Ying Sha-College of Informatics

Name

Ying Sha

Sex

Male

Title

Professor

Institute

College of Informatics, Huazhong Agricultural University

Address

1 Shizishan Jie, Hongshan Qu, Wuhan 430070, China

Email

shaying@mail.hzau.edu.cn

Fax

Research Interest

Social Computing; Natural Language Processing; Data mining; Machine Learning

Academic activities

Member of Social Media Processing(SMP), Chinese Information Processing Society of China; Member of China Computer Federation; Member of Agricultural Engineering Society of Hubei Province

Education and research experience

1991.09~1995.07: Communication Engineering, Dalian Maritime University, B.A.

1995.09~1998.07: Communication Engineering, Dalian Maritime University, M.S.

1998.09~2002.07: Computer Science, Institute of Computing Technology, Chinese Academy of Sciences(CAS),Ph.D.

2002.08~2011.12: Assistant Professor, Institute of Computing Technology, Chinese Academy of Sciences(CAS)

2012.01~2019.08: Associate Professor, , Institute of Information Engineering, Chinese Academy of Sciences(CAS)

2015.06~2016.08:Visiting Scholar, Rensselaer Polytechnic Institute(RPI), USA.

2019.08~present: Professor, College of Informatics, Huazhong Agricultural University

Grants (Government-funded)

1. Research on the influence of active measurement technology on unstructured peer-to-peer network and its calibration technology (Grant number: 61070184), National Natural Science Foundation of China, 2011-2013.

2. Social media key figures and communities discovery, analysis and application platform. National Science and technology supporting Project. (2012-2015)

3. Social network data collection and public opinion analysis, Research Project of National Security Bureau,2017.

4. Social media analysis, National information security plan,2017-2018.

5. Social media data collection and analysis, National information security plan,2014-2015.

6. Multi-channel data acquisition and analysis based on multiplexing platform, National information security plan,2013-2015.

7. Social media data collection and analysis, National 863 Project, 2013-2015.

8. Network data acquisition and analysis, Research Project of National Security Bureau,2012-2013.

9. Distributed secure communication technology, National information security plan,2007-2013.

10. Rights description language supporting flexible business model and its demonstration system

Representative publications（*for corresponding authors, # for first authors）

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. 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

8. 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)

9. 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.

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

11. 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)

12. 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)

13. 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)

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

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

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

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

18. 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）

19. 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.

20. 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）

21. 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)

22. 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)

Basic Information
Name	Ying Sha		Sex	Male	Title	Professor
Institute		College of Informatics, Huazhong Agricultural University
Address		1 Shizishan Jie, Hongshan Qu, Wuhan 430070, China
Email		shaying@mail.hzau.edu.cn
Fax
Research Interest
Social Computing; Natural Language Processing; Data mining; Machine Learning
Academic activities
Member of Social Media Processing(SMP), Chinese Information Processing Society of China; Member of China Computer Federation; Member of Agricultural Engineering Society of Hubei Province
Education and research experience
1991.09~1995.07: Communication Engineering, Dalian Maritime University, B.A. 1995.09~1998.07: Communication Engineering, Dalian Maritime University, M.S. 1998.09~2002.07: Computer Science, Institute of Computing Technology, Chinese Academy of Sciences(CAS),Ph.D. 2002.08~2011.12: Assistant Professor, Institute of Computing Technology, Chinese Academy of Sciences(CAS) 2012.01~2019.08: Associate Professor, , Institute of Information Engineering, Chinese Academy of Sciences(CAS) 2015.06~2016.08:Visiting Scholar, Rensselaer Polytechnic Institute(RPI), USA. 2019.08~present: Professor, College of Informatics, Huazhong Agricultural University
Grants (Government-funded)
1. Research on the influence of active measurement technology on unstructured peer-to-peer network and its calibration technology (Grant number: 61070184), National Natural Science Foundation of China, 2011-2013. 2. Social media key figures and communities discovery, analysis and application platform. National Science and technology supporting Project. (2012-2015) 3. Social network data collection and public opinion analysis, Research Project of National Security Bureau,2017. 4. Social media analysis, National information security plan,2017-2018. 5. Social media data collection and analysis, National information security plan,2014-2015. 6. Multi-channel data acquisition and analysis based on multiplexing platform, National information security plan,2013-2015. 7. Social media data collection and analysis, National 863 Project, 2013-2015. 8. Network data acquisition and analysis, Research Project of National Security Bureau,2012-2013. 9. Distributed secure communication technology, National information security plan,2007-2013. 10. Rights description language supporting flexible business model and its demonstration system
Representative publications（*for corresponding authors, # for first authors）
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. 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 8. 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) 9. 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. 10. Ying Sha, Qi Liang, and Kaijian Zheng, Matching User Accounts across Social Networks based on Users Message, International Conference on Computational Science(ICCS) , 2016. 11. 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) 12. 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) 13. 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) 14. 15. Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang. Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction. In CIKM 2015 （CCF B） 15. 16. Bo Jiang, Ying Sha, Lihong Wang. A Multi-view Retweeting Behavior Prediction in Social Networks. In APWeb 2015. （CCF C） 16. 17. Bo Jiang, Ying Sha, Lihong Wang. Predicting User Mention Behavior in Social Networks. In NLPCC 2015. （CCF C） 17. 18. Bo Jiang and Ying Sha, Modeling Temporal Dynamics of User Interests in Online Social Networks. International Conference on Computational Science(ICCS), 2015. 18. 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） 19. 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. 20. 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） 21. 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) 22. 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)