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岗位教授。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TKDE、AAAI、IJCAI、CIKM、WWW、ICDM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》、《人工智能及其应用》等，深受学生欢迎。荣获2019年中国科学院大学校级优秀课程奖《机器学习》，2019年中国科学院大学朱李月华优秀教师。
研究方向：
机器学习、自然语言处理
获奖及荣誉：
2021年度中国科学院大学网络安全学院优秀授课岗位教师奖。
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。
代表性论文：
[1] (AAAI 2022, CCF A) Changjian Wang, Xiaofei Zhou*, Shirui Pan, Ying Sha. Exploring Relational Semantics for Inductive Knowledge Graph Completion. The Thirty-Sixth AAAI Conference on Artificial Intelligence.
[2] (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.
[3] (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.
[4] (ACM MM 2021, CCF-A) Zeliang Song, Xiaofei Zhou*, Linhua Dong, Jianlong Tan, Li Guo. Direction Relation Transformer for Image Captioning. 29th ACM International Conference on Multimedia.
[5] (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.
[6] (ICDM 2021, CCF-B) Renqi Jia, Xiaofei Zhou*, Shirui Pan, Linhua Dong. Hypergraph Convolutional Network for Group Recommendation .
[7] (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.
[8] (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.
[9] (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.
[10] (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.
[11] (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.
[12] (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.
[13] (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.
[14] (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.
[15] (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.
[16] (WWW 2015,CCF A) Jiguang Liang, Xiaofei Zhou, Li Guo, Shuo Bai. Feature Selection for Sentiment Classification Using Matrix Factorization. WWW2015 short paper.
[17] (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.
[18] (INFOCOM 2015, CCF A) Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai. Optimization-based Model for Determining Words' Sentiment Orientations. INFOCOM2015 Poster.
[19] (INFOCOM 2015, CCF A) Jiguang Liang, Xiaofei Zhou, Ping Liu, Li Guo. Latent Sentiment Representation for Sentiment Feature Selection. INFOCOM2015 Poster.
[20] (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.
[21] (SCI) Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi. Kernel Subclass Convex Hull Sample Selection Method for SVM on Face Recognition. Neurocomputing 73 (2010).
[22] (ICDM 2009, CCF B) Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi. A New Kernel-based Classification Algorithm, ICDM 2009.
承担项目情况：
2022.1-2025.12 国家自然基金面上，时间知识图谱补全技术研究，负责人
2017.9-2021.9 国家重研子课题，关系图谱演化研究, 负责人
2013.1-2015.12 国家自然基金青年，面向文本信息安全的类别语义分类方法研究，负责人
2013.-2014.4 中科院信工所创新课题, 面向文本内容安全的语义特征分类技术研究, 负责人
2013.1-2015.12 中国科学院战略先导专项：社会态势感知与处理, 参与
2009.7-2010.7 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，负责人
