勾智楠，男，1985年生，博士，硕士生导师，软件设计师，数据库系统工程师。近年来，主持、参与多项科研课题，发表SCI论文10余篇。

联系方式：gouzhinan@hueb.edu.cn，zhinan.gou@hotmail.com

主要研究方向：自然语言处理、对话系统、信息检索、情感分析等。

主要讲授课程：自然语言处理、C++程序设计、文本数据分析、面向对象程序设计等。

主要研究课题：

基于主题模型的个性化任务型对话关键技术研究。在研

基于主题模型的情感对话生成技术研究。结题

社会化标注系统的个性化搜索研究。结题

主要论文：

Zhinan Gou, Yan Li, Yuanzhen Liu, Kai Gao.Topic model for personalized end-to-end task-oriented dialogue. Expert Systems with Applications 212:118805 (2022).

Jingxian Li, Lixin Han, Xiaoshuang Li, Jun Zhu, Baohua Yuan,Zhinan Gou. An evaluation of deep neural network models for music classification using spectrograms. Multimedia Tools and Applications (2022).

Zhinan Gou, Yan Li: A Method of Query Expansion based on Topic Models and User Profile for Search in Folksonomy. Journal of Intelligent & Fuzzy Systems 41(1): 1701-1711 (2021).

Zhinan Gou, Yan Li, Zheng Huo: A Method for Constructing Supervised Time Topic Model Based on Variational Autoencoder. Scientific Programming 2021: 6623689:1- 6623689:11 (2021).

Jun Zhu, Lixin Han,Zhinan Gou, Xiaofeng Yuan: A robust personalized location recommendation based on ensemble learning. Expert Systems with Applications 167:114065 (2021).

Yuanzhen Liu, Lixin Han,Zhinan Gou, Yi Yang: Personalized Recommendation via Trust-Based Diffusion. IEEE Access 7: 94195-94204 (2019).

Zhinan Gou, Zheng Huo, Yuanzhen Liu, Yang Yi: A Method for Constructing Supervised Topic Model Based on Term Frequency-Inverse Topic Frequency. Symmetry 11(12):1486 (2019).

Yuanzhen Liu, Lixin Han, Yi Liang,Zhinan Gou, Yi Yang: Users’ Preference-degree Considered Diffusion for Recommendation on Bipartite Networks. Physica A: Statistical Mechanics and its Applications 527: 121323 (2019).

Baobin Duan, Lixin Han,Zhinan Gou, Yi Yang, Shuangshuang Chen: Clustering Mixed Data Based on Density Peaks and Stacked Denoising Autoencoders. Symmetry 11(2): 163 (2019).

Zhinan Gou, Lixin Han, Ling Sun, Jun Zhu, Hong Yan: Constructing Dynamic Topic Models Based on Variational Autoencoder and Factor Graph. IEEE Access 6: 53102-53111 (2018).

Yi Yang, Lixin Han,Zhinan Gou, Baobin Duan, Jun Zhu, Hong Yan: Tagrec-CMTF: Coupled Matrix and Tensor Factorization for Tag Recommendation. IEEE Access 6: 64142-64152 (2018).

Jun Zhu, Lixin Han,Zhinan Gou, Xiaofeng Yuan: A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems. Journal of the Association for Information Science and Technology. 69(9): 1109-1121 (2018).

Zhinan Gou, Lixin Han, Jun Zhu, Yi Yang, Baobin Duan: Personalized Search by a Multi-type and Multi-level User Profile in Folksonomy. Arabian Journal for Science and Engineering. 43: 7563-7572 (2018).

成悦,赵康,勾智楠,高凯.基于度量学习和层级推理网络的抽取式摘要方法[J].河北科技大学学报,2022, 43(06), 594-601.

刘昊鑫,董超,勾智楠,高凯.融合混合表征的小样本关系抽取方法[J/OL].计算机工程. https://doi.org/10.19678/j.issn.1000-3428.0065258, (2022).

李晓腾,张盼盼,勾智楠,高凯.基于多任务学习的多模态命名实体识别方法[J/OL].计算机工程. https://doi.org/10.19678/j.issn.1000-3428.006408, (2022).

李晓腾,勾智楠,高凯.联合实体边界检测的命名实体识别方法[J].河北科技大学学报,2023, 44(01), 22-28.

发明专利授权：

一种局部像素同质化的图像纹理特征提取方法(专利号: 201810392603.9,发明人:袁宝华、韩立新、勾智楠),授权公告日: 2022.4.1.

一种基于个性化模型的查询词扩展方法(专利号: ZL201811073589.2,发明人:勾智楠、韩立新、袁宝华、刘元珍、张青),授权公告日: 2020.7.24.

一种结合时序化动态建模和情感语义的个性化搜索方法(专利号: ZL201710261296.6,发明人:勾智楠、韩立新),授权公告日: 2020.6.23.

一种基于手机三轴加速度传感器的计步方法(专利号: ZL201710569013.4,发明人:彭琛、韩立新、勾智楠),授权公告日: 2020.6.16.

基于同义词和反义词的中文标签推荐修正方法(专利号: ZL201711055214.9,发明人:刘元珍、韩立新、杨忆、勾智楠),授权公告日: 2018.12.14.

融合多信息源耦合张量分解的标签推荐方法(专利号: ZL201711040886.2,发明人:杨忆、韩立新、刘元珍、勾智楠),授权公告日: 2018.7.27.