li;  Mingyang Zhao;  Huaiyu Wu;  Dong-Ming Yan;  Zhen Shen;  Fei-Yue Wang;  Gang Xiong
Adobe PDF(5924Kb)  |  收藏  |  浏览/下载：187/40  |  提交时间：2023/06/12
Normal estimation  unstructured 3D point clouds  graph convolution  multi-scale  
Terrain Mapping for Autonomous Trucks in Surface Mine 会议论文
, Macau, China, 2022.10.08
作者:  Junhui Wang;  Bin Tian;  Yachen Zhu;  Tingting Yao;  Ziyu Pan;  Long Chen
Adobe PDF(910Kb)  |  收藏  |  浏览/下载：131/44  |  提交时间：2023/05/06
Learning Greenhouse Climate Control Policy from Monitored Data 会议论文
, 厦门 · China, Nov. 25 - 27, 2022
作者:  Xiaoxuan Zhao;  Haoyu Wang;  Xiujuan Wang;  Udom Lewlomphaisarl;  Dong Li;  Jing Hua;  Mengzhen Kang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：176/61  |  提交时间：2023/04/27
A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Wang, Jiangong;  Tian, Yonglin;  Wang, Yutong;  Yang, Jing;  Wang, Xingxia;  Wang, Sanjin;  Kwan, Oliver
Adobe PDF(3322Kb)  |  收藏  |  浏览/下载：169/53  |  提交时间：2023/02/22
Cyber-physical-social intelligence (CPSI)  cyber-physical-social systems (CPSSs)  industrial foundation models (IFMs)  intelligent enterprises  metaverses  operational processes  parallel intelligence  
Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：263/0  |  提交时间：2022/11/14
Perturbation methods  Semantics  Computational modeling  Codes  Task analysis  Privacy  Software  Adversarial perturbation  deep neural network (DNN)  privacy protection  semantic retrieval  
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：222/0  |  提交时间：2022/11/14
Training  Task analysis  Semantics  Perturbation methods  Feature extraction  Computational modeling  Robustness  Adversarial perturbation  adversarially robust training  deep hashing  multimodal retrieval  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：303/39  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：345/70  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
A Semi-supervised 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:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：233/72  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：411/135  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning