周帆 副教授
  • 學位:博士
  • 任職:
  • 研究方向:機器學習、人工智能、移動互聯網、社會網絡、推薦系統等。
  • 聯系方式:fan.zhou@uestc.edu.cn
個人簡介

2016年8月至今:副教授,電子科技大學;

2013年4月至2016年8月:講師,電子科技大學;

2008年9月至2011年12月:聯合培養博士,電子科技大學/美國西北大學;

2003年9月至2006年7月:碩士,電子科技大學;

1999年9月至2003年 6月:本科,四川大學。

科研情況

主要研究方向為機器學習和深度學習,時空數據分析,社交網絡分析等。


項目:

1. 群智感知中基于社會屬性的行為引導與激勵研究, 國家自然科學基金. 

2. 面向可控云計算平臺的虛擬桌面系統研發, 四川省科技支撐項目。 

3. 成都市政務大數據平臺安全管理系統, 成都淞幸科技有限責任公司。 

4. 群智感知中基于社會屬性的行為引導與激勵機制研究, 中央高校基本科研業務費。 

5. 移動互聯網中數據外包服務與隱私保護關鍵技術研究, 國家自然科學基金。 

6. 圖像增強下的ACL三維重建研究, 國家自然科學基金。 

7. 無線Ad hoc網絡拓撲攻擊探測與定位研究, 國家自然科學基金。 

8. 基于GMPLS網絡的路徑保護方法研究, 國家自然科學基金。



Selected Publications (*Corresponding author):


Preprint:


  • A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances 
    Fan Zhou*, Xovee Xu, Goce Trajcevski, Kunpeng Zhang. https://arxiv.org/abs/2005.11041

  • Continual Graph Learning 
    Fan Zhou*, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Genghttps://arxiv.org/abs/2003.09908

  • A Heterogeneous Dynamic Graph Neural Networks Approach to Quantify Scientific Impact
    Fan Zhou*, Xovee Xu, Ce Li, Ting Zhong, Kunpeng Zhang, Goce Trajcevskihttps://arxiv.org/abs/2003.12042



2020:

  • Forecasting the Evolution of Hydropower Generation 
    Fan Zhou*, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Jiahao Wang, Ting Zhong, Qiao Liu
    Proceedings 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 Wu
    World 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 一區)

  • Recommendation via Collaborative Autogressive Flows 
    Fan Zhou*Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, and Ting Zhong.
    Neural Networks. (JCR 一區)

  • Unifying Online and Offline Preference for Social Link Prediction 
    Fan Zhou*Kunpeng Zhang, Bangying Wu, Yi Yangand Harry Wang.
    INFORMS Journal on Computing. (UT-Dallas 24).

  • Session-based Recommendation via Flow-based Deep Generative Networks and Bayesian Inference. Neurocomputing
    Ting Zhong, Zijing Wen, Fan Zhou*, Goce Trajcevski, and Kunpenng Zhang
    Neurocomputing. (JCR 二區)

    • Semi-supervised Trajectory Understanding with POI Attention for end-to-end Trip Recommendation 
      Fan Zhou*Hantao Wu, Goce Trajcevski, Kunpeng Zhang, and Ashfaq Khokhar
      ACM Transactions on Spatial Algorithms and Systems

    • Adversarially Mobility Learning for Human Trajectory Classification 
      Qiang Gao, Fengli Zhang, Fuming Yao, Lin Mei, and Fan Zhou*.
      IEEE ACCESS. (二區).


    2019:

    • Qiang Gao, Goce Trajcevski, Fan Zhou*Kunpeng Zhang, Ting Zhong and Fengli Zhang. DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. SIGSPATIAL 2019

    • Fan Zhou*, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski,  Ting Zhong and Ji Geng. Meta-GNN: On Few-shot Node Classification in Graph Meta-learning CIKM 2019. (CCF B)

    • Fan Zhou*, Ruiyang Yin, Goce Trajcevski, Kunpeng Zhang, Jin Wu and Ashfaq Khokhar. Improving Human Mobility Identification with Trajectory AugmentationGeoinformatica. 2019. (CCF B)

    • Fan Zhou*, Kunpeng Zhang, Shuying Xie and Xucheng Luo. Learning to Correlate Accounts across Online Social Networks: An Embedding-based ApproachIINFORMS Journal of Computing. 2019. (UT-Dallas 24)

    • Xueqin Chen, Kunpeng Zhang, Fan Zhou*, Goce Trajcevski, Ting Zhong and Fengli Zhang. Information Cascades Modeling via Deep Multi-Task Learning. SIGIR 2019.  (CCF A 

    • Ting Zhong, Fang Liu, Fan Zhou*, Goce Trajcevski and Kunpeng Zhang. Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. IEEE ACCESS 2019.  (JCR 二區

    • Fan Zhou*, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fang Liu. Disentangled Network Alignment with Matching ExplainabilityINFOCOM 2019. (CCF A 

    • Xueqin Chen, Fan Zhou*, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Fengli Zhang. Information Diffusion Prediction via Recurrent Cascades Convolution. ICDE 2019.  (CCF A 

    • Fan Zhou*, Xiaoli Yue, Goce Trajcevski, Ting Zhong and Kunpeng Zhang. Context-aware Variational Trajectory Encoding and Human Mobility InferenceWWW 2019. (CCF A )

    • Qiang Gao, Fan Zhou*, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fengli Zhang. Predicting Human Mobility via Variational AttentionWWW 2019.  (CCF A )

    • Fan Zhou*, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Jin Wu. Adversarial Point-of-Interest RecommendationWWW 2019.  (CCF A 

    • Fan Zhou*, Zijing Wen, Kunpeng Zhang, Goce Trajcevski and Ting Zhong. Variational Session-based Recommendation Using Normalizing FlowsWWW 2019.  (CCF A 

    • Fan Zhou*, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Jin Wu. Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference. IEEE ACCESS. (JCR二區)


     

    2018:

    ·       Fan Zhou*, Qiang Gao, Goce Trajcevski, Kunpeng Zhang. Trajectory-User Linking via Variational AutoEncoderIJCAI. 2018 (CCF A 類) 

    ·       Fan Zhou*, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Wu Jin, Ting Zhong. DeepLink: A Deep Learning Approach for User Identity LinkageINFOCOM 2018. (CCF A 類) 

    ·       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 類) 

    ·       Qiang Gao, Goce Trajcevski, Fan Zhou*Kunpeng Zhang, Ting Zhong and Fengli Zhang. Trajectory-based Social Circle Inference. (GIS 頂會) 

     

    2017:

    ·      Qiang Gao, Fan Zhou*, Kunpeng Zhang, Goce Trajcevski and Fengli Zhang. (2017). Identifying Human Mobility via Trajectory EmbeddingsIJCAI(CCF A 類) 

    ·      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. (JCR 三區) 

    ·      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. (JCR 三區

    ·      高強, 張鳳荔, 王瑞錦, 周帆 (2017). 軌跡大數據: 數據處理關鍵技術研究綜述. Journal of Software, 1–34. (EI 檢索)

     

    Before 2016:

    ·      Xucheng, Luo, Fan Zhou, Efficient Multi-Account Detection on UGC Sites, IEEE Symposium on Computers and Communications, 2016. (EI 檢索, CCF C 類).

    ·      Mengjuan Liu, Wei Wang, Fan Zhou, Hao Xue, Zhiguang Qin, Xucheng Luo: ActiveRec: A Novel Context-Sensitive Ranking Method for Active Movie Recommendation. CBD 2016: 92-97 (EI 檢索)

    ·      Fan Zhou, Goce Trajcevski, Oliviu Ghica, Roberto Tamassia, Peter Scheuermann, Ashfaq Khokhar: Deflection Aware Tracking Principals Selection in Active Wireless Sensor Networks. IEEE Transactions on Vehicular Technology , 2012, vol. 61, Issue 7. (SCI 檢索, JCR二區) 

    ·      周帆,江維,李樹全,張玉宏,曾雪,吳躍. 無線傳感器網絡下基于粒子濾波的移動物體定位和追蹤算法. 軟件學報. 2013, 24(6): 1295-1309. (EI 檢索) 

    ·      Chunjing Xiao, Yue Wu, Fan Zhou: Predicting Audience Gender in Online Content-Sharing Social Networks, Journal of the American Society for Information Science and Technology (JASIST), 2013, 64(6): 1284-1297. (SCI 檢索) 

    ·      Fan Zhou, Goce Trajcevski, Besim Avci, Peter Scheuermann: Sensor Synchronization for Energy Efficient Multiple Object Tracking. The 9th IEEE International Conference on Networking, Sensing and Control (ICNSC), 2012: 139-144. (EI 檢索) 

    ·      Fan Zhou, Goce Trajcevski, Besim Avci: Tracking Coverage throughout Epochs with Bounded Uncertainty. The 11th IEEE International Symposium on Network Computing and Applications (NCA), Cambridge, MA, 2011: 67-74. (EI 檢索) 

    ·      Goce Trajcevski, Besim Avci, Fan Zhou, Peter Scheuermann: Motion Trends Detection in Wireless Sensor Networks. IEEE 13th International Conference on Mobile Data Management(MDM). 2012, Bengaluru, India. (EI 檢索) 

    ·      Oliviu Ghica, Goce Trajcevski, Fan Zhou, Roberto Tamassia, Peter Scheuermann: Selecting tracking principals with epoch awareness.?Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), San Jose, California, 2010: 222-231. (EI 檢索) 

    ·      Goce Trajcevski, Fan Zhou, Roberto Tamassia, Besim Avci, Peter Scheuermann, Ashfaq Khokhar: Bypassing Holes in Sensor Networks: Load-Balance vs. Latency. IEEE Global Communications Conference. (GLOBECOM) 2011: 1-5. (EI 檢索). 


    教學情況

    獲獎情況

    利来娱乐w66.com电子游戏平台 - 利来老牌体育