教师简介

邢淑凝，女，山东青岛，1992年，讲师，山东师范大学，网络与网络资源管理，博士

联系方式

  sdnushuning@163.com

主讲课程

信息安全技术

研究方向

数据处理

主要教学与科研成果

1.Xing S, Liu F, Zhao X, et al.A Hierarchical Attention Model for Rating Prediction by Leveraging User and Product Reviews.Neurocomputing.2019（332）：417-427.

2.Xing S, Liu F, Zhao X, et al. Points-of-interest recommendation based on convolution matrix factorization[J]. Applied Intelligence, 2018(48)8: 2458–2469.

3.Xing S, Liu F, Zhao X, et al. Content-Aware Point-of-Interest Recommendation Based on Convolutional Neural Network[J].Applied Intelligence,2019（49）3:858-871.

4.Xing S, Liu F, Wang J, et al. Utility Pattern Mining Algorithm Based on Improved Utility Pattern Tree[C]// International Symposium on Computational Intelligence and Design. IEEE, 2016:258-261.

5.邢淑凝, 刘方爱, 赵晓晖. 基于聚类划分的高效用模式并行挖掘算法[J]. 计算机应用, 2016, 36(8):2202-2206.

6.Ding D, J Kyuho, Xing S, C Mauro, F Renato, Liu F. SEnD: a Social Network Friendship Enhanced Decentralized System to Circumvent Censorships. IEEE Transactions on Services Computing, 1939-1374, 2019.

7.ZHAO X, Liu F, Xing S, Wang Q, Identifying Influential Spreaders in Social Networks via Normalized Local Structure Attributes[J].IEEE ACCESS. 2018（6）：6095-6104.

8.Wang Q, Liu F, Xing S, et al. Research on CTR Prediction Based on Deep Learning[J].IEEE ACCESS.2018.

9.Wang Q, Liu F, Xing S, et al. A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism [J]. Computational and Mathematical Methods in Medicine. 2018.

10.国家自然科学基金：基于多源数据的学生需求发现及信息资源实时推荐机制研究，2018.01-2021.12，参与。

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