何中市,男,博士,重庆大学计算机学院教授,博士生导师。重庆大学语言认知与智能计算学科博士点创建学术带头人。中国计算机学会人工智能与模式识别专业委员会委员,重庆市认知科学学会副理事长。重庆市学术技术带头人,重庆市高等学校优秀中青年骨干,入选重庆市“322重点人才工程”。

何中市利用数学统计学计算机科学解决工程技术与文学艺术中的应用问题。完成国家自然科学基金“计算机辅助文学艺术创作研究—诗词曲联”、863计划“基于视觉感知与认知机理的多模人物特征身份认证新方法与技术”、重庆市科技攻关“增强病变智能检测和辅助诊断软件系统的研制”、重庆市社会科学重点项目“大足石刻数字图像修复研究”等项目。2002年建立重庆大学机器学习研究室,开设机器学习课程,开展理工与文学艺术的交叉学科研究,培养毕业博士研究生28人,硕士研究生60余人。发表学术期刊论文100余篇,其中SCI检索30余篇、SSCI检索2篇、A\u0026HCI检索2篇,出版(合作)专著、教材5部。

人物经历

何中市1987年、1990年毕业于重庆大学应用数学专业,分别获理学学士、硕士学位;1996年毕业于重庆大学计算机科学理论专业,获工学博士学位;1999年9月至2001年8月在南非金山大学计算机学院作博士后研究。

研究方向

何中市主要研究人工智能、机器学习、计算机视觉、自然语言计算。

获得荣誉

国家级教学成果二等奖、全国科技进步奖(科技著作)二等奖各1项;

重庆市教学成果一等奖、重庆市科学技术进步二等奖各1项;

获得宝钢教育基金优秀教师,华为奖教金。

学术成果

论文

1. 2019-4 Haiyan Wang, Zhongshi He, Yiman He, Dingding Chen, Yongwen Huang. Average-face-based Virtual Inpainting for Severely Damaged Statues of Dazu Rock Carvings, Journal of Cultural Heritage,36( 2019): 40-50.(SCI,A\u0026HCI检索)

2. 2018-4 Jing Xuan,Zhongshi He,Liangyan Li. Brain-oriented Convolutional Neural Network Computer Style Recognition of Classical Chinese 诗歌 NEUROQUANTOLOGY,2018.4, 16(4):107-115(SCI检索)

3. 2017-11 Haiyan Wang, Zhongshi He, Yongwen Huang, Dingding Chen, Zexun Zhou. Bodhisattva head images modeling style recognition of Dazu Rock Carvings based on deep convolutional network. Journal of Cultural Heritage. 27 (2017) : 60–71.(SCI,A\u0026HCI检索)

4. 2017-1 YuanyuanJia,Ali Gholipour, Zhongshi He, Simon K. Warfield. A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume from Orthogonal Anisotropic Resolution Scans. IEEE Transactions on Medical Imaging,2017, 36(5):1182-1193. (SCI检索).

5. 2016-11 Li, Yinghao; He, Zhongshi; Zhu, Hao; Zou, Dongsheng; Zhang, Weiwei. A coarse-to-fine scheme for groupwiseregistration of multisensor Stock Images, INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016.11, 13(6):1-12. (SCI检索).

6. 2016-11 YuanyuanJia,Zhongshi He, Ali Gholipour, Simon K. Warfield. Single Anisotropic 3D MR image Upsampling via Over-complete Dictionary Trained from In-plane High Resolution slices. IEEE Journal of Biomedical and Health Informatics. 2016.11, 20(6): 1552-1561 (SCI检索).

7. 2016-8 Huazheng Zhu, Zhongshi He, Yuanyuan Jia. An Improved Reference Point Based Multi-objective Optimization by Decomposition. International Journal of Machine Learning and Cybernetics. , 2016.8, 7(4): 581-595. (SCI检索)

8. 2016-3 Huazheng Zhu, Zhongshi He, and Yuanyuan Jia. A Novel Approach to Multiple Sequence Alignment Using Multi-objective Evolutionary Algorithm Based on Decomposition. IEEE Journal of Biomedical and Health Informatics, 2016.3, 20(2): 717-727. (SCI检索).

9. 2016-1 Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao 吴语 Jointly Registering and Fusing Stock Images from Multiple Sensors. Information Fusion. 27(2016):85–94(SCI检索).

10. 2015-8 Pu Zhang, Zhongshi He. Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification. Journal of Information Science. 2015.8,41(4):531–549.(SCI , SSCI检索)

11. 2015-3陈善雄,何中市,熊海灵,廖剑.一种基于压缩感知的无线传感信号重构算,计算机学报,2015.3,38(3): 614-624.

12. 2014-2 Weiwei Zhang,Gary G. 日元 , Zhongshi He. Constrained Optimization via Artificial Immune System. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,FEB 2014, 44(2):185-198 . (SCI检索)

13. 2013-12 Zhang, Pu; He, Zhongshi. A weakly supervised approach to Chinese sentiment classification using partitioned self-training . JOURNAL OF INFORMATION SCIENCE. 2013.12,39(6): 815-831. (SCI , SSCI检索)

14. 2013-10 Hao Zhu, Henry Leung, and Zhongshi He. “State estimation in unknown non-Gaussian measurement noise using variational Bayesian technique,” IEEE Transactions on Aerospace and 电子学 and Systems, 2013.10, 49 (4):2601-2614. (SCI检索)

15. 2013-2 Hao Zhu, Henry Leung, and Zhongshi He. A Variational Bayesian Approach to Robust Sensor Fusion Based on Student-t Distribution,INFORMATION SCIENCES,2013.2,Vol.221: 201-214(SCI检索)

16. 2012-9 Xin Liu,Yufang Tian, Zhongshi He. An Improved Partial Grey Model,The Journal of Grey System, 2012.9,24(3): 209-216(SCI检索)

17. 2012-8 Zhongshi He, Xin Liu, Yinong Chen. Secondary-diagonal Mean Transformation Partial Grey Model based matrix series. Simulation Modelling Practice and Theory. 2012.8, Volume 26, Pages 168–184 .(SCI检索)

18. 2012-5 Hao Zhu, Zhongshi He and Henry Leung. Simultaneous Feature and Model slection for continuous Hidden Markov Models, submitted to IEEE SIGNAL PROCESSING LETTERS. 2012-1-10.IEEE Signal Processing Letters.2012.5,19(5):279-286, (SCI检索)

19. 2011-11 Hao Zhu, Zhongshi He, Shangbo Zhou. Lag synchronization of the fractional-order system via nonlinear observer.International Journal of Modern Physics B,NOV 20 2011,29(2011) 3951-3964. (SCI检索)

20. 2011-9 Xin Liu, Zhongshi He, Haizhu 金钟大 Partial Grey Model and It’s diagonal transformation, The Journal of Grey System. 2011.9,23(3):229-242.(SCI检索)

21. 2011-1 Zou, Dongsheng; He, Zhongshi; He, Jingyuan; Xia, Yuxian. Supersecondary structure prediction using Chou’s pseudo amino acid composition, JOURNAL OF COMPUTATIONAL 化学,2011.1,32(2):271-278.(SCI检索)

22. 2010-1 Lei Yu, Zhongshi He, Qi Cao. Gabor texture representation method for face recognition using theGamma and generalized Gaussian models,Image and Vision Computing,2010,28(1):177-187.(SCI检索)

专利

基于分割线的漫画帧识别与自动排序方法。发明(设计)人:何中市;焦丽敏;李佳;伍星;田玉芳。2014.8.

专著

(指导毕业博士出版专著)/教材

1.李建平、田缝春、曾理、易东、何中市、张万萍、何宇。小波分析与信号处理理论、应用和软件实现, 重庆出版集团,1997.12

2.刘琼荪、龚、何中市、傅鹂、任善强。数学实验(“十五”国家级规划教材),高教社,2004.7

3.李良炎。基于词联接的自然语言处理技术及其应用研究,学林出版社,2007.9

4.李良炎。信息依存句法标注模型,学林出版社,2009.2

5.代劲、宋娟、胡峰、伍建全。云模型与文本挖掘,人民邮电出版社,2013.2

6.王海燕、黄永文。大足石刻佛教造像脸部虚拟修复,重庆大学出版社,2019.1

项目

1.国家自然科学基金项目(计算机文学创作):计算机辅助文学艺术创作研究—诗词曲联(60173060).

2.国家863计划项目(计算机视觉分析):基于视觉感知与认知机理的多模人物特征身份认证新方法与技术(2007AA01Z423).

3.重庆市科技攻关项目(计算机医学诊断):增强病变智能检测和辅助诊断软件系统的研制(CSTC,2008AB5038).

参考资料

何中市-计算机学院主页.重庆大学计算机学院主页.2021-10-04