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Jie Su (苏捷)

Assistant Professor,
Institute of Cyber Security,
Zhejiang University of Technology.






Office: Room 206, Building C, College of Information Engineering
E-mail: jiesu@zjut.edu.cn

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:

  • J. Su, D. Wang, H. Cai, S. Wang, Y. Zhao, T. Gao, “Extraction of Urban Building in Mountainous Areas from Sentinel-2 Image”, Open Geosciences, 18 (1), 20250914, 2026.

  • L. Hua, F. Liu, J. Su, X. Miao, Z. Ouyang, Z. Wang, R. Hu, Z. Wen, B. Zhai, “Attention in Diffusion Model: A Survey”, arXiv preprint arXiv:2504.03738, 2025.

  • Y. Zhou, Y. Wang, J. Su, Z. Wen, P. Zhang, W. Zhang, “EMSNet: Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.

  • 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, 63, 1-13, 2025.

  • J. Su, Y. Jiang, Y. Ye, Z. Wen, T. Li, S. He, X. Zhang, “Patch Matter: Dual Modality Patch Contrastive for Non-stationary Radio Signals,” IEEE Transactions on Mobile Computing, 2025.

  • T. Li, Z. Wen, C. Jin, J. Su, J. Li, Z. Hong, X. Zhang, S. He, “Meta-RFF: Meta-Task Adaptive Based Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition,” IEEE Transactions on Cognitive Communications and Networking, 1, 2025.

  • Z. Hong, J. Lin, T. Li, J. Wan, J. Su, Z. Wen, “Open-Set Domain Adaptive RF Fingerprint Identification based on Prototype Calibration,” IEEE Wireless Communications Letters, 2025.

  • J. Su, F. Ge, Z. Wen, T. Li, Y. Bai, Y. Zhou, X. Zhang, “IMUZero: Zero-Shot Human Activity Recognition by Language-Based Cross Modality Fusion,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2025.

  • 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, 2024.

  • J. Su, P. Sun, Y. Jiang, Z. Wen, F. Guo, Y. Wu, Z. Hong, H. Duan, Y. Huang, “A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications,” IEEE Transactions on Neural Networks and Learning Systems, 36 (5), 8100-8111, 2024.

  • Z. Wen, Y. Ye, J. Su, T. Li, J. Wan, S. Zheng, Z. Hong, S. He, H. Duan, Y. Li, “Unraveling Complexity: An Exploration into the Large-Scale Multi-Modal Signal Processing,” IEEE Intelligent Systems, 39 (6), 48-57, 2024.

  • 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, 9 (1), 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, 70 (1), 4605-4616, 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, 20, 1-5, 2023.

Conferences:

  • T. Li, Y. Li, Z. Wen, J. Lin, J. Wan, J. Su, C. Wang, Z. Hong, “RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation,” The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26) Oral, 2025.

  • P. Zhang, Y. Bai, J. Su, L. Zhou, Y. Weng, B. Hu, Y. Long, “Flow Enhanced Dual Transformer for Video Inpainting,” IEEE International Conference on Mobility, Sensing and Networking, 2025.

  • Z. Wen, W. Pan, Z. Dong, J. Wang, J. Su, F. Guo, X. Wu, Y. Zhou, “YOLO-FEE: An Improved Fabric Defect Detection Model Based on YOLOv11s,” International Joint Conference on Neural Networks (IJCNN), 1-7, 2025.

  • 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.

  • 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), 1-8, 2023.

  • 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.

  • 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.

Projects and Grants

  • 国家博士后面上项目 (National Postdoctoral General Program), Grant No. 2025M783523, 2025, PI, 80K RMB.

  • 杭州市青年基金 (Hangzhou Youth Fund), Grant No. 2025SZRJJ0242, 2025, PI, 50K RMB.

  • 浙江省青年基金项目 (Zhejiang Provincial Youth Fund), Grant No. LQN26F020060, 2025, PI, 100K RMB.

  • 浙江省区域联合项目 (Zhejiang Provincial Regional Joint Project), Grant No. LJHSD26F020001, 2025, Zhejiang Normal University Lead, 300K RMB.

  • 博后省择优项目 (Postdoctoral Preferred Funding Project), Grant No. ZJ2025081, 2025, PI, Second Class Funding, 50K RMB.

  • 浙江省尖兵领雁GA 专项 (Zhejiang Provincial “Jianbing Lingyan” GA Special Project), 2025, Sub-project Lead, 360K RMB.

Teaching

  • Social Network and Text Mining, 2025-1

Awards

  • Ministry of Education Overseas Postdoctoral Talent Project, 2025