名:何赛克


        称:副研究员


    联系电话:010- 82544537


    电子邮件:saike.he@ia.ac.cn


    联系地址:北京市海淀区中关村东路95号

    邮政编码:100190

何赛克





Books:
[1] Saike He, “Rumination on Natural Language Processing”, LAP Lambert Academic Publishing, 2010, ISBN 978-3-8433-8076-8.
Journal Papers:
[1] Saike He, Xiaolong Zheng*, and Daniel Dajun Zeng, “Modeling Online Behaviors with Competitive Interactions”, Information & Management, 2018. (SCI, IF=3.890)
[2] Saike He, Xiaolong Zheng*, Daniel Dajun Zeng, Chuan Luo, and Zhu Zhang, “Exploring Entrainment Patterns of Human Emotion in Social Media”, PLoS ONE, 2016, 11(3): e0150630. doi:10.1371/journal.pone.0150630. (SCI, IF =3.234, Top 15%).
[3] Saike He, Xiaolong Zheng*, and Daniel Dajun Zeng, “A Model-Free Scheme for Meme Ranking in Social Media”, Decision Support Systems, 2016, 81: 1-11, (SCI, IF = 3.222, Top 10%).
[4] Saike He*, Xiaojie Wang, Yuan Dong, Taozheng Zhang, and Xue Bai, “Apply Normalized Accessor Variety in Chinese Word Segmentation”, Journal of Chinese Information Processing, Jan. 2010, Vol.24, No.01, (SCI, IF = 1.063).
Conference Papers:
[1] Saike He*, Xiaolong Zheng, Jiaojiao Wang, Zhijun Chang, Yin Luo, and Daniel Zeng, "Meme Extraction and Tracing in Crisis Events", IEEE Intelligence and Security Informatics 2016 Conference (ISI 2016), Tucson, Arizona USA, 2016, pp. 61–66. (Best Paper Runner-Up Award)
[2] Wingyan Chung*, Saike He, and Daniel Zeng, “eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak”, the 2015 International Conference on Information Systems (ICIS 2015), Texas, USA, 2015.
[3] Changliang Li*, Bo Xu, Gaowei Wu, Saike He, Guanhua Tian, and Yijun Zhou, “Parallel Recursive Deep Model for Sentiment Analysis”, in the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), Ho Chi Minh, Vietnam, 2015.
[4] Saike He*, Xiaolong Zheng, Xiuguo Bao, Hongyuan Ma, Daniel Zeng, Bo Xu, Changliang Li, and Hongwei Hao, “Characterizing Emotion Entrainment in Social Media”, in The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, Beijing, China, 2014.
[5] Saike He*, Xiaolong Zheng, Daniel Zeng, Kainan Cui, Zhu Zhang, and Chuan Luo, “Identifying peer influence in online social networks using transfer entropy”, Pacific Asia Workshop on Intelligence and Security Informatics, (PAISI’13, in conjunction IJCAI’13). Beijing. China: IJCAI.

[1] 发明专利: “基于社会媒体的多层级情感分析方法”,受理号:201810331227.2
[2] 发明专利: “基于海量新闻数据的快速热点检测方法及系统”,受理号:201810044908.2
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