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副高人员

　　姓名：周晓飞

　　性别：女

　　职称：研究员

　　学位：博士

　　研究方向：机器学习、自然语言处理

　　联系电话：010-82546747

　　Email：zhouxiaofei@iie.ac.cn

个人简介：

周晓飞，女，博士，中国科学院信息工程研究所研究员、博士生导师，中国科学院大学网络空间安全学院副教授。主要从事机器学习、自然语言处理等领域的研究工作。近年研究领域包括：知识图谱表示与推理、文本情感分析、跨媒体的文本描述。曾先后主持和参加了多项国家自然基金、973、863等科研项目的研究工作。在国际刊物和顶级会议AAAI、IJCAI、CIKM、WWW、ICDM、InforCom等上发表学术论文50余篇。在中国科学院大学主讲智能信息处理领域课程，包括《机器学习》、《强化学习及其应用》、《神经网络与深度学习》、《强化学习导论》等，深受学生欢迎。

研究方向：

机器学习、自然语言处理

社会任职：

获奖及荣誉：

2019年中国科学院大学校级优秀课程奖《机器学习》。

2019年中国科学院“朱李月华优秀教师”奖。

2019年国科大网络空间安全学院优秀课程奖《机器学习》。

2019年度中科院信息工程研究所二室优秀员工。

2019年度中国科学院大学网络安全学院优秀授课岗位教师奖。

2018年度中国科学院大学网络安全学院优秀授课岗位教师奖。

2014年度中科院信息工程研究所二室团队建设奖。

2012年度中科院信息工程研究所优秀论文奖。

代表性论著:

[1] (TKDE 2021, CCF A) Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo. Knowledge Graph Embedding by Double Limit Scoring Loss, IEEE TKDE 2021, DOI: 10.1109/TKDE.2021.3060755.

[2] (AAAI 2021, CCF A) Zeliang Song, Xiaofei Zhou*, Zhendong Mao, Jianlong Tan. Image Captioning with Context-Aware Auxiliary Guidance, The Thirty-Fifth AAAI Conference on Artificial Intelligence.

[3] (ICME 2021, CCF B) Zeliang Song, Xiaofei Zhou*. Exploring Explicit and Implicit Visual Relationships For Image Captioning, IEEE International Conference on Multimedia and Expo 2021.

[4] (IJCNN 2021, CCF C) Renqi Jia, Xu Bai, Xiaofei Zhou, Shirui Pan. A Self-Supervised Learning Framework for Sequential Recommendation, International Joint Conference on Neural Networks 2021.

[5] (IJCAI 2020, CCF A) Yue Yuan, Xiaofei Zhou*, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo. A Relation-Specific Attention Network for Joint Entity and Relation Extraction. 29th International Joint Conference on Artificial Intelligence.

[6] (AAAI 2020, CCF A) Qiannan Zhu, Xiaofei Zhou*, Jian Wu, Jianlong Tan, Li Guo. A Knowledge-Aware Reasoning Network for Recommendation. 2020.02. The Thirty-Fourth AAAI Conference on Artificial Intelligence.

[7] (TKDE 2019, CCF A) Qiannan Zhu, Xiaofei Zhou*, Jianlong Tan, Li Guo. Knowledge Base Reasoning with Convolutional-based Recurrent Neural Networks, IEEE Trans. Knowl. Data Eng. (TKDE), 2019.11.1-14 doi: https://doi.org/10.1109/TKDE.2019.2951103.

[8] (IJCAI 2019, CCF A) Qiannan Zhu, Xiaofei Zhou*, Jian Wu, Jianlong Tan, Li Guo. Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. 28th International Joint Conference on Artificial Intelligence.

[9] (AAAI 2019, CCF A) Qiannan Zhu, Xiaofei Zhou*, Jian Wu, Jianlong Tan, Li Guo. DAN: Deep Attention Neural Network for News Recommendation. The Thirty-Third AAAI Conference on Artificial Intelligence.

[10] (CIKM 2017, CCF B) Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo. Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. The Conference on Information and Knowledge Management, pp.1009-1018.

[11] (SCI期刊, CCF C) Qiannan Zhu, Xiaofei Zhou*, Peng Zhang, Yong Shi. A Neural Translating General Hyperplane for Knowledge Graph Embedding. Journal of Computational Science. 30 (2019), pp.108-117.

[12] (ICCS 2018, IIE B) Qiannan Zhu, Xiaofei Zhou*, Jianlong Tan, Ping Liu, Li Guo. Qiannan Zhu, Learning Knowledge Graph Embeddings via Generalized Hyperplanes. International Conference on Computational Science, pp.624-238.

[13] (Best Paper Award) Qiannan Zhu, Xiaofei Zhou*, Yuwen Wu, Ping Liu, Li Guo. Multilingual Knowledge Graph Embeddings with Neural Networks. 6th International Conference on Data Science, ICDS 2019.

[14] (ICCS 2016, IIE B) Jiguang Liang, Kai Zhang, Xiaofei Zhou*, et al. Leveraging Latent Sentiment Constraint in Probabilistic Matrix Factorization for Cross-domain Sentiment Classification. 16th International Conference on Computational Science, ICCS 2016.Proceedings, Volume 80, 2016, Pages 366–375.

[15] (WWW 2015,CCF A) Jiguang Liang, Xiaofei Zhou, Li Guo, Shuo Bai. Feature Selection for Sentiment Classification Using Matrix Factorization. WWW2015 short paper.

[16] (CIKM 2014, CCF B) Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai. CONR: A Novel Method for Sentiment Word Identification. CIKM2014 short paper.

[17] (INFOCOM 2015, CCF A) Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai. Optimization-based Model for Determining Words' Sentiment Orientations. INFOCOM2015 Poster.

[18] (INFOCOM 2015, CCF A) Jiguang Liang, Xiaofei Zhou, Ping Liu, Li Guo. Latent Sentiment Representation for Sentiment Feature Selection. INFOCOM2015 Poster.

[19] (APWeb2015, CCF C) Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai. Sentiment Word Identification with Sentiment Contextual Factors. APWeb2015.

[20] Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai. Word Clustering Based on Un-LP Algorithm. Coling2014 Workshop.

[21] Jiguang Liang, Xiaofei Zhou, Ying Sha, Ping Liu, Li Guo, Shuo Bai. Unsupervised Clustering Strategy Based on Label Propagation. ICDM2013 Workshop.

[22] Jiguang Liang, Jianlong Tan, Xiaofei Zhou, Ping Liu, Li Guo, Shuo Bai. Dependency Expansion Model for Sentiment Lexicon Extraction. WI-IAT2013.

[23] Xiaofei Zhou, Li Guo, Tianyi Wang, Yue Hu. Text Feature Selection Based on Class Subspace. ICDM 2014 Workshop.

[24] Xiaofei Zhou, Li Guo, Ping Liu, Yanbing Liu. Latent Factor SVM for Text Categorization. ICDM 2014 Workshop.

[25] Xiaofei Zhou, Li Guo, Wenhan Jiang, Jianlong Tan. Theme Word Subspace Learning method for Text Categorization. ACM SIGKDD 2012 Workshop.

[26] Xiaofei Zhou, Wenhan Jiang, Jianlong Tan. Enhanced Sample Selection for SVM on Face Recognition. Apweb 2014.

[27] Xiaofei Zhou, Jiguang Liang, Yue Hu, Li Guo. Text Document Latent Subspace Clustering by PLSA Factors. WI-IAT2014.

[28] Xiaofei Zhou, Yue Hu, Li Guo. Text Categorization Based on Clustering Feature Selection. Procedia Computer Science Volume 31, 2014, Pages 398–405.

[29] (SCI) Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi. Credit Risk Evaluation with Kernel-based Affine Subspace Nearest Points Learning Method. Expert System with Application, 2011.38, p4272-4279.

[30] (SCI) Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi. Kernel Subclass Convex Hull Sample Selection Method for SVM on Face Recognition. Neurocomputing 73 (2010).

[31] (ICDM 2009, CCF B) Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi. A New Kernel-based Classification Algorithm, ICDM 2009.

[32] Xiaofei Zhou, Yong Shi. Subspace Distance-Based Sampling Method for SVM, ICDM 2010 workshop.

[33] Xiaofei Zhou, Yong Shi. Nearest Neighbor Convex Hull Classification Method for Face Recognition. ICCS 2009.

[34] Xiaofei Zhou, Wenhan Jiang, Yong Shi. Credit Evaluation with Nearest Subspace Method. ICCS 2010.

[35] Xiaofei Zhou, Wenhan Jiang, Yong Shi. Face Recognition Using Affine Subspace Nearest Points Approach. CJKPR 2009.

[36] Xiaofei Zhou, Yong Shi, et al. A New Classification for PCA-based Face Recognition. BIFE 2009.

[37] Xiaofei Zhou, Yong Shi. Affine Subspace Nearest Points Classification Algorithm for Wavelet Face Recognition. CSIE 2009.

承担科研项目情况:

1. 国家重点研发子课题项目：图谱推理技术研究

2. 国家自然基金青年基金面上项目：面向文本信息安全的类别语义分类模型研究

3. 中国科学院信息工程研究所创新课题：面向文本内容安全的语义特征分类技术研究

4. 中国科学院战略先导专项：社会态势感知与处理

5. 中国博士后基金：基于个人信用风险评估数据挖掘新方法研究