沈晓静 - 四川大学

个人简介

教育经历 1999-2003 四川大学数学学院本科 2003-2006 吉林大学数学学院硕士 2006-2009 四川大学数学学院博士工作经历 2009.7-2011.4 四川大学计算机学院博士后、讲师 2011.5-2013.6 四川大学数学学院副教授 2012.2-2012.3 美国Arizona State University 访问交流 2012.3-2013.2 美国Syracuse University 博士后 2019.2-2019.3美国Harvard University 访问交流 2013.7-至今四川大学数学学院教授、博导 2019.1-至今四川大学视觉合成国家级重点实验室博导教学课程本科：数理统计，Monte Carlo Statistical Methods 研究生：现代概率论基础，Convex Optimization, Nonlinear Programming, Statistical Foundations of Data Science, Deep Learning, Reinforcement Learning 出版专著： Y. Zhu, J. Zhou, X. Shen, E. Song, and Y. Luo, Networked Multisensor Decision and Estimation Fusion: Based on Advanced Mathematical Methods. CRC Press, 2012. Y. Luo, X. Shen, and Y. Zhu, “Random coefficient matrices Kalman filtering with applications,” in Nonlinear Estimation and Applications to Industrial Systems Control (G. Rigatos, ed.), ch. 3, pp. 61–88, Nova Science, 2012. Z. Wang, X. Shen, and Y. Zhu, “Monte Carlo set-membership filtering for nonlinear dynamic systems,” in Nonlinear Systems (M. Reyhanoglu, ed.), ch. 11, INTECH Press, July 2018. 科研项目（主持项目） [1] 2019247，智能跟踪理论与算法研究，国家级重点项目，2019.1-2022.12. [2] 61673282偏差有界不确定性系统机动目标容差估计融合和数据关联，国家自然科学基金面上基金项目，2017.1-2020.12 [3] 61673282某些系统错误存在时的多传感估计融合容错稳健方法研究，国家自然科学基金青年基金项目，2011.1-2013.12 [4] 201314 目标跟踪的多传感器多算法融合理论和算法研究，教育部全国百篇优秀博士学位论文作者专项基金项目，2013.12-2017.12 [5] 201003698具有不确定系统信息的多传感器估计融合稳健方法研究，中国博士后科学基金（特别资助金），2010.12-2011.12 [6] 20090460095多传感器网络容错稳健估计融合问题，中国博士后科学基金（一等资助金），2009.12-2011.04 学术荣誉全国百篇优秀博士论文奖

研究领域

最优化理论、统计计算、信息融合、机器学习、人工智能

近期论文

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[1] Z. Wang, X. Shen*, H. Liu, F. Meng, and Y. Zhu, “Dual set membership filter with minimizing nonlinear transformation of ellipsoid,” IEEE Transactions on Automatic Control, 2021. [2] F. Meng, X. Shen*, Z. Wang, H. Liu, J. Wang, Y. Zhu, and P. K. Varshney, “Multiple-source ellipsoidal localization using acoustic energy measurements,” Automatica, vol. 112, 2020. [3] Y. Liao, X. Shen*, and H. Rao, “Analytic sensor rules for optimal distributed decision given k-out-of-l fusion rule under Monte Carlo approximation,” IEEE Transactions on Automatic Control, vol. 65, no. 12, pp. 5488–5495, 2020. [4] Z. Wang, X. Shen*, and Y. Zhu, “Ellipsoidal fusion estimation for multisensor dynamic systems with bounded noises,” IEEE Transactions on Automatic Control, vol. 64, no. 11, pp. 4725–4732, 2019. [5] Z. Wang, X. Shen*, and Y. Zhu, “On equivalence of major relaxation methods for minimum ellipsoid covering intersection of ellipsoids,” Automatica, vol. 103, pp. 337–345, 2019. [6] X. Shen*, P. K. Varshney, and Y. Zhu, “Robust distributed maximum likelihood estimation with dependent quantized data,” Automatica, vol. 50, pp. 169–174, January 2014. [7] X. Shen* and P. K. Varshney, “Sensor selection based on generalized information gain for target tracking in large sensor networks,” IEEE Transactions on Signal Processing, vol.62, pp.363–375, January 2014. [8] X. Shen*, S. Liu, and P. K. Varshney, “Sensor selection for nonlinear systems in large sensor networks,” IEEE Transactions on Aerospace and Electronic Systems, vol. 50, pp. 2664–2678, October 2014. [9] X. Shen, Y. Luo, Y. Zhu, and E. Song, “Globally optimal distributed Kalman filtering fusion,” SCIENCE CHINA—Information Sciences (Review, Special Focus), vol. 55, pp. 512–529, March 2012. [10] X. Shen, Y. Zhu, E. Song, and Y. Luo, “Minimizing Euclidean state estimation error for linear uncertain dynamic systems based on multisensor and multi-algorithm fusion,” IEEE Transactions on Information Theory, vol. 57, pp. 7131–7146, October 2011. [11] X. Shen, Y. Zhu, and Z. You, “An efficient sensor quantization algorithm for decentralized estimation fusion,” Automatica, vol. 47, pp. 1053–1059, May 2011. [12] X. Shen, Y. Zhu, L. He, and Z. You, “A near-optimal iterative algorithm via alternately optimizing sensor and fusion rules in distributed decision systems,” IEEE Transactions on Aerospace and Electronic Systems, vol. 47, pp. 2514–2529, October 2011. [13]X. Shen, Y. Luo, Y. Zhu, E. Song, and Z. You, “Globally optimal path update with adding or removing out-of-sequence measurements,” Automatica, vol. 46, pp. 1437–1442, September 2010. [14] E. Song, X. Shen, J. Zhou, Y. Zhu, and Z. You, “Performance analysis of communication direction for two-sensor tandem binary decision system,” IEEE Transactions on Information Theory, vol. 55, pp. 4777–4785, October 2009. [15] X. Shen, E. Song, Y. Zhu, and Y. Luo, “Globally optimal distributed Kalman fusion with local out-of-sequence-measurement updates,” IEEE Transactions on Automatic Control, vol. 54, pp. 1928–1934, August 2009. [16] X. Shen, Y. Zhu, E. Song, and Y. Luo, “Optimal centralized update with multiple local out-of-sequence measurements,” IEEE Transactions on Signal Processing, vol. 57, pp. 1551–1562, April 2009. [17] X. Shen, Y. Zhu, and L. Song, “Linear B-Spline copulas with applications to nonparametric estimation of copulas,” Computational Statistics & Data Analysis, vol. 52, pp. 3806–3819, March 2008.