王世元，教授，博士生导师，IEEE Senior Member，IEEE TCASII副主编，重庆市电子学会高校电子技术专委会委员。
研究领域包括：自适应滤波器，室内定位与导航，组合导航，及生物信息学研究等。先后主持国家自然科学基金等项目10余项。近年来以第一作者或通信作者在IEEE Transactions on Automatic Control、IEEE Transactions on Circuits and Systems、IEEE Signal Processing Letters、Neurocomputing、Signal Processing、Digital Signal Processing、Circuits, Systems, and Signal Processing、Journal of Theoretical Biology、《电子学报》、《物理学报》和《电子与信息学报》等国内外学术刊物上发表论文70余篇，其中SCI/EI收录论文40余篇，谷歌学术的H-index为10。
主要承担数字信号处理、信号与系统、通信原理（双语课程）、电路分析以及矩阵分析等课程的教学任务。
联系邮箱：wsy@swu.edu.cn
学习和工作简历
2003.07-至今 西南大学电子信息工程学院，先后任助教（2003年），讲师（2006年），副教授（2012年），教授（2018年）。
2017.07-2017.09，香港理工大学电子及资讯工程学系，研究员。
2012.08-2013.08 香港理工大学电子及资讯工程学系，副研究员。
2012.03-2012.04 华南理工大学电子信息学院，访问****。
2006.09-2006.12 英国威尔士大学东北学院，访问****。
2015.12-2017.12，西南大学，博士后。
2008.09-2011.06 重庆大学，电路与系统，获工学博士学位（2012年度重庆市优秀博士论文）。
2002.09-2005.06 西南大学，信号与信息处理，获工学硕士学位。
1998.09-2002.06 西南大学，电子信息工程，获工学学士学位。
学术兼职
[1] IEEE Senior Member
[2] IEEE Transactions on Circuits and Systems II 副主编
[3] 重庆市电子学会高校电子技术专委会委员
[4] 华为网络工程师（Huawei Certified Network Engineer，HCNE）.
主持的部分科研项目
[1] 国家自然科学基金面上项目：基于再生核理论的非线性自适应滤波器（项目号：**，2017.01-2020-12，在研）
[2] 国家自然科学青年基金：求容积分卡尔曼滤波器的数值稳定算法探索及其在混沌通信中的应用.（项目号：**，2012.01-2014.12，已结题）
[3] 中国博士后科学基金面上资助一等资助：核自适应滤波器新方法探索与应用（项目号：2016M590853，2016.03-2017.12，已结题）
[4] 重庆市基础与前沿研究计划项目：重庆市基础与前沿研究计划项目：递归核自适应滤波器的网络结构和参数自适应调整策略研究（项目号：cstc2014jcyjA40020，2014.7-2017.6，已结题）
[5] 重庆市雏鹰计划项目:智能手环设计（项目号：Y170225，2017.10-2018.06，已结题）
[6] 中央高校基本科研业务费专项重点项目：基于数值积分方法的贝叶斯滤波理论探索及其在目标跟踪中的应用（项目号：XDJK2014B001：2014.1-2016.12，已结题）
近年的代表性学术成果
专著
[1] 王世元、黄锦旺、谢智刚、蒋云翔、冯久超. 非线性卡尔曼滤波器原理及应用，北京：电子工业出版社，2015年6月
学术期刊
[2] Shiyuan Wang, Jiuchao Feng and Chi K. Tse, "A class of stable square-root nonlinear information filters," IEEE Transactions on Automatic Control, vol. 59, no. 7, pp. 1893-1898, 2014. (SCI)
[3] Shiyuan Wang, Lujuan Dang, Badong Chen, Shukai Duan, Lidan Wang and Chi K. Tse, "Random Fourier filters under maximum correntropy criterion," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 10, pp. 3390-3343, 2018. (SCI)
[4] Shiyuan Wang, Lujuan Dang, Guobing Qian, and Yunxiang Jiang, "Kernel recursive maximum correntropy with Nystr?m approximation," Neurocomputing, vol. 329, no. 15, pp. 424-432, 2019. (SCI)
[5] Kui Xiong and Shiyuan Wang, "Robust least mean logarithmic square adaptive filtering algorithms," Journal of the Franklin Institute, vol. 356, no. 1, pp. 654-674, 2019. (SCI)
[6] Kui Xiong and Shiyuan Wang, "The online random Fourier features conjugate gradient algorithm," IEEE Signal Processing Letters, vol. 26, no. 5, pp. 740-744, 2019. (SCI)
[7] Shiyuan Wang, Yunfei Zheng, and Chengxiu Ling, "Regularized kernel least mean square algorithm with multiple-delay feedback," IEEE Signal Processing Letters, vol. 23, no.1, pp. 98-101, 2016. (SCI)
[8] Shiyuan Wang, Jiuchao Feng and Chi K. Tse, "Spherical simplex-radial cubature Kalman filter," IEEE Signal Processing Letters, vol. 21, no. 1, pp. 43-46, 2014. (SCI)
[9] Shiyuan Wang, Jiuchao Feng and Chi K. Tse, "Analysis of the characteristic of the Kalman gain for one-dimensional chaotic maps in cubature Kalman filter," IEEE Signal Processing Letters, vol. 20, no. 3, pp. 229-232, 2013. (SCI)
[10] Ji Zhao, Xiaofeng Liao, Shiyuan. Wang and Chi K. Tse, "Kernel least mean square with single feedback," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 953-957, July 2015. (SCI)
[11] Shiyuan Wang, Jiuchao Feng and Chi K. Tse, "Kernel affine projection sign algorithms for combating impulse interference," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 60. no. 11, pp. 811-815, 2013. (SCI)
[12] Shiyuan Wang, Wanli Wang, and Shukai Duan. "A class of weighted quantized kernel recursive least squares algorithms." IEEE Transactions on Circuits and Systems II: Express Briefs，vol. 64, no. 6, pp. 730-734, 2017. (SCI)
[13] Shiyuan Wang, Wanli Wang, Shukai Duan, and Lidan Wang. " Kernel recursive least squares with multiple feedback and its convergence analysis." IEEE Transactions on Circuits and Systems II: Express Briefs，vol. 64, no. 10, pp. 1237-1241, 2017. (SCI)
[14] Shiyuan Wang, Wanli Wang, Badong Chen, and Chi K. Tse. "Convergence analysis of nonlinear Kalman filters with novel innovation-based method," Neurocomputing, vol. 289, pp.194-194, 2018. (SCI)
[15] Shiyuan Wang, Yunfei Zheng, Shukai Duan, Lidan Wang, and Chi K. Tse, "A class of improved least sum of exponentials algorithms," Signal Processing, vol. 128, pp. 340-349, 2016. (SCI)
[16] Fei Wang, Yicong He, Shiyuan Wang, and Badong Chen, "Maximum total correntropy adaptive filtering against heavy-tailed noises, " Signal Processing, vol. 141, pp.84-95, 2017. (SCI)
[17] Yunfei Zheng, Shiyuan Wang, Jiuchao Feng and Chi K. Tse, "A modified quantized kernel least mean square algorithm for prediction of chaotic time series," Digital Signal Processing, vol. 48, pp.130-136, 2016. (SCI)
[18] Shiyuan Wang, Yunfei Zheng, Shukai Duan, Lidan Wang, and Hongtao Tan, "Quantized kernel maximum correntropy and its mean square convergence analysis," Digital Signal Processing, vol. 63, pp. 164-176, 2017. (SCI)
[19] Badong Chen, Xin Wang, Na Lu, Shiyuan Wang, Jiuwen Cao, and Jing Qin, "Mixture correntropy for robust learning," Pattern Recognition, vol. 79, pp. 318-327, 2018. (SCI).
[20] Shiyuan Wang, Wenjie Zhang, Chao Yin, and Yali Feng, "Huber-based unscented Kalman filters with the q-gradient," IET Science Measurement & Technology, vol. 11, no. 4, 2017. (SCI)
[21] Shiyuan Wang, Chao Yin, Shukai Duan, and Lidan Wang, "A modified variational Bayesian noise adaptive Kalman filter, " Circuits Systems & Signal Processing, vol.36, no. 10, pp.4260-4277, 2017. (SCI)
[22] Wenjie Zhang, Shiyuan Wang, and Yali Feng, "Novel simplex Kalman filters," Circuits Systems and Signal Processing, vol. 36, no. 2, pp. 879-893, 2017. (SCI)
[23] Shiyuan Wang, Jiuchao Feng and Chi K. Tse "Novel cubature Kalman filtering for systems involving nonlinear states and linear measurements," AEU-International Journal of Electronics and Communications, vol. 69, no. 1, pp. 314-320, 2015. (SCI)
[24] Wenjie Zhang, Shiyuan Wang, and Yali Feng, "Novel simplex Kalman filters," Circuits Systems and Signal Processing, vol. 36, no. 2, pp. 879-893, 2017. (SCI)
[25] Shiyuan Wang, Yunfei Zheng, Shukai Duan, and Lidan Wang. "Simplified quantised kernel least mean square algorithm with fixed budget, " Electronics Letters. vol. 52, no. 17, pp. 1453-1455, 2016. (SCI)
[26] Yunxiang Jiang, Francis C.M. Lau, Shiyuan Wang, and Chi K. Tse, “Parameter identification of chaotic systems by a novel dual particle swarm optimization,” International Journal of Bifurcation & Chaos, vol. 26, no. 02, pp. 165024, 2016. (SCI)
[27] 王世元，史春芬，钱国兵，王万里，“基于分数阶最大相关熵算法的混沌时间序列预测,”物理学报，vol. 67, no. 1, pp.018401, 2018.(SCI)
[28] 张文杰, 王世元, 冯亚丽, 冯久超, "基于Huber的高阶容积卡尔曼跟踪算法," 物理学报, vol. 65, no.8, pp. 88401, 2016. (SCI)
[29] 王世元, 冯久超. "一种新的参数估计方法及其在混沌信号盲分离中的应用," 物理学报, vol. 61, no. 17, pp. 170508. 2012. (SCI)
国际会议
[30] Kui Xiong, Guobing Qian, Zhengji Long, and Shiyuan Wang, "Extended random Fourier features recursive non-quadratic algorithm," International Conference on Electronic Information and Communication Technology, pp. 768-772, 2019. (Best paper award)
[31] Wanli Wang, Shiyuan Wang, Guobing Qian, and Bo Yang, “Kernel least mean square with tracking,” Chinese Control Conference, pp.5100-5104, 2017.
[32] Wenyue Wang, Chunfen Shi, Wanli Wang, Lujuan Dang, and Shiyuan Wang, “online sequential extreme learning machine algorithms based on maximum correntropy criterion,” International Conference on Information Fusion, pp. 1-7, 2017.
[33] Lujuan Dang, Wanli Wang, Qitang Sun, Zhengji Long, Guobing Qian, and Shiyuan Wang, “Hammerstein adaptive filter with single feedback under minimum mean square error,” International Conference on Information Fusion, PP.1-7, 2017.
[34] Lujuan Dang, Yunfei Zheng, Shiyuan Wang, Wanli Wang, and Qitang Sun, “A novel least cauchy error algorithm and its kernel extension,” International Congress on Image & Signal processing, Biomedical Engineering and Informatics, pp. 925-929, 2017.
[35] Chao Yin, Yunfei Zheng, Shiyuan Wang, Yali Feng, and Wenjie Zhang, “Spherical simplex-radial cubature information filter,” International Congress on Image & Signal processing, Biomedical Engineering and Informatics, pp.940-944, 2017.
[36] Yunfei Zheng, Shiyuan Wang, Yali Feng, Wenjie Zhang, and Qingan Yang, “Convex combination of quantized kernel least mean square algorithm,” Sixth International Conference on Intelligent Control and Information Processing, pp. 186-190, 2016.
[37] Yali Feng, Qingan Yang, Shiyuan Wang, Wenjie Zhang, and Yunfei Zheng, “Novel cubature Kalman filters based on mixed degrees,” Sixth International Conference on Intelligent Control and Information Processing, pp.220-224, 2016.
[38] Shiyuan Wang, Yunfei Zheng, and Shukai Duan, “Sparse Huber adaptive filter with correntropy induced metric penalty,” Chinese Control Conference, pp. 4967-4971, 2016.
专利
[1] 王世元, 杨波, 龙正吉, 钱国兵, 段书凯, 王丽丹, 一种新型滤波跟踪装置, 申请日期:2017年3月28日, 授权日期：2017年11月24日, 申请号：5.4.
[2] 王世元, 张龙龙, 龙正吉, 钱国兵, 段书凯, 王丽丹, 一种家用自助体检系统及应用该系统的手环. 申请日期:2017年3月28日, 授权日期：2017年12月26日, 申请号：6.X.
[3] 王世元，冯亚丽，尹超，钱国兵，段书凯，王丽丹, 一种基于确定性采样的增广卡尔曼跟踪方法. 申请日期：2016年10月17日，申请号：7.4.
[4] 王世元, 尹超，钱国兵，冯亚丽，段书凯，王丽丹, 一种基于统计线性回归的最大相关熵容积卡尔曼滤波算法. 申请日期： 2016年9月30日，申请号：1.0.
[5] 邱宇, 方艺, 王世元, 谭洪涛, 黄琼俭, 一种结合曲线波的基于图像子块相似性的图像去噪方法. 申请日期: 2011年11月10日, 授权日期：2014年4月2日，申请号: 8.9.
获奖情况
[1] 2013年9月，博士学位论文《基于信号处理技术的生物序列相似性分析与基因识别》荣获2012年度“重庆市优秀博士学位论文”。
[2] 2010年12月，论文（Shiyuan Wang, Fengchun Tian, Wenjiang Feng, et al., Applications of representation method for DNA sequences based on symbolic dynamics[J]. Journal of Molecular Structure: THEOCHEM, 2009, 909 (1-3): 33-42.）在重庆大学“研究生创新实践能力大奖赛”被评为博士最佳学科论文。
[3] 2018年9月10日，西南大学优秀教师。
[4] 西南大学2007-2008年度，2014-2016年度优秀共产党员。
[5] 2016年6月，西南大学优秀本科毕业论文一等奖，（题目：基于无线电能传输的手机充电系统，学生：何颖)。
[6] 2016年5月，西南大学电子信息工程学院第十一届教师课堂教学比赛一等奖。
[7] 2014年6月和2015年6月，分别指导学生获得第七届和第八届重庆大学生“合泰杯”单片机应用设计竞赛二等奖和三等奖。
[8] 2008年6月，西南大学优秀本科毕业论文二等奖，（题目：IP核的软硬件协同验证，学生：付维)。
[9] 2010年6月，西南大学优秀本科毕业论文三等奖，（题目：基于数字信号处理方法的基因识别，学生：李博成；基于分形的图像编码技术，学生：马赫)。
[10] 2011年6月，西南大学优秀本科毕业论文三等奖，（题目：应用FPGA实现逻辑分析仪设计，学生：朱明明)
[11] 2011年11月，全国大学生电子设计竞赛重庆市二等奖，指导学生：张旭东等3人。
[12] 2011年11月，全国大学生电子设计竞赛重庆赛区优秀征题奖。