网站综合信息 www.guoquan.org
- 标题:
- Blah Blah
- 关键字:
- Guo Quan Neural Network Deep Learning
- 描述:
- GUO Quan not blah blah every day.
- 域名信息
- 域名年龄:13年7个月29天 注册日期:2010年08月26日 到期时间:2014年08月26日
邮箱:guoquan_scu 电话:+86.02885417220
注册商:GoDaddy.com, LLC (R91-LROR)
- 服务器空间
- IP:192.30.252.154 同IP网站58个 详情
地址:局域网
- 备案信息
- 备案号:
域名流量Alexa排名
域名注册Whois信息
guoquan.org
域名年龄: 13年7个月29天注册时间: 2010-08-26
到期时间: 2014-08-26
注 册 商: GoDaddy.com, LLC (R91-LROR)
注册邮箱: guoquan_scu
联系电话: +86.02885417220
获取时间: 2014年01月05日 01:13:12
Access to .ORG WHOIS information is provided to assist persons in
determining the contents of a domain name registration record in the
Public Interest Registry registry database. The data in this record is provided by
Public Interest Registry for informational purposes only, and Public Interest Registry does not
guarantee its accuracy. This service is intended only for query-based
access. You agree that you will use this data only for lawful purposes
and that, under no circumstances will you use this data to: (a) allow,
enable, or otherwise support the transmission by e-mail, telephone, or
facsimile of mass unsolicited, commercial advertising or solicitations
to entities other than the data recipient's own existing customers; or
(b) enable high volume, automated, electronic processes that send
queries or data to the systems of Registry Operator, a Registrar, or
Afilias except as reasonably necessary to register domain names or
modify existing registrations. All rights reserved. Public Interest Registry reserves
the right to modify these terms at any time. By submitting this query,
you agree to abide by this policy.
Domain ID:D159989881-LROR
Domain Name:GUOQUAN.ORG
Created On:2010-Aug-26 08:42:11 UTC
Last Updated On:2013-Jul-07 07:33:04 UTC
Expiration Date:2014-Aug-26 08:42:11 UTC
Sponsoring Registrar:GoDaddy.com, LLC (R91-LROR)
Status:CLIENT DELETE PROHIBITED
Status:CLIENT RENEW PROHIBITED
Status:CLIENT TRANSFER PROHIBITED
Status:CLIENT UPDATE PROHIBITED
Registrant ID:CR111999117
Registrant Name:Guo Quan
Registrant Organization:Guo Quan
Registrant Street1:Wangjiang Campus of Sichuan Univ.
Registrant Street2:
Registrant Street3:
Registrant City:Chengdu
Registrant State/Province:
Registrant Postal Code:610000
Registrant Country:CN
Registrant Phone:+86.02885417220
Registrant Phone Ext.:
Registrant FAX:+86.02885417220
Registrant FAX Ext.:
Registrant Email:guoquan_scu
Admin ID:CR111999121
Admin Name:Guo Quan
Admin Organization:Guo Quan
Admin Street1:Wangjiang Campus of Sichuan Univ.
Admin Street2:
Admin Street3:
Admin City:Chengdu
Admin State/Province:
Admin Postal Code:610000
Admin Country:CN
Admin Phone:+86.02885417220
Admin Phone Ext.:
Admin FAX:+86.02885417220
Admin FAX Ext.:
Admin Email:guoquan_scu
Tech ID:CR111999119
Tech Name:Guo Quan
Tech Organization:Guo Quan
Tech Street1:Wangjiang Campus of Sichuan Univ.
Tech Street2:
Tech Street3:
Tech City:Chengdu
Tech State/Province:
Tech Postal Code:610000
Tech Country:CN
Tech Phone:+86.02885417220
Tech Phone Ext.:
Tech FAX:+86.02885417220
Tech FAX Ext.:
Tech Email:guoquan_scu
Name Server:NS2.ANQUANBAO.COM
Name Server:NS1.ANQUANBAO.COM
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
Name Server:
DNSSEC:Unsigned
网站头文件(HTTP Header)
HTTP/1.1 301 永久重定向 服务器:GitHub.com 访问时间:2017年03月12日 15:58:40 类型:text/html 文件大小:178 目标网址:http://guoquan.org/ X-GitHub-Request-Id: C9C4:4063:15FDE22:1E55D8E:58C4FFB0 HTTP/1.1 200 OK 服务器:GitHub.com 访问时间:2017年03月12日 15:58:40 类型:text/html; charset=utf-8 Transfer-Encoding: chunked 修改日期:2017年01月27日 14:05:24 Access-Control-Allow-Origin: * 过期时间:2017年03月12日 16:08:41 缓存控制:max-age=600 Content-Encoding: gzip X-GitHub-Request-Id: BBCF:4065:2F2C100:3F59A43:58C4FFB1 网站编码:utf-8
同IP网站(同服务器)
其他后缀域名
网站首页快照(纯文字版)
抓取时间:2017年03月12日 15:58:30
网址:http://www.guoquan.org/
标题:Blah Blah
关键字:Guo Quan, Neural Network, Deep Learning
描述:GUO Quan not blah blah every day.
主体:
网址:http://www.guoquan.org/
标题:Blah Blah
关键字:Guo Quan, Neural Network, Deep Learning
描述:GUO Quan not blah blah every day.
主体:
郭泉 | GUO Quannot blah blah every day我 | About我是郭泉，中国四川大学计算机学院机器智能实验室的博士生，导师是章毅教授。我分别于2013年和2010年在四川大学获得了理学硕士和工学学士学位。请查看简历、GitHub页面、领英页面以及谷歌学术页面。I am Quan Guo, currently a Ph.D. student in Machine Intelligence Lab at College of Computer Science, Sichuan University,China, supervised by Professor Zhang Yi. I also received my Master's degree and Bachelor's degree from Sichuan University in 2013 and 2010 respectively.Check the CV, GitHub profile, the LinkedIn profile, and the Google Scholar page.研究兴趣 | Research Interest机器智能 | Machine Intelligence认知科学 | Cognitive Science神经科学 | Neuroscience神经网络 | Neural Networks回复式神经网络 | Recurrent Neural Networks深度学习 | Deep Learning近期论文 | Recent Publications2017Z. Yi, Q. Guo, and J. Wang, "Big data analysis using neural networks," Advanced Engineering Sciences, vol. 49, iss. 1, pp. 9-18, 2017. [BibTeX][Download PDF]@ARTICLE{zhang2017aes,author={Zhang Yi and Quan Guo and Jianyong Wang},journal={Advanced Engineering Sciences},title={Big data analysis using neural networks},year={2017},volume={49},number={1},pages={9-18},url={http://dx.doi.org/10.15961/j.jsuese.2017.01.002},}2016Q. Guo, H. Zhang, and Z. Yi, "High-Order Measurements for Residual Classifiers," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2016. [BibTeX][Download PDF]@ARTICLE{quan2016tnnls,author={Quan Guo and Haixian Zhang and Zhang Yi},journal={IEEE Transactions on Neural Networks and Learning Systems},title={High-Order Measurements for Residual Classifiers},year={2016},url={http://dx.doi.org/10.1109/TNNLS.2016.2515128},}Q. Guo, J. Jia, G. Shen, L. Zhang, L. Cai, and Z. Yi, "Learning Robust Uniform Features for Cross-media Social Data by Using Cross Autoencoders," Knowledge-Based Systems, vol. 102, pp. 64-75, 2016. [BibTeX][Download PDF]@ARTICLE{quan2016kbs,author={Quan Guo and Jia Jia and Guangyao Shen and Lei Zhang and Lianhong Cai and Zhang Yi},journal={Knowledge-Based Systems},title={Learning Robust Uniform Features for Cross-media Social Data by Using Cross Autoencoders},year={2016},volume={102},pages={64-75},url={http://dx.doi.org/10.1016/j.knosys.2016.03.028},}Y. Sun, H. Mao, Q. Guo, and Z. Yi, "Learning a good representation with unsymmetrical auto-encoder," Neural Computing and Applications, vol. 27, iss. 5, pp. 1361–1367, 2016. [BibTeX][Download PDF]@ARTICLE{yanan2016nca,author={Yanan Sun and Hua Mao and Quan Guo and Zhang Yi},journal={Neural Computing and Applications},title={Learning a good representation with unsymmetrical auto-encoder},year={2016},volume={27},number={5},pages={1361–1367},url={http://dx.doi.org/10.1007/s00521-015-1939-3},}K. Li, Q. Guo, and J. Guo, "Novel Algorithms for Reducing Bladder Volume Estimation Error Caused by Scanning Positions," International Journal of Computer Mathematics, Online Early Access, 2016. [BibTeX][Download PDF]@ARTICLE{kang2016ijcm,author={Kang Li and Quan Guo and Jixiang Guo},journal={International Journal of Computer Mathematics},title={Novel Algorithms for Reducing
最近查询网站