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Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems | IEEE Journals & Magazine | IEEE Xplore

Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems


Abstract:

Deep learning-based time series classification in 6G-supported Intelligent Transportation Systems (ITS) helps transport decision-making. Deep learning classifier training...Show More

Abstract:

Deep learning-based time series classification in 6G-supported Intelligent Transportation Systems (ITS) helps transport decision-making. Deep learning classifier training necessitates a large amount of labeled data for feature extraction. Labeling time series data in 6G-supported ITS is tough. Meta-learning can be used to train deep classifiers with limited data. However, in meta-learning, the tasks are frequently modeled by a low-complexity base learner. It is unable to use more complicate and powerful structures. The meta-learning-pretrained classifier can only perform new classification problems with the same number of classes. Most pre-training strategies do not prioritize enhancing the pre-training phase’s convergence rate and lowering the computational cost. Most research work aims to improve classification performance by increasing the complexity of the classification model. However, this raises computing costs. In this paper, we propose a one-dimensional Multi-Scale Dilated Convolution Neural Network time series classifier (MSDCNN). MSDCNN combines multi-scale CNN and dilated CNN. It can extract multi-scale characteristics from time series and reduce the complexity of the classifier. Furthermore, we propose a pre-training strategy, called Meta-transfer metric Learning using Scale function (MLS). MLS allows the classifier to gain experience from different tasks with various numbers of classes. Experiments show that MLS reduces pre-training computation costs during the pre-training phase. The pre-trained classifier, without using any fine tuning techniques, achieves the highest accuracy by comparing with the state-of-the-art methods. Finally, we present a case study of applying MSDCNN and MLS to detect road accidents in 6G-supported transportation systems.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 25, Issue: 3, March 2024)
Page(s): 2757 - 2767
Date of Publication: 06 March 2023

ISSN Information:

Funding Agency:

Author image of Le Sun
Engineering Research Center of Digital Forensics, Ministry of Education, and the Department of Jiangsu Collaborative Innovation, Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
Le Sun received the Ph.D. degree from Victoria University, Australia, in 2016. She was a Visiting Scholar with Michigan State University, in 2018. She is currently a Professor with the School of Computer, Nanjing University of Information Science and Technology, China. She has published more than 50 papers on high-quality conferences and journals. Her research interests include intelligent medicine and services computing....Show More
Le Sun received the Ph.D. degree from Victoria University, Australia, in 2016. She was a Visiting Scholar with Michigan State University, in 2018. She is currently a Professor with the School of Computer, Nanjing University of Information Science and Technology, China. She has published more than 50 papers on high-quality conferences and journals. Her research interests include intelligent medicine and services computing....View more
Author image of Jiancong Liang
Engineering Research Center of Digital Forensics, Ministry of Education, and the Department of Jiangsu Collaborative Innovation, Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
Jiancong Liang received the B.E. degree from the Guangdong University of Finance, Guangzhou, China, in 2016. He is currently pursuing the master’s degree in electronic information (computer technology) with the Nanjing University of Information Science and Technology, Jiangsu, China. His research interests include using meta-learning to solve few-shot learning problems.
Jiancong Liang received the B.E. degree from the Guangdong University of Finance, Guangzhou, China, in 2016. He is currently pursuing the master’s degree in electronic information (computer technology) with the Nanjing University of Information Science and Technology, Jiangsu, China. His research interests include using meta-learning to solve few-shot learning problems.View more
Author image of Chunjiong Zhang
College of Electronics and Information Engineering, Tongji University, Shanghai, China
Chunjiong Zhang received the B.S. degree in electronic and information engineering from Shangqiu University, Shangqiu, China, in 2015, and the M.S. degree in circuits and systems from Chongqing Three Gorges University, Chongqing, China, in 2018. He is currently pursuing the Ph.D. degree in electronic and information with Tongji University, Shanghai, China. His research interests include distributed artificial intelligence...Show More
Chunjiong Zhang received the B.S. degree in electronic and information engineering from Shangqiu University, Shangqiu, China, in 2015, and the M.S. degree in circuits and systems from Chongqing Three Gorges University, Chongqing, China, in 2018. He is currently pursuing the Ph.D. degree in electronic and information with Tongji University, Shanghai, China. His research interests include distributed artificial intelligence...View more
Author image of Di Wu
College of Electronics and Information Engineering, Tongji University, Shanghai, China
Di Wu received the B.E. degree in electrical engineering and automation from First Air Force University, China, in 2007, and the M.S. and Ph.D. degrees in electronics and communication engineering from Tongji University, Shanghai, China, in 2015 and 2022, respectively. He is currently a Lecturer with the School of Electronic and Information Engineering, Tongji University. His research interests include big data, artificia...Show More
Di Wu received the B.E. degree in electrical engineering and automation from First Air Force University, China, in 2007, and the M.S. and Ph.D. degrees in electronics and communication engineering from Tongji University, Shanghai, China, in 2015 and 2022, respectively. He is currently a Lecturer with the School of Electronic and Information Engineering, Tongji University. His research interests include big data, artificia...View more
Author image of Yanchun Zhang
Department of New Networks, Peng Cheng Laboratory, Shenzhen, China
Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China
Yanchun Zhang (Member, IEEE) is currently a Professor with the Department of New Networks, Peng Cheng Laboratory, Shenzhen, China, and the Cyberspace Institute of Advanced Technology, Guangzhou University, Guangdong, China. He also holds an emeritus professor position with Victoria University, Melbourne, Australia. He is an international research leader in databases, data mining, health informatics, web information system...Show More
Yanchun Zhang (Member, IEEE) is currently a Professor with the Department of New Networks, Peng Cheng Laboratory, Shenzhen, China, and the Cyberspace Institute of Advanced Technology, Guangzhou University, Guangdong, China. He also holds an emeritus professor position with Victoria University, Melbourne, Australia. He is an international research leader in databases, data mining, health informatics, web information system...View more

Author image of Le Sun
Engineering Research Center of Digital Forensics, Ministry of Education, and the Department of Jiangsu Collaborative Innovation, Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
Le Sun received the Ph.D. degree from Victoria University, Australia, in 2016. She was a Visiting Scholar with Michigan State University, in 2018. She is currently a Professor with the School of Computer, Nanjing University of Information Science and Technology, China. She has published more than 50 papers on high-quality conferences and journals. Her research interests include intelligent medicine and services computing. She received the Chancellor-Citation Best Ph.D. Award.
Le Sun received the Ph.D. degree from Victoria University, Australia, in 2016. She was a Visiting Scholar with Michigan State University, in 2018. She is currently a Professor with the School of Computer, Nanjing University of Information Science and Technology, China. She has published more than 50 papers on high-quality conferences and journals. Her research interests include intelligent medicine and services computing. She received the Chancellor-Citation Best Ph.D. Award.View more
Author image of Jiancong Liang
Engineering Research Center of Digital Forensics, Ministry of Education, and the Department of Jiangsu Collaborative Innovation, Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
Jiancong Liang received the B.E. degree from the Guangdong University of Finance, Guangzhou, China, in 2016. He is currently pursuing the master’s degree in electronic information (computer technology) with the Nanjing University of Information Science and Technology, Jiangsu, China. His research interests include using meta-learning to solve few-shot learning problems.
Jiancong Liang received the B.E. degree from the Guangdong University of Finance, Guangzhou, China, in 2016. He is currently pursuing the master’s degree in electronic information (computer technology) with the Nanjing University of Information Science and Technology, Jiangsu, China. His research interests include using meta-learning to solve few-shot learning problems.View more
Author image of Chunjiong Zhang
College of Electronics and Information Engineering, Tongji University, Shanghai, China
Chunjiong Zhang received the B.S. degree in electronic and information engineering from Shangqiu University, Shangqiu, China, in 2015, and the M.S. degree in circuits and systems from Chongqing Three Gorges University, Chongqing, China, in 2018. He is currently pursuing the Ph.D. degree in electronic and information with Tongji University, Shanghai, China. His research interests include distributed artificial intelligence and wireless sensor networks.
Chunjiong Zhang received the B.S. degree in electronic and information engineering from Shangqiu University, Shangqiu, China, in 2015, and the M.S. degree in circuits and systems from Chongqing Three Gorges University, Chongqing, China, in 2018. He is currently pursuing the Ph.D. degree in electronic and information with Tongji University, Shanghai, China. His research interests include distributed artificial intelligence and wireless sensor networks.View more
Author image of Di Wu
College of Electronics and Information Engineering, Tongji University, Shanghai, China
Di Wu received the B.E. degree in electrical engineering and automation from First Air Force University, China, in 2007, and the M.S. and Ph.D. degrees in electronics and communication engineering from Tongji University, Shanghai, China, in 2015 and 2022, respectively. He is currently a Lecturer with the School of Electronic and Information Engineering, Tongji University. His research interests include big data, artificial intelligence, and wireless communication.
Di Wu received the B.E. degree in electrical engineering and automation from First Air Force University, China, in 2007, and the M.S. and Ph.D. degrees in electronics and communication engineering from Tongji University, Shanghai, China, in 2015 and 2022, respectively. He is currently a Lecturer with the School of Electronic and Information Engineering, Tongji University. His research interests include big data, artificial intelligence, and wireless communication.View more
Author image of Yanchun Zhang
Department of New Networks, Peng Cheng Laboratory, Shenzhen, China
Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China
Yanchun Zhang (Member, IEEE) is currently a Professor with the Department of New Networks, Peng Cheng Laboratory, Shenzhen, China, and the Cyberspace Institute of Advanced Technology, Guangzhou University, Guangdong, China. He also holds an emeritus professor position with Victoria University, Melbourne, Australia. He is an international research leader in databases, data mining, health informatics, web information systems, and web services. He has published more than 500 research papers in international journals and conference proceedings and authored/edited 14 books. He is the Chairperson of the International Web Information Systems Engineering Society (WISE Society). He is an Editor-in-Chief of World Wide Web journal (Springer) and Health Information Science and Systems (Springer).
Yanchun Zhang (Member, IEEE) is currently a Professor with the Department of New Networks, Peng Cheng Laboratory, Shenzhen, China, and the Cyberspace Institute of Advanced Technology, Guangzhou University, Guangdong, China. He also holds an emeritus professor position with Victoria University, Melbourne, Australia. He is an international research leader in databases, data mining, health informatics, web information systems, and web services. He has published more than 500 research papers in international journals and conference proceedings and authored/edited 14 books. He is the Chairperson of the International Web Information Systems Engineering Society (WISE Society). He is an Editor-in-Chief of World Wide Web journal (Springer) and Health Information Science and Systems (Springer).View more

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