个人简历

教育经历
2015.06 - 2016.8 美国伦斯勒理工学院(Rensselaer Polytechnic Institute,RPI) 访问学者
1998.09–2002.07 中国科学院计算技术研究所 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 华中农业大学信息学院 教授，博士生导师
2012.01– 2019.08 中国科学院信息工程研究所 副研究员,博士生导师
2002.08 - 2011.12 中国科学院计算技术研究所 助理研究员

研究领域

社会计算、自然语言处理

近期论文

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）