个人简介：

1995年生，博士，目前任浙江工业大学网络空间安全研究院讲师。 2023年毕业于纽卡斯尔大学，计算机科学与技术专业，师从欧洲工程院院士Prof. Rajiv Ranjan。申请人一直从事智能计算，电磁空间安全，信号处理等方向的研究。近年来在ACM Computing Surveys, ACM Ubicomp, IEEE TIFS, IEEE ICASSP 与 IEEE IJCNN 等期刊/会议发表论文近10篇，其中一作或通讯4篇。

工作/教育经历：

讲师   浙江工业大学    网络空间安全研究院      2023-至今  

博士   纽卡斯尔大学    计算机科学与技术          2018-2023

硕士   南安普顿大学    数据科学                            2017-2018

本科   中国计量大学    计算机科学与技术          2013-2017

个人主页：https://jie-su.github.io/

论文发表：

1. Su, J., Wen, Z., Lin, T., & Guan, Y.†, (2022). Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 6(1), 1-19. (CCF A)

2. Su, J., Wan, J.†, Li, T., Li, X., & Ye, Y., (2023). Variational Disentangle Zero-Shot Learning. Mathematics.  （JCR 1 区)

3. Sun, P.∗, Su, J.∗, Wen, Z.†, Suo, J., Hong, Z., Yu, S., & Zhou, H. (2022). Boosting Signal Modulation Few-Shot Learning with Pre-transformation. IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP), pp. 1-5. (共同第一作者, CCF B)

4. Hong, Z., Li, X., Wen, Z., Zhou, L., Chen, H., & Su, J.†, (2022). ESP Spoofing: Covert Acoustic Attack on MEMS Gyroscopes in Vehicles. IEEE Transactions on Information Forensics and Security (TIFS), doi:10.1109/TIFS.2022.3209552. (唯一通讯作者, CCF A, SCI 1 区)

5. Wen, Z, Ye, Y., Su, J, Li, T., Wan, J., Zheng, S., Hong, Z., He, S., Duan, H., Li, Y., Huang, Y., & Zheng, Y.,(2023). Unraveling Complexity: An Exploration into the Large-Scale Multi-Modal Signal Processing. IEEE Intelligent Systems (IS). (通讯作者）

6. Qian, B., Su, J., Wen, Z.†, Jha, D.N., Li, Y., Guan, Y., Puthal, D., James, P., Yang, R., Zomaya, A.Y., Rana, O., Wang, L., Koutny, M., & Ranjan, R. (2020). Orchestrating the development lifecycle of machine learning-based iot applications: A taxonomy and survey. ACM Computing Surveys (CSUR), 53(4), pp.1-47. (CCF A, SCI 1 区, JCR 1 区)

7. Zhang, P.∗, Bai, Y.∗, Su, J., Huang, Y., Long, Y.† (2023). Towards Few-Shot Image Captioning with Cycle-Based Compositional Semantic Enhancement Framework. IEEE International Joint Conference on Neural Networks.(IJCNN), pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191558. (CCF C)