2007年9月 ~ 2011年6月   中国科学技术大学  学士

2011年9月 ~ 2016年11月   中国科学技术大学  博士

2015年10月 ~ 2016年10月   纽约州立大学布法罗分校  访问学者

 

智能网络、工业互联网、网络安全
个人主页：https://faculty.ustc.edu.cn/ChenShuangWu/zh_CN/index.htm

2018年4月~2022年2月  中国科学技术大学副研究员
2022年3月~至今            中国科学技术大学副教授

安徽省科技进步一等奖（排名第4）

担任未来网络国家重大科技基础设施边缘节点分系统总师，主持国家自然科学基金、安徽省科技重大专项、工信部工业互联网专项、装备预研基金等纵向项目9项

Fengrui Xiao, Shuangwu Chen*, Jian Yang, Jiahao Mei, Quan Zheng, Jian Wang, MEMO: Detecting Unknown Malicious Encrypted Trafficvia Metric Learning and Order-aware Pre-training，20th EAl International Conference onSecurity and Privacy in Communication Networks, 2024.（Best Paper Award）

X. Liu, J. Yang, S. Chen, H. He and X. Jiang, "PRFL: Achieving Efficient Robust Aggregation in Privacy-Preserving Federated Learning," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2024.3514212.

Chen, Shuangwu; Li, Jiangming; Yuan, Qifeng; He, Huasen*; Li, Sen; yang, jian,Two-Timescale Joint Optimization of Task Scheduling and Resource Scaling in Multi-Data Center System Based on Multi-Agent Deep Reinforcement Learning，IEEE Transactions on Parallel and Distributed Systems, DOI: 10.1109/TPDS.2024.3467212.

F. Xiao, S. Chen*, Y. Ma, S. Chen, H. Chen and J. Yang SENTINEL: Insider Threat Detection Based on Multi-timescale User Behavior Interaction Graph Learning，IEEE Transactions on Network Science and Engineering，2024. (Early Access)

Xiaobin Tan, Chuang Peng , Peng Xie, Hao Wang, Mengxiang Li, Shuangwu Chen*, and Cliff Zou，Inter-Flow Spatio-Temporal Correlation Analysis Based Website Fingerprinting Using Graph Neural Network，IEEE Transactions on Information Forensics and Security, vol. 19, pp. 7619-7632, 2024.

F. Xiao, S. Chen*, Yang J, et al. GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction. Computers & Security, 2025, 148: 104180.

S. Chen, S. Chen*, H. He, X. Jiang, Jian Yang, and S. Cheng, Causuality correlation and context learning aided robust lightweight multi-tab website fingerprinting over encrypted tunnel, IEEE INFOCOM 2024.

S. Chen*, Q. Yuan, J. Li, H. He*, S. Li, X. Jiang, and Jian Yang, Graph neural network aided deep reinforcement learning for microservice deployment in cooperative edge computing, IEEE Transactions on Services Computing, DOI:10.1109/TSC.2024.3417241. (Early Access)

S. Cheng, D. Jin, Y. Ma, S. Chen*, H. He, and Jian Yang, LinkGuard: link flooding attack detection and mitigation via spatio-temporal graph convolutional network, IEEE Transactions on Network Science and Engineering, DOI:10.1109/TNSE.2024.3393513. (Early Access)

H. He, W. Yuan, Y. Hou*, S. Chen, X. Jiang, R. Zhu, and Jian Yang, Onboard processing aided transmission delay minimization for LEO satellite networks, IEEE Transactions on Communications, DOI:10.1109/TCOMM.2024.3406373.
4. S. Chen, D. Jin, H. He*, F. Yang, and Jian Yang, Deep learning based online non-destructive defect detection for self-piercing riveted joints in automotive body manufacturing, IEEE Transactions on Industrial Informatics, vol. 19, no. 8, Aug. 2023.

D. Jin, S. Chen*, X. Jiang, S. Cheng, and Jian Yang, Federated incremental learning based evolvable intrusion detection system for zero-day attacks, IEEE Network, vol. 37, no. 1, pp. 125-132,  Feb. 2023.

Siyang Chen, Shuangwu Chen, Huasen He, Xiaofeng Jiang, Jian Yang, and Siyu Cheng, Causality Correlation and Context Learning Aided
Robust Lightweight Multi-Tab Website Fingerprinting Over Encrypted Tunnel, INFOCOMM 2024.