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Chao YANG

Associate professor

Automation

Contact

Office Location:

Email: yangchao@ecust.edu.cn

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Resume

Chao Yang received the B.S. degree in theoretical and applied mechanics from the Department of Mechanics and Science Engineering, Peking University, Beijing, China, in 2009 and the Ph.D. degree in electronic and computer engineering from the Hong Kong University of Science and Technology, Hong Kong, in 2013. 


She is currently an associate professor in the Department of Automation, East China University of Science and Technology, Shanghai, China. Her research interests include optimal communication planning in networked control systems, cooperative privacy, and social networks.


Research

Publications

[J.7] Chao Yang, Wen Yang, and Hongbo Shi.  “Communication-saving design by stochastic event triggers”. Journal of the Franklin Institute, vol. 356, pp. 10532-10546, 2019.

[J.6] Chao Yang, Wen Yang, and Hongbo Shi.  “DoS attack in centralised sensor network against state estimation”. IET Control Theory & Applications, vol. 12, no. 9, pp. 1244-1253, 2018. (regular Paper)

[J.5] Chao Yang, Jianying Zheng, Xiaoqiang Ren, Wen Yang, Hongbo Shi, and Ling Shi.  “Multi-Sensor Kalman Filtering with Intermittent Measurements”. IEEE Transactions on Automatic Control, vol. 63, no. 3, pp. 797-804, 2018.

[J.4] Chao Yang, Jingyi Lu, Wen Yang, and Hongbo Shi. “Sensor Scheduling for Lifetime Maximization in Centralized State Estimation”. Neurocomputing, vol. 270, pp. 43-53, 2017. (regular Paper)

[J.3] Chao Yang, Junfeng Wu, Xiaoqiang Ren, Wen Yang, Hongbo Shi, and Ling Shi. “Deterministic Sensor Scheduling for Centralized State Estimation Under Limited Communication Resource”. IEEE Transactions on Signal Processing, vol. 63, no. 9, pp. 2336-2348, 2015. (regular paper)

[J.2] Chao Yang, Junfeng Wu, Wei Zhang, and Ling Shi, “Schedule Communication for Decentralized State Estimation”, IEEE Transactions on Signal Processing, vol. 61, no. 10, pp. 2525-2535, 2013. (regular paper)

[J.1] Chao Yang and Ling Shi, “Deterministic Sensor Data Scheduling under Limited Communication Resource”, IEEE Transactions on Signal Processing, vol. 59, no. 10, pp. 5050-5056, 2011.