重慶郵電大學計算機學院米建勛簡介
基本介紹
- 中文名：米建勛
- 國籍：中國
- 民族：漢族
- 出生地：重慶
- 畢業院校：中國科學技術大學
- 學位/學歷：博士
- 專業方向：人工智慧 計算機視覺 機器學習
- 職務：重慶郵電大學大數據智慧型化產業技術協同創新研究院 副院長、博士生導師
- 職稱：教授
學習經歷：
博士學位:
·專業:模式識別與智慧型系統
學士學位:
2000.9-2004.7在四川大學自動化系讀本科，獲得學士學位。保送中科大攻讀研究生。
工作經歷：
2013年9月開始，在重慶郵電大學，計算機科學與技術學院，任教。
主要研究領域：
人工智慧、 模式識別、 智慧型計算
發表學術論文：
1. Jian-Xun Mi and De-Shuang Huang, “Image compression using principal component neural network,” The 8th International Conference on Control, Automation, Robotics and Vision (ICARCV2004), pp.698-701,2004（SCI）
2. De-Shuang Huang and Jian-Xun Mi, "A new constrained independent component analysis method," IEEE Transactions on Neural networks, Volume 18,Issue 5,Sept. 2007 Page(s):1532 – 1535 (SCI)
3. Jian-Xun Mi and Jie Gui, “A method for ICA with reference signals” The 6th International Conference on Intelligent Computing, Aug. 2010 ,LNCS Volume 6216.pp.156-162 （EI）
4. Jian-Xun Mi, “A New Subspace Approach for Face Recognition”. The 7th International Conference on Intelligent Computing, 2011, Bio-Inspired Computing and Applications. vol. 6840, 2012, pp. 551-557. （EI）
5. Jian-Xun Mi, J.-X. Liu, and J. Wen, "New Robust Face Recognition Methods Based on Linear Regression," Plos One, vol. 7, p. e42461, 2012（SCI）
6. Jian-Xun Mi and Y. Yang, "A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods," in Emerging Intelligent Computing Technology and Applications. vol. 304, D.-S. Huang, P. Gupta, X. Zhang, and P. Premaratne, Eds., ed: Springer Berlin Heidelberg, 2012, pp. 93-99. (EI)
7. C. H. Zheng, J.-X. Liu, Jian-Xun Mi, and Y. Xu, "Identifying Characteristic Genes Based on Robust Principal Component Analysis Emerging Intelligent Computing Technology and Applications." vol. 304, D.-S. Huang, P. Gupta, X. Zhang, and P. Premaratne, Eds., ed: Springer Berlin Heidelberg, 2012, pp. 174-179. (EI)
8. Jian-Xun Mi, "Face image recognition via collaborative representation on selected training samples," Optik - International Journal for Light and Electron Optics (DOI: 10.1016/j.ijleo.2012.10.051) （SCI）
9.Jian-Xun Mi, De-Shuang Huang, Bing, Wang, Xingjie Zhu“The Nearest-farthest Subspace Classification for Face Recognition.” Neurocomputing, vol. 113, pp. 241-250, 2013. (DOI: 10.1016/j.neucom.2013.01.003) （SCI）
10. Jian-Xun Mi, J.-X. Liu, “Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace”, PLoS ONE 8(3): e59430. doi:10.1371/journal.pone.0059430 （SCI）
11. Jian-Xun Mi and Y. Xu, "A comparative study and improvement of two ICA using reference signal methods," Neurocomputing, vol. 137, pp. 157-164, Aug 2014.
12. Y. Zhao, H. He, and Jian-Xun Mi, "Noisy component extraction with reference," Frontiers of Computer Science, pp. 1-10, 2013/01/01 2013 (DOI:10.1007/s11704-013-1135-5). （SCI）
13. J. Wen, J. Cui, Z. Lai, and Jian-Xun Mi, "A Competitive Sample Selection Method for Palmprint Recognition," in Intelligent Science and Intelligent Data Engineering. vol. 7751, J. Yang, F. Fang, and C. Sun, Eds., ed: Springer Berlin Heidelberg, 2013, pp. 158-164. (EI)
14. Yong Xu, Qi Zhua, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai, “Using the idea of the sparse representation to perform coarse to fine face recognition’, Information Sciences, Information Sciences, vol. 238, pp. 138-148, 2013. ( DOI: 10.1016/j.ins.2013.02.051) （SCI,）
15. Jiajun Wen, Yan Chen, Jian-Xun Mi, “A palmprint recognition method based on multi-step representation”， Optik (Accepted) （SCI）
16. J.-X. Liu, Y.-T. Wang, C.-H. Zheng, W. Sha, Jian-Xun Mi, and Y. Xu, "Robust PCA based method for discovering differentially expressed genes," BMC Bioinformatics, vol. 14, p. S3, 2013. （SCI）
17. Jian-Xun Mi, D. Lei, and J. Gui, "A novel method for recognizing face with partial occlusion via sparse representation," Optik - International Journal for Light and Electron Optics, vol. 124, pp. 6786-6789, 12, 2013.（SCI）
18. Jian-Xun Mi, "A Novel Algorithm for Independent Component Analysis with Reference and Methods for Its Applications,"PLoS ONE, vol. 9, p. e93984, May 14, 2014.
19. J.-X. Liu, J. Liu, Y.-L. Gao, Jian-Xun Mi, C.-X. Ma, and D. Wang, "A Class-Information-Based Penalized Matrix Decomposition for Identifying Plants Core Genes Responding to Abiotic Stresses," PLoS ONE, vol. 9, p. e106097, 2014. （SCI）
研究項目
1.“基於表達殘差稀疏性的遮擋人臉識別方法研究“ 國家自然基金項目（青年）22萬元人民幣（項目編號61202276），2013年1月至2015年12月 （項目主持人）
2.“基於線性表達模型的人臉識別方法研究” 中國博士後科學基金第53批面上資助 （項目主持人）
3.“一種基於誤差糾正的人臉識別方法研究” 重慶郵電大學青年科學研究項目（項目主持人）
4.一種基於糾錯解碼的人臉識別方法
5.“面向複雜環境下的魯棒人臉識別研究” 重慶市教委科學技術研究項目（項目主持人，立項編號：）2015年07月 至2017年6月
專利
“一種人臉識別的方法及設定“ 發明專利，申請號201410088003.5，申請日期2014年03月11日
