个人简介
教育经历
2013.9–2018.7 清华大学,控制科学与工程,博士学位
2009.8–2013.7 哈尔滨工业大学,控制科学与工程,学士学位
工作经历
2023.3至今 同济大学,控制科学与工程系,准聘教授
2018.9–2023.1 阿尔伯塔大学,电子与计算机工程系,博士后
荣誉与奖励
2019.11 中国自动化学会自然科学奖二等奖
2019.11 中国自动化学会优秀博士学位论文奖
2018.7 清华大学优秀博士毕业生
2018.7 清华大学优秀博士学位论文奖
近期论文
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Jun Shang, Tongwen Chen, Linear encryption against eavesdropping on remote state estimation, IEEE Transactions on Automatic Control, 2023, Early Access.
Jing Zhou, Jun Shang, Tongwen Chen, Optimal deception attacks against remote state estimation: An information-based approach, IEEE Transactions on Automatic Control (Full Paper), 2023, Early Access.
Jing Zhou, Jun Shang, Tongwen Chen, Optimal deception attacks on remote state estimators equipped with interval anomaly detectors, Automatica (Regular Paper), 2023, 148: 110723.
Jun Shang, Jing Zhou, Tongwen Chen, Single-dimensional encryption against innovation-based stealthy attacks on remote state estimation, Automatica (Regular Paper), 2022, 136: 110015.
Jun Shang, Hao Yu, Tongwen Chen, Worst-case stealthy attacks on stochastic event-based state estimation, IEEE Transactions on Automatic Control, 2022, 67(4), 2052–2059.
Jun Shang, Hao Yu, Tongwen Chen, Worst-case stealthy innovation-based linear attacks on remote state estimation under Kullback–Leibler divergence, IEEE Transactions on Automatic Control, 2022, 67(11), 6082–6089.
Hao Yu, Jun Shang, Tongwen Chen, Stochastic event-based LQG control: An analysis on strict consistency, Automatica (Regular Paper), 2022, 138: 110157.
Jun Shang, Tongwen Chen, Optimal stealthy integrity attacks on remote state estimation: The maximum utilization of historical data, Automatica (Regular Paper), 2021, 128: 109555.
Jun Shang, Maoyin Chen, Tongwen Chen, Optimal linear encryption against stealthy attacks on remote state estimation, IEEE Transactions on Automatic Control (Full Paper), 2021, 66(8): 3592–3607.
Hao Yu, Jun Shang, Tongwen Chen, On stochastic and deterministic event-based state estimation, Automatica (Regular Paper), 2021, 123: 109314.
Maoyin Chen, Jun Shang, Recursive spectral meta-learner for online combining different fault classifiers, IEEE Transactions on Automatic Control, 2018, 63(2): 586–593.
Jun Shang, Maoyin Chen, Hongquan Ji, Donghua Zhou, Recursive transformed component statistical analysis for incipient fault detection, Automatica (Regular Paper), 2017, 80: 313–327.