王世元(西南大學教授)

王世元(西南大學教授)

王世元,西南大學教授,博士生導師,IEEE Senior Member,IEEE TCASII副主編,重慶市電子學會高校電子技術專委會委員。研究領域包括:自適應濾波器,室內定位與導航,組合導航,及生物信息學研究等。先後主持國家自然科學基金等項目10餘項。近年來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、《電子學報》、《物理學報》和《電子與信息學報》等國內外學術刊物上發表論文60餘篇,其中SCI/EI收錄論文30餘篇,谷歌學術的H-index為10。

基本介紹

  • 中文名:王世元
  • 外文名:Shiyuan Wang
  • 職位:博士,博士後,教授
  • 研究領域包括:自適應信號處理
人物經歷,主講課程,主要貢獻,

人物經歷

2003.07- 西南大學電子信息工程學院,先後任助教(2003年),講師(2006年),副教授(2012年),教授(2018年)。
2017.07-2017.09,香港理工大學電子及資訊工程學系,研究員。
2012.08-2013.08 香港理工大學電子及資訊工程學系,副研究員。
2012.03-2012.04 華南理工大學電子信息學院,訪問學者。
2006.09-2006.12 英國威爾斯大學東北學院,訪問學者。
2015.12-2017.12,西南大學,博士後。
2008.09-2011.06 重慶大學,電路與系統,獲工學博士學位(2012年度重慶市優秀博士論文)。
2002.09-2005.06 西南大學,信號與信息處理,獲工學碩士學位。
1998.09-2002.06 西南大學,電子信息工程,獲工學學士學位。

主講課程

主要承擔數位訊號處理、信號與系統、通信原理(雙語課程)、電路分析以及矩陣分析等課程的教學任務。

主要貢獻

先後主持國家自然科學基金等項目10餘項。近年來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、《電子學報》、《物理學報》和《電子與信息學報》等國內外學術刊物上發表論文60餘篇,其中SCI/EI收錄論文30餘篇,谷歌學術的H-index為10。
主持的部分科研項目
[1]國家自然科學基金面上項目:基於再生核理論的非線性自適應濾波器(項目號:61671389,2017.01-2020-12,在研)
[2]國家自然科學青年基金:求容積分卡爾曼濾波器的數值穩定算法探索及其在混沌通信中的套用.(項目號:61101232,2012.01-2014.12,已結題)
[3]中國博士後科學基金面上資助一等資助:核自適應濾波器新方法探索與套用(項目號:2016M590853,2016.03-2017.12,已結題)
[4]重慶市基礎與前沿研究計畫項目:重慶市基礎與前沿研究計畫項目:遞歸核自適應濾波器的網路結構和參數自適應調整策略研究(項目號:cstc2014jcyjA40020,2014.7-2017.6,已結題)
[5]重慶市雛鷹計畫項目:智慧型手環設計(項目號:Y170225,2017.10-2018.06,已結題)
[6]中央高校基本科研業務費專項重點項目基於數值積分方法的貝葉斯濾波理論探索及其在目標跟蹤中的套用(項目號:XDJK2014B001:2014.1-2016.12,已結題)
學術兼職
[1] IEEE Senior Member
[2] IEEE Transactions on Circuits and Systems II 副主編
[3] 重慶市電子學會高校電子技術專委會委員
[4] 華為網路工程師(Huawei Certified Network Engineer,HCNE).
近年的代表性學術成果
專著
[1] 王世元、黃錦旺、謝智剛、蔣雲翔、馮久超. 非線性卡爾曼濾波器原理及套用,北京:電子工業出版社,2015年6月
學術期刊
[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, 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)
[5] 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)
[6]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)
[7] 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)
[8]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)
[9]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)
[10] 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)
[11] 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)
[12] 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)
[13] 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)
[14] 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)
[15] 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)
[16] 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).
[17] 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)
[18] 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)
[19] 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)
[20] 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)
[21] 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)
[22] 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)
[23] 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)
[24] 王世元,史春芬,錢國兵,王萬里,“基於分數階最大相關熵算法的混沌時間序列預測,”物理學報,vol. 67, no. 1, pp.018401, 2018.(SCI)
[25] 張文杰, 王世元, 馮亞麗, 馮久超, "基於Huber的高階容積卡爾曼跟蹤算法," 物理學報, vol. 65, no.8, pp. 88401, 2016. (SCI)
[26] 王世元, 馮久超. "一種新的參數估計方法及其在混沌信號盲分離中的套用," 物理學報, vol. 61, no. 17, pp. 170508. 2012. (SCI)
國際會議
[27] Wanli Wang, Shiyuan Wang, Guobing Qian, and Bo Yang, “Kernel least mean square with tracking,” Chinese Control Conference, pp.5100-5104, 2017.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] Shiyuan Wang, Yunfei Zheng, and Shukai Duan, “Sparse Huber adaptive filter with correntropy induced metric penalty,” Chinese Control Conference, pp. 4967-4971, 2016.
專利
[1] 王世元, 楊波, 龍正吉, 錢國兵, 段書凱, 王麗丹, 一種新型濾波跟蹤裝置, 申請日期:2017年3月28日, 授權日期:2017年11月24日, 申請號:201720313685.4.
[2] 王世元, 張龍龍, 龍正吉, 錢國兵, 段書凱, 王麗丹, 一種家用自助體檢系統及套用該系統的手環. 申請日期:2017年3月28日, 授權日期:2017年12月26日, 申請號:201720312296.X.
[3] 王世元,馮亞麗,尹超,錢國兵,段書凱,王麗丹, 一種基於確定性採樣的增廣卡爾曼跟蹤方法. 申請日期:2016年10月17日,申請號:201610901537.4.
[4] 王世元, 尹超,錢國兵,馮亞麗,段書凱,王麗丹, 一種基於統計線性回歸的最大相關熵容積卡爾曼濾波算法. 申請日期: 2016年9月30日,申請號:201610871781.0.
[5] 邱宇, 方藝, 王世元, 譚洪濤, 黃瓊儉, 一種結合曲線波的基於圖像子塊相似性的圖像去噪方法. 申請日期: 2011年11月10日, 授權日期:2014年4月2日,申請號: 201110354048.9.
獲獎情況
[1] 2013年9月,博士學位論文《基於信號處理技術的生物序列相似性分析與基因識別》榮獲2012年度“重慶市優秀博士學位論文”。
[2] 2010年12月,論文(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.)在重慶大學“研究生創新實踐能力大獎賽”被評為博士最佳學科論文。
[3] 2016年6月,西南大學優秀本科畢業論文一等獎,(題目:基於無線電能傳輸的手機充電系統,學生:何穎)。
[4] 2016年5月,西南大學電子信息工程學院第十一屆教師課堂教學比賽一等獎。
[5] 2014年6月和2015年6月,分別指導學生獲得第七屆和第八屆重慶大學生“合泰杯”單片機套用設計競賽二等獎和三等獎。
[6] 2008年6月,西南大學優秀本科畢業論文二等獎,(題目:IP核的軟硬體協同驗證,學生:付維)。
[7] 2010年6月,西南大學優秀本科畢業論文三等獎,(題目:基於數位訊號處理方法的基因識別,學生:李博成;基於分形的圖像編碼技術,學生:馬赫)。
[8] 2011年6月,西南大學優秀本科畢業論文三等獎,(題目:套用FPGA實現邏輯分析儀設計,學生:朱明明)
[9] 2011年11月,全國大學生電子設計競賽重慶市二等獎,指導學生:張旭東等3人。
[10] 2011年11月,全國大學生電子設計競賽重慶賽區優秀征題獎。
[11] 西南大學2007-2008年度,2014-2016年度優秀共產黨員。

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