澳门新葡新京app下载-澳门新葡新京官方网站【官网下载】

沙灜

姓名

沙灜

性别




职称

教授

学位

博士

电话

13681189556

邮箱

shaying@mail.hzau.edu.cn

工作单位

华中农业大学澳门新葡新京app下载

研究方向

社会计算、自然语言处理

教育经历

2015.06 - 2016.8  美国伦斯勒理工学校(Rensselaer Polytechnic Institute,RPI)        访问学者

1998.09–2002.07  中国科学校计算技术研究所  计算机软件与理论 博士

1995.09–1998.07  大连海事大学 通信与电子系统  硕士

1991.09–1995.07  大连海事大学 通信工程  学士

主要职历

2019.08 – 至今     华中农业大学澳门新葡新京app下载 教授,博士生导师

2012.01– 2019.08  中国科学校信息工程研究所  副研究员,博士生导师

2002.08 - 2011.12  中国科学校计算技术研究所  助理研究员

科研成果

以课题负责人身份承担了国家科技支撑计划、国家自然科学基金面上项目、863子课题、国家信息安全计划等十余项课题。在SIGIR、AAAI、CIKM、ICDM等国际学术会议和期刊上累计发表学术论文30余篇,授权专利10余项,软件著作权登记20余项。获2017保密科学技术二等奖,出版2部译著。

(1).以课题负责人承担的科研项目:

1.2017.1-2018-12.社交网络舆情获取、分析与引导系统.公司项目.260万

2.2012.10-2015.10.社交网络人物、群体发现分析及示范应用平台.国家科技支撑项目.548万

3.2011.1-2013.12.主动测量技术对非结构对等网络的影响及其校准技术的研究(61070184).国家自然科学基金面上项目.30万

4.2017.3-2017.12.社交网络数据采集、舆情分析 国家保密局科研项目.88万

5.2017.4-2018.3.社交网络分析.国家信息安全计划.80万

6.2014.1-2015.3.主流社交网络数据获取与分析.国家信息安全计划.80万

7.2014.10-2015.10.IP复用平台多通道数据获取与分析.国家信息安全计划.50万

8.2013.6-2015.6.社交网络数据获取与分析(二期、三期).国家863子课题.90万

9.2012.11-2013.7.网络数据获取与分析.国家保密局科研项目.40万

10.2007.11-2011.8.分布式安全通信技术.国家信息安全计划.40万

(2).学术论文

1. Changjian Wang, Minghui Yan, Chuanrun Yi and Ying Sha,Capturing Semantic and Syntactic Information for Link Prediction in Knowledge Graphs, The 18th International Semantic Web Conference ISWC 2019.(CCF B)

2.Minghui Yan*, Changjian Wang, ying sha*,Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering, 28th International Conference on Artificial Neural Networks, ICANN2019(CCF C).

3. chuanrun yi*, Dong Wang, chunyu he, ying sha*,Learning to Explain Chinese Slang Words, 28th International Conference on Artificial Neural Networks, ICANN2019. (CCF C).

4. Chengfang Ma, Ying Sha, Jianlong Tan, et al. Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics. International Computer Software and Applications Conference (COMPSAC), 2019.(CCF C)

5. Jianjun Wu, Ying Sha, Bo Jiang, and Jianlong Tan. DSINE: Deep Structural Influence Learning via Network Embedding. In AAAI-2019, poster. (CCF A)

6. Jianjun Wu, Ying Sha, Rui Li, Jianlong Tan and Bin Wang. Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks. In ICCS 2018

7. Jianjun Wu, Ying Sha, and Jianlong Tan. Structural Representations Learning of Social Influence in heterogeneous social networks. In ITQM 2018.

8. Jirong You, Ying Sha, Qi Liang and Bin Wang,Morph Resolution Based on Autoencoders Combined with Effective Context Information,International Conference on Computational Science (ICCS), 2018.

9.Jianjun Wu, Ying Sha, Rui Li, Qi Liang, Bo Jiang, Jianlong Tan and Bin Wang. Identification of Influential Users based on Topic-Behavior Influence Tree in Social Networks. In NLPCC 2017. ( Distinguished paper)(CCF C)

10. Ying Sha, Zhenhui shi, Rui li, Qi Liang, Bin Wang,  Resolving Entity Morphs based on Character-Word Embedding, International Conference on Computational Science (ICCS), 2017.

11. Ying Sha, Qi Liang, and Kaijian Zheng, Matching User Accounts across Social Networks based on Users Message, International Conference on Computational Science(ICCS) , 2016.

12. Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Lihong Wang. Domain Dictionary-based Topic Modeling for Social Text. In Web Information Systems Engineering(WISE) 2016. (CCF C)

13. Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Wei Liu, Hongyuan Ma, Lihong Wang. Retweeting Behavior Prediction Based on One-Class Collaborative Filtering in Social Networks. In SIGIR 2016 (CCF A)

14. Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang, Zhixin Kuang,Unifying User and Message Clustering Information for Retweeting Behavior Prediction,The 17th International Conference on Web-Age Information Management( WAIM), 2016.(CCF C)

15. Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang. Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction.  In CIKM 2015 (CCF B)

16. Bo Jiang, Ying Sha, Lihong Wang. A Multi-view Retweeting Behavior Prediction in Social Networks. In APWeb 2015. (CCF C)

17. Bo Jiang, Ying Sha, Lihong Wang. Predicting User Mention Behavior in Social Networks. In NLPCC 2015. (CCF C)

18. Bo Jiang and Ying Sha, Modeling Temporal Dynamics of User Interests in Online Social Networks. International Conference on Computational Science(ICCS), 2015.

19. Li Yang, Sha Ying, Shan Jixi, Jiang Bo, Wu Jianjun. Preventing the Diffusion of Negative Information Based on Local Influence Tree. The 29th ACM Symposium on Applied Computing, SAC2014.

20. Jiguang Liang, Xiaofei Zhou, Ying Sha, Ping Liu, Li Guo, Unsupervised Clustering Strategy Based on Label Propagation, IEEE International Conference on Data Mining (ICDM), 2013. (CCF B)

21. Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Finding High Influence Vertices based on Candidate Set, The International Conference on Parallel and Distributed Computing, Applications and Technologies(PDCAT),2013.

22. Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Jianjun Wu, Finding High-Influence Leader based on Local Metrics, The 13th IEEE International Conference on Computer and Information Technology (CIT), 2013.

23. Yang Li, Ying Sha, Jixi Shan, Kai Xu, The research of weighted community partition based on simhash, First International Conference on Information Technology and quantitative management (ITQM), 2013.

24. Jixi Shan, Ying Sha, Yang Li, Kai Xu, Li Guo, Distributed OSN Crawl System Based on Ajax Simulation. First International Conference on information Technology and Quantitative Management (ITQM), 2013.

25. Yang Li,Xiaoyan Wang,Ying Sha,Jianlong Tan,Research of Security Relationship Based on Social Networks, International Standard Conference on  Trustworthy Computing and Services (ISCTCS) 2012.

26. Kun Wang, Ying Sha, JianLong Tan,  Yang Li ,Finding delta-closure Property of BitTorrent System and Applications Based on This Property,  International Standard Conference on  Trustworthy Computing and Services (ISCTCS), 2012.

27. Xiaoyan Wang, Kai Xu, Kun Wang, Ying Sha, Research of New Words Identification in Social  Network for Monitoring Public Opinion, International Standard Conference on  Trustworthy Computing and Services (ISCTCS), 2012.

28. Ying Sha, Zhibin Zhang, Jianlong Tan, the Influence of Active Measurement on Unstructured Peer-to-Peer Network, International Conference on Communications, Circuits and Systems (ICCCAS),2010

29. Ying Sha, Zhibin Zhang, Jianlong Tan, Measuring the Influence of Active Measurement on Unstructured Peer-to-Peer Network, P2PNVE2009, the 15th International Conference on Parallel and Distributed Systems (ICPADS), 2009. (CCF C)

30. Ying SHA,Jianlong TAN, An Efficient Algorithm to Compute Max/Min Values in Sliding Window for Data Streams. 2nd International Conference on Software and Data Technologies. (ICSOFT2007)

31. Ying Sha, AVS-REL---A New Right Expression Language, First International Conference on Digital Rights Management: Technology, Issues, Challenges and Systems. (DRMTICS2005).Lecture Notes in Computer Science, 2006. Volume 3919/2006, 90-101 (3)

中文论文:

1. 刘程、沙灜、姜波、郭莉,新浪微博隐式组织发现,中文信息学报,2017年第31卷第2期。

2. 沙灜、梁棋、王斌,中文变体词的识别与规范化综述[j].信息安全学报,2016,1(3)

3.李阳,王晓岩,王昆,沙瀛.基于社交网络的安全关系研究[J].计算机研究与发展 . 2012 (S2)

4. 王昆、沙灜、谭建龙,基于Cookie劫持的Deep-Web用户数据安全性分析,计算机研究与发展,49:17-22,2012。

(3).授权专利

1. 一种同时支持分布式加密文件下载和使用的系统,CN200610112548.0;

2. 一种实现数字内容使用权利的安全保护系统,CN200610112550.8;

3. 计算滑动窗口下数据流最大值和最小值的方法和系统,CN200610075648.0;

4. 一种能够抵御垃圾邮件的分布式邮件系统,CN200610171517.2;

5. 一种XXX方法和系统, ZL 201318001411.9;

6. 一种XXX方法和系统,ZL 201418005082.X;

7. 一种微信数据获取方法和系统,ZL 201510363826.9;

8. 基于浏览器测试组件的QQ群数据获取方法与系统, ZL 201510363954.3;

9. 面向特定主题的隐蔽社区核心交接圈检测发现方法和系统, ZL 201510160958.1。

10. 一种XXX方法和系统,ZL 201418005083.4。

(4).获奖

1. 2017年保密科学技术奖二等奖。

(5). 译著

1.《Python机器学习-预测分析核心算法》,人民邮电出版社,2017-01-01,译者:沙灜、李鹏;

2.《深度学习实际指南-基于R语言》,人民邮电出版社,2018-06-01,译者:沙灜;

3.提升法-基础理论与算法,人民邮电出版社,2019.12,译者:沙灜。

备注

欢迎博士后、博士研究生、硕士研究生和本科生加入本课题组。有意者可与我邮件联系。

Baidu
sogou