Jie Su is now a assistant professor at the Zhejiang University of Technology. Prior to this, he 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.

[08/24] Paper of "A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications" has been accepted by TNNLS.

[06/24] Our paper has been accepted by WASA 2024 as best paper.

Publications

A Source Location Privacy Preservation Method Using Mixed Fake Sources and Phantoms
Z. Hong, W. Chen, T. Li, J. Su†
IEEE Internet of Things Journal (IOTJ), 2024.
[Paper]

A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications
J. Su, P. Sun, Y. Jiang, Z. Wen, F. Guo, Y. Wu, Z. Hong, H. Duan, Y. Huang, R. Ranjan, Y. Zheng
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
[Paper]

Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation
T. Li, Z. Wen, Y. Jiang, J. Wang, J. Su, Z. Hong, L. Yu, S. He
International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), 2024.
[Paper]
Best Paper Award

Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing
Z. Wen, Y. Ye, J. Su, T. Li, J. Wan, S. Zheng, Z. Hong, S. He, H. Duan, Y. Li, Y. Huang, Y. Zheng
IEEE Intelligent Systems (IS), 2024.
[Paper]

Trustworthy IAP: An Intelligent Applications Profiler to Investigate Vulnerabilities of Consumer Electronic Devices
J. Su, Z. Hong , L. Ye, T. Liu, S. Liang, S. Ji, G. Aujla, R. Beyah, Z. Wen
IEEE Transactions on Consumer Electronics (TCE), 2024.
[Paper]

Edge-SAR-Assisted Multimodal Fusion for Enhanced Cloud Removal
Z. Wen, J. Suo, J. Su, B. Li, Y. Zhou
IEEE Geoscience and Remote Sensing Letters (IGRSL), 2023.
[Paper]

Towards Few-shot Image captioning with Cycle-based Compositional Semantic Enhancement Framework
P. Zhang, Y. Bai, J. Su, Y. Huang, Y. Long
IEEE International Joint Conference on Neural Networks (IJCNN), 2023.
[Paper]

Boosting Signal Modulation Few-Shot Learning with Pre-transformation
P. Sun, J. Su, Z. Wen, Y. Zhou, Z. Hong, S. Yu, H. Zhou
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
[Paper]

ESP Spoofing: Covert Acoustic Attack on MEMS Gyroscopes in Vehicles
Z. Hong, X. Li, Z. Wen, L. Zhou, H. Chen, J. Su†
IEEE Transactions on Information Forensics and Security (TIFS), 2022
[Paper]

Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition
J. Su, Z. Wen, T. Lin, Y. Guan
ACM international joint conference on Pervasive and Ubiquitous Computing (UbiComp), 2022
[Paper] [Code]

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey
B. Qian, J. Su, Z. Wen, D. Jha, Y. Li, Y. Guan, D. Puthal, P. James, R. Yang, A. Zomaya, O. Rana, M. Koutny, R. Ranjan
ACM Computing Surveys (CSUR), 2020
[Paper]