Education：

[1] Sep., 2009--Aug., 2015, Department of Electrical Engineering，Korea University, Doctor Degree.

[2] Sep., 2005--Jul., 2009, School of information and electronic engineering，Harbin Institute of Technology，Bachelor Degree.

Work Experience:

[1] Jan., 2020--Now, School of Information and Electronic Engineering, Zhejiang Gongshang University, Associate Professor.

[2] Nov., 2015--Dec. 2019, School of Information and Electronic Engineering, Zhejiang Gongshang University, Lecturer.

Researching Area:

Machine Learning, Data Mining, Anomaly Detection, Wireless Sensor Networks

Publications:

[1] X. Yu, S. J. Baek, “Sufficient conditions on stable recovery of sparse signals with partial information”, Signal Processing Letters, IEEE, 2013, 20(5): 539-542.

[2] S. J. Baek, X. Yu, K. Lee, H. Kim, “Retrieval of the extreme values under deadline constraints in wireless sensor networks”, Sensors, 2011, 11(5): 5229-5252.

[3] X. Yu, S. J. Baek “Compressive data aggregation in wireless sensor networks using sub-Gaussian random matrices”, Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on. IEEE, 2013: 2103-2108.

[4] Yu X, Baek S J. Energy-efficient collection of sparse data in wireless sensor networks using sparse random matrices[J]. ACM Transactions on Sensor Networks (TOSN), 2017, 13(3): 22.

[5] Yu X, Baek S J. Joint routing and scheduling for data collection with compressive sensing to achieve order-optimal latency[J]. International Journal of Distributed Sensor Networks, 2017, 13(10): 1550147717737968.

[6]Yu X, Xu W, Chen C. HDCDS-CDG: A Hierarchically Diffused Connected Dominating Sets based Compressed Data Gathering Scheme[C]//Journal of Physics: Conference Series. IOP Publishing, 2020, 1570(1): 012056.

[7] Keming Dong, Chao Chen, Xiaohan Yu, A Random Walk-Based Energy-Aware Compressive Data Collection for Wireless Sensor Networks[J]. Wireless Communications and Mobile Computing, 2020, Vol 20. Article 8894852.

2020.11.30

[8] Li X, Shen C, Yu X, et al. Bandwidth-tunable optical filter based on microring resonator and MZI with Fano resonance[J]. Journal of Optics, 2020: 1-6.

[9] Yao, J., Jiang, X., Wang, S., Jiang, K., Yu, X. SVM-BiLSTM: A Fault Detection Method for the Gas Station IoT System Based on Deep Learning[J]. IEEE Access, 2020.

[10] Gao S, Ding Y, Lu Y, Han Li, Zhou Lei, Chao Chen, Xiaohan Yu, Xuefei Huang. A Lightweight Fingerprint-based Device Authentication Architecture for Wireless Industrial Automation Networks[C]//2019 1st International Conference on Industrial Artificial Intelligence (IAI). IEEE, 2019: 1-6.

Projects:

[1] Jan., 2018--Dec., 2020, “Controllable Sparse Based Optimization of Energy Consumption in Wireless Sensor Networks”, National Natural Science Foundation of China under Grants 61701441.

[2] Jan., 2019--Dec., 2021, “Multicast Coding and Optimal Scheduling for Wireless Relay Networks Based on Fluid Model”, National Natural Science Foundation of China under Grants 61801427.

[3] Jan., 2018--Dec., 2020, “Distributed Online Optimization of Higher-order Continuous-time Systems and Applications to Mobile Robot Networks”, National Natural Science Foundation of China under Grants 61703368.

[4] Jan., 2018-- Now, “Research and Application of Key Information Security Technologies in the IoTs”,Zhejiang Provincial Key Laboratory of New Network Standards and Technologies (No. 2013E10012)