Basic Information

 

          Deyu Meng (孟德宇)

          副教授, 博导
          Associate Professor

          西安交通大学
          数学与统计学院
          信息与系统科学研究所
          西安,陕西,710049

           Institute for Information and System Sciences

           Faculty of Mathematics and Statistics

          Xi’an Jiaotong University 

           Xi’an, Shaan’xi Province, P. R. China, 710049

 

           办公室:      理科楼405

           Office:        Science Building #405
           Tel(电话):  +86 29 8266 3832

 

XJTU Homepage(西安交通大学主页):     http://gr.xjtu.edu.cn/web/dymeng

CMU Homepage(卡内基梅隆大学主页): http://www.cs.cmu.edu/~deyum

Email(邮箱): dymeng at mail dot xjtu dot edu dot cn

Google Scholar: https://scholar.google.com/citations?user=an6w-64AAAAJ&hl=en

  

Senior Program Committee:
AAAI 2016, IJCAI 2017

 

Technical Program Committee:

AAAI 2017, AISTATS 2017, CVPR 2017

CVPR 2016; ICML 2016; ECCV 2016; IJCAI 2016 (subreviewer), CCDM 2016, BICS 2016, ACCV 2016, DLPR 2016

NIPS 2015; ICCV 2015; ACM MM 2015; ICML 2015; PSIVT 2015; RSL-CV 2015,中国计算机视觉大会(CCCV) 2015;

ACM MM 2014; ICPR 2014; ACCV 2014; 中国计算机大会(CNCC) 2014 and others.

 

Journal Reviewer:
IEEE Transactions on Pattern Analysis and Machine Intelligence; IEEE Transactions on Image Processing; IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Automation Science and Engineering; IEEE Transactions on SMC-B; IEEE Transactions on cybernetics; Signal Processing; Neural Networks, International Journal of Computer Vision, Pattern Recognition Letters; Neural Computing and Applications; International Journal of Machine Learning and Cybernetics; Computers & Mathematics with Applications; Knowledge and Information Systems; International Journal of Biomathematics; Infrared Physics & Technology; Information Sciences; International Journal of Remote Sensing; Neurocomputing; 中国科学F辑:信息科学;计算机学报; 电子学报; 模式识别与人工智能; 自动化学报, 计算机研究与发展and others.

 

特别提示: 

我们正在组织视觉与学习青年学者研讨会(VALSE)主办的Webinar,欢迎大家参与,欢迎大家注册VALSE在线网站并参与讨论。

欢迎大家参加于2016年9月18-20日在上海举办的计算机视觉研究与应用创新论坛RACV 2016

欢迎具有良好数学基础、编程基础,有志于从事机器学习、数据挖掘与人工智能领域研究的同学报考硕士/博士研究生。请有报考意向学生提前通过邮件发送简历联系。

 

 

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