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Jie Su (苏捷) |
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News
[4/2025] Our paper "MMCANet: A Multi-Modal and Cross-Attention Network for Cloud Removal and Exploration of Progressive Remote Sensing Images Restoration Algorithm" is accepted by IEEE TGRS.
[10/2024] Our paper “Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation”is accepted by WASA 2024 as the Best Paper.
About me
I am currently a a assistant professor at the Zhejiang University of Technology. Prior to this, I was very fortunate to be advised by Prof. Rajiv Ranjan and Prof. Graham Morgan at Newcastle University. In 2019, he was a research intern at the ITV, working with Marios Perrakis. I obtained my master’s degree with distinction from University of Southampton under the supervision of Pro. Adam Prugel-Bennett.
My research lies at the intersection of signal processing and machine learning with a special focus on building intelligent systems that are continual and data-efficient. My research interests include signal processing, video understanding, and ubiquitous computing.
Education
2018.09-2023.04: Ph.D. in Computer Science, Newcastle University, United Kingdom
2017.09-2018.06: M.S. in Data Science, University of Southampton, United Kingdom
2013.09-2017.06: B.S. in Computer Science, China Jiliang University, China
Working Experiences
2023.10-current: Assistant Professor, Institute of Cyber Security, Zhejiang University of Technology
Research
Research Interests
Internet of Things
Non-stationary Signal Processing
LLM Application
Selected Publications
Journals:
Y. Zhou, J. Suo, Y. Wang, J. Su, W. Xiao, Z. Hong, R. Ranjan, L. Wang, Z. Wen, “MMCANet: A Multi-Modal and Cross-Attention Network for Cloud Removal and Exploration of Progressive Remote Sensing Images Restoration Algorithm”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025. [SCI Q1]
Z. Hong, X. Li, Z. Wen, L. Zhou, H. Chen, J. Su, “A Source Location Privacy Preservation Method Using Mixed Fake Sources and Phantoms,” IEEE Internet of Things Journal (IOTJ), 2024.
J. Su, P. Sun, Y. Jiang, Z. Wen, F. Guo, Y. Wu, Z. Hong, H. Duan, Y. Huang, et al., “A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. [SCI Q1, Top]
Z. Hong, M. Chen, R. Wang, M. Yan, D. Zheng, C. Lin, J. Su, M. Han, “Active Learning-Based Backtracking Attack Against Source Location Privacy of Cyber-Physical System,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Z. Wen, Y. Ye, J. Su, T. Li, J. Wan, S. Zheng, Z. Hong, S. He, H. Duan, Y. Li, et al., “Unraveling Complexity: An Exploration into the Large-Scale Multi-Modal Signal Processing,” IEEE Intelligent Systems, 2024.
J. Su, Z. Hong, L. Ye, T. Liu, S. Liang, S. Ji, G. S. Aujla, R. Beyah, Z. Wen, “Trustworthy IAP: An Intelligent Applications Profiler to Investigate Vulnerabilities of Consumer Electronic Devices,” IEEE Transactions on Consumer Electronics (TCE), 2023.
Z. Wen, J. Suo, J. Su, B. Li, Y. Zhou, “Edge-SAR Assisted Multi-Modal Fusion for Enhanced Cloud Removal,” IEEE Geoscience and Remote Sensing Letters, 2023.
Z. Hong, X. Li, Z. Wen, L. Zhou, H. Chen, J. Su, “ESP Spoofing: Covert Acoustic Attack on MEMS Gyroscopes in Vehicles,” IEEE Transactions on Information Forensics and Security (TIFS), 2022. [CCF A]
B. Qian, J. Su, Z. Wen, D. N. Jha, Y. Li, Y. Guan, D. Puthal, P. James, R. Yang, et al., “Orchestrating the development lifecycle of machine learning-based IoT applications: A taxonomy and survey,” ACM Computing Surveys (CSUR), 2020. [CCF A]
Conferences:
T. Li, Z. Wen, Y. Jiang, J. Wang, J. Su, Z. Hong, L. Yu, S. He, “Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation,” International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), 2024. [Best Paper]
P. Zhang, Y. Bai, J. Su, Y. Huang, Y. Long, “Towards Few-shot Image Captioning with Cycle-based Compositional Semantic Enhancement Framework,” International Joint Conference on Neural Networks (IJCNN), 2023. [CCF C]
P. Sun, J. Su, Z. Wen, Y. Zhou, Z. Hong, S. Yu, H. Zhou, “Boosting Signal Modulation Few-Shot Learning with Pre-Transformation,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. [CCF B]
J. Su, Z. Wen, T. Lin, Y. Guan, “Learning disentangled behaviour patterns for wearable-based human activity recognition,” ACM international joint conference on Pervasive and Ubiquitous Computing (UbiComp), 2022. [CCF A]
Projects and Grants
“Research on multi-dimensional wireless resource allocation and mobility management in UAV-aided wireless powered communication systems for Internet of Things”, Grant No. 62072314, National Natural Science Foundation of China, General Program, 2021.01-2024.12, PI.
“Research on wireless powered sustainable cognitive radio communication systems”, Grant No. 61601308, National Natural Science Foundation of China, Youth Program, 2017.01-2019.12, PI.
“Research on key technologies of the wireless energy transfer enabled new generation wireless communication systems and their applications”, Grant No. 2017A010101033, Guangdong Provincial Science and Technology Development Special Fund Project, 2017.01-2018.12, Guangdong Provincial Department of Science and Technology,PI.
Teaching
Social Network and Text Mining, 2025-1
Awards
Ministry of Education Overseas Postdoctoral Talent Project, 2025