导师代码： 12103
导师姓名： 周帆
性别： 男
特称：

职称： 副教授
学位： 工学博士学位
属性： 专职
电子邮件： fan.zhou@uestc.edu.cn

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学术经历： 2016年7月至今：副教授，电子科技大学；2013年4月至2015年7月：讲师，电子科技大学；2008年9月至2011年12月：联合培养博士研究生，美国西北大学；2003年9月至2006年7月：硕士研究生，电子科技大学；1999年9月至2003年6月：本科，四川大学。

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个人简介： 现为电子科技大学信息与软件工程学院副教授。发表SCI,EI检索论文50余篇，包括KDD, INFOCOM, ACL, ICDE, IJCAI, WWW, SIGIR 等CCF A类论文 16 篇；UT-Dallas 24 论文2篇；SCI一区论文4篇等。主持科研项目5项，主研科研项目多项，包括国家自然科学基金项目、四川省科技支撑计划项目等。主要研究方向为大数据后分析和数据挖掘，机器学习和深度学习等。

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科研项目： 1. 群智感知中基于社会属性的行为引导与激励研究, 国家自然科学基金.2. 面向可控云计算平台的虚拟桌面系统研发, 四川省科技支撑项目。3. 成都市政务大数据平台安全管理系统, 成都淞幸科技有限责任公司。4. 群智感知中基于社会属性的行为引导与激励机制研究, 中央高校基本科研业务费。5. 移动互联网中数据外包服务与隐私保护关键技术研究, 国家自然科学基金。6. 图像增强下的ACL三维重建研究, 国家自然科学基金。7. 无线Ad hoc网络拓扑攻击探测与定位研究, 国家自然科学基金。8. 基于GMPLS网络的路径保护方法研究, 国家自然科学基金。

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研究成果： Selected Publications (近三年):2020：Towards Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models Fan Zhou*, Xin Liu, Kunpeng Zhang, Goce TrajcevskiIEEE Transactions on Neural Networks and Learning Systems (TNNLS). (JCR 一区)Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation SystemsIEEE Transactions on Industrial Informatics (TII). (JCR 一区)Forecasting the Evolution of Hydropower Generation Fan Zhou*, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Jiahao Wang, Ting Zhong, Qiao LiuProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). (CCF A)Hybrid Graph Convolutional Networks with Multi-head Attention for Location Recommendation Ting Zhong, Shengming Zhang, Fan Zhou*, Kunpeng Zhang, Goce Trajcevski, Jin WuWorld Wide Web Journal (WWWJ). (CCF B)Enhancing Urban Flow Maps via Neural ODEs Fan Zhou*, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI). (CCF A)Interpreting Twitter User Geolocation Ting Zhong, Tianliang Wang, Fan Zhou*, Goce Trajcevski, Kunpeng Zhang and Yi Yang Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). (CCF A)Interpretable Operational Risk Classification with Semi-supervised Variational Autoencoder Fan Zhou*, Shengming Zhang and Yi Yang Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). (CCF A)Fast Network Alignment via Graph Meta-Learning Fan Zhou*, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Ji Geng. INFOCOM 2020. (CCF A)Variational Information Diffusion for Probabilistic Cascades Prediction Fan Zhou*, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong INFOCOM 2020. (CCF A)Reinforced Spatio-Temporal Attentive Graph Neural Networks for Traffic Forecasting Fan Zhou*, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ashfaq Khokhar.IEEE Internet of Things Journal. (JCR 一区)Recommendation via Collaborative Autogressive Flows Fan Zhou*, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, and Ting Zhong.Neural Networks. (JCR 一区)Unifying Online and Offline Preference for Social Link Prediction Fan Zhou*, Kunpeng Zhang, Bangying Wu, Yi Yang, and Harry Wang.INFORMS Journal on Computing. (UT-Dallas 24, CCF B).Session-based Recommendation via Flow-based Deep Generative Networks and Bayesian Inference. NeurocomputingTing Zhong, Zijing Wen, Fan Zhou*, Goce Trajcevski, and Kunpenng ZhangNeurocomputing. (JCR 二区)Semi-supervised Trajectory Understanding with POI Attention for end-to-end Trip Recommendation Fan Zhou*, Hantao Wu, Goce Trajcevski, Kunpeng Zhang, and Ashfaq KhokharACM Transactions on Spatial Algorithms and SystemsLearning to Correlate Accounts across Online Social Networks: An Embedding-based Approach. Fan Zhou, Kunpeng Zhang, Shuying Xie, and Xucheng Luo. INFORMS Journal on Computing. (UT-Dallas 24 CCF B 类)2019:Fan Zhou*, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fang Liu. Disentangled Network Alignment with Matching Explainability. INFOCOM 2019. (CCF A 类) Xueqin Chen, Fan Zhou*, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Fengli Zhang. Information Diffusion Prediction via Recurrent Cascades Convolution. ICDE 2019. (CCF A 类) Fan Zhou*, Xiaoli Yue, Goce Trajcevski, Ting Zhong and Kunpeng Zhang. Context-aware Variational Trajectory Encoding and Human Mobility Inference. WWW 2019. (CCF A 类) Qiang Gao, Fan Zhou*, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fengli Zhang. Predicting Human Mobility via Variational Attention. WWW 2019. (CCF A 类) Fan Zhou*, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Jin Wu. Adversarial Point-of-Interest Recommendation. WWW 2019. (CCF A 类) Fan Zhou*, Zijing Wen, Kunpeng Zhang, Goce Trajcevski and Ting Zhong. Variational Session-based Recommendation Using Normalizing Flows. WWW 2019. (CCF A 类)2018:Fan Zhou*, Qiang Gao, Goce Trajcevski, Kunpeng Zhang. Trajectory-User Linking via Variational AutoEncoder. IJCAI. (CCF A 类) Fan Zhou*, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Wu Jin, Ting Zhong. DeepLink: A Deep Learning Approach for User Identity Linkage. INFOCOM 2018. (CCF A 类) Fan Zhou*, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang and Ting Zhong. vec2Link: Unifying Heterogeneous Data for Social Link Prediction. CIKM 2018. (CCF B 类) Qiang Gao, Goce Trajcevski, Fan Zhou*, Kunpeng Zhang, Ting Zhong and Fengli Zhang. Trajectory-based Social Circle Inference. (GIS 顶会) 2017:Qiang Gao, Fan Zhou*, Kunpeng Zhang, Goce Trajcevski and Fengli Zhang. (2017). Identifying Human Mobility via Trajectory Embeddings. IJCAI. (CCF A 类) Zhou, F., Trajcevski, G., Tamassia, R., Avci, B., Khokhar, A. A., & Scheuermann, P. (2017). Bypassing holes in sensor networks - Load-balance vs. latency. Ad Hoc Networks, 61, 16–32. (CCF C 类，JCR 三区) Avci, B., Trajcevski, G., Tamassia, R., Scheuermann, P., & Zhou, F. (2017). Efficient detection of motion-trend predicates in wireless sensor networks. Computer Communications, 101, 26–43. (CCF C 类，JCR 三区) 高强, 张凤荔, 王瑞锦, 周帆 (2017). 轨迹大数据: 数据处理关键技术研究综述. Journal of Software, 1–34. (EI 检索)

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专业研究方向： 专业名称 研究方向 招生类别
083500软件工程 05云计算与大数据 硕士
083500软件工程 06智能计算 硕士
085400电子信息 16软件工程 硕士

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