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CASIA OpenIR
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Autonomous Services: The Evolution of Services Through Intelligent Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 11, 页码: 4468-4473
作者:  Jing, Zheng;  Li, Lefei;  Lyu, Yudan;  Wang, Ridong;  Wang, Yutong;  Wang, Ding;  Wang, Fei-Yue
收藏  |  浏览/下载：38/0  |  提交时间：2024/03/27
Intelligent vehicles  autonomous services  cyber-physical-social systems(CPSSs)  parallel intelligence  requirement-functional-logical-physical(RFLP) framework  
Mobility 5.0: Smart Logistics and Transportation Services in Cyber-Physical-Social Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3527-3532
作者:  Lin, Yilun;  Na, Xiaoxiang;  Wang, Ding;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：109/0  |  提交时间：2023/11/17
Mobility  logistics  transportation  cyber-physical-social systems  
Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 5, 页码: 3211-3216
作者:  Li, Xuan;  Teng, Siyu;  Liu, Bingzi;  Dai, Xingyuan;  Na, Xiaoxiang;  Wang, Fei-Yue
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/17
Testing  Safety  Autonomous vehicles  Roads  ISO Standards  Calibration  Standards  Scenarios engineering  autonomous vehicles  parallel intelligence  simulation scenarios  real-road testing  
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:  Lu, Jingwei;  Han, Liyuan;  Wei, Qinglai;  Wang, Xiao;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：87/0  |  提交时间：2023/11/17
Autonomous vehicles  Decision making  Path planning  Training  Optimal control  Deep learning  Complex systems  Autonomous driving  deep reinforcement learning  deep Q-network  event-triggered control  parallel control  
Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2023, 卷号: 109, 期号: 2, 页码: 15
作者:  Lu, Yue;  Guo, Chao;  Dou, Yong;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：85/0  |  提交时间：2023/11/15
Intelligent systems  Human-machine interactions  Artistic painting generation  Large language model  ChatGPT  Linguistic intelligence  
Generating Emotion Descriptions for Fine Art Paintings via Multiple Painting Representations 期刊论文
IEEE Intelligent Systems, 2023, 卷号: 38, 期号: 3, 页码: 31-40
作者:  Lu, Yue;  Guo, Chao;  Dai, Xingyuan;  Wang, Fei-Yue
Adobe PDF(1045Kb)  |  收藏  |  浏览/下载：106/15  |  提交时间：2023/06/25
painting captioning  
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：160/34  |  提交时间：2023/06/12
Normal estimation  unstructured 3D point clouds  graph convolution  multi-scale  
ArtCap: A Dataset for Image Captioning of Fine Art Paintings 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 12
作者:  Lu, Yue;  Guo, Chao;  Dai, Xingyuan;  Wang, Fei-Yue
Adobe PDF(5137Kb)  |  收藏  |  浏览/下载：251/46  |  提交时间：2023/02/22
Dataset construction  image captioning  painting captioning  
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：241/0  |  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：197/0  |  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