教师详细介绍


周帆 副教授
学位：博士
任职：
研究方向：机器学习、人工智能、移动互联网、社会网络、推荐系统等。
联系方式：fan.zhou[ AT ]uestc.edu.cn


个人简介
2016年8月至今：副教授，电子科技大学；
2013年4月至2016年8月：讲师，电子科技大学；
2008年9月至2011年12月：联合培养博士，电子科技大学/美国西北大学；
2003年9月至2006年7月：硕士，电子科技大学；
1999年9月至2003年 6月：本科，四川大学。



科研情况
主要研究方向为时空数据分析，交通系统、推荐系统、社交网络分析等。发表CCF A 类会议/期刊论文20篇，SCI论文20余篇。


项目：
1. 图学习中的可解释性研究，国家自然科学基金。
2. 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.
3. 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。
4. 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。
5. 图像增强下的ACL三维重建研究, 国家自然科学基金。
6. 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。
7. 基于GMPLS网络的路径保护方法研究, 国家自然科学基金。




Selected Publications (*Corresponding author):




2021:

Catch Me If You Can: A Participant-Level Rumor Detection Framework via Fine-grained User Representation Learning
Xueqin Chen, Fan Zhou*,Fengli Zhang, Marcello Bonsangue.
Information Processing & Management (IPM).
Self-Supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification
Fan Zhou,Yurou Dai, Qiang Gao, Pengyu Wang, Ting Zhong.
Knowledge-Based Systems.
Variational Autoencoder with Copula for Collaborative Filtering
Ting Zhong, Guanyu Wang, Fan Zhou*, etc.
DLP-KDD.
Social-Trust-Aware Variational Recommendation
Joojo Walker, Fengli Zhang, Fan Zhou*, etc.
International Journal of Intelligent Systems (IJIS).
Contrastive Trajectory Learning for Tour Recommendation
Fan Zhou, Pengyu Wang, Xovee Xu, Wenxing Tai, Goce Trajcevski.
ACM Transactions on Intelligent Systems and Technology (TIST).
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Fan Zhou, Liu Yu, Xovee Xu,Goce Trajcevski.
International Conference on Research and Development in Information Retrieval (SIGIR). (CCF A)
Rumor Detection on Social Media with Event Augmentations
Zhenyu He, Ce Li,Fan Zhou*, Yi Yang.
International Conference on Research and Development in Information Retrieval (SIGIR). (CCF A)
Adversarial Human Trajectory Learning for Trip Recommendation
Qiang Gao, Fan Zhou*, Kunpeng Zhang, Fengli Zhang, Goce Trajcevski.
IEEE Transactions on Neural Networks and Learning Systems(TNNLS).
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类期刊).

A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang.
ACM Computing Surveys (CSUR).
MataMove: On Improving Human Mobility Classification and Prediction via Meta-Learning ?
Fan Zhou, Xin Liu, Ting Zhong,Goce Trajcevski
IEEE Transactions on Cybernetics(TCYB).
Urban Flow Prediction with Spatial-Temporal Neural ODEs ?
Fan Zhou*, Liang Li, Kunpeng Zhang,Goce Trajcevski
Transportation Research Part C: Emerging Technologies(TRC).
MetaRisk: Semi-Supervised Few-Shot Operational Risk Classification in Banking Industry
Fan Zhou, Xiuxiu Qi, Chunjing Xiao, Jiahao Wang.
Information Science.
Learning Meta-Knowledge for Few-shot Image Emotion Recognition
Fan Zhou, Chengtai Cao, Ting Zhong, Ji Geng.
Expert Systems with Applications(ESWA).
Land Deformation Prediction via Slope-Aware Graph Neural Networks
Fan Zhou, Rongfan Li, Kunpeng Zhang, Goce Trajcevski.
AAAI Conference on Artificial Intelligence (CCF A类会议, 接收率21.0%)
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou, Chengtai Cao.
AAAI Conference on Artificial Intelligence(CCF A类会议, 接收率21.0%)
Forecasting Reservoir Inflow via Recurrent Neural ODEs
Fan Zhou, Liang Li.
AAAI Conference on Artificial Intelligence(CCF A类会议, 接收率21.0%)
Inferring High-Resolutional Urban Flow with Internet of Mobile Things
Fan Zhou, Xin Jing, Liang Li, Ting Zhong
International Conference on Acoustics, Speech and Signal Processing (ICASSP)(CCF B类会议)
Probabilistic Graph Neural Networks for Traffic Signal Control
Ting Zhong, Zheyang Xu, Fan Zhou*
International Conference on Acoustics, Speech and Signal Processing (ICASSP)(CCF B类会议)
Traffic Speed Forecasting via Spatio-Temporal Attentive Graph Isomorphism Network
Qing Yang, Ting Zhong, Fan Zhou*
International Conference on Acoustics, Speech and Signal Processing (ICASSP)(CCF B类会议)
Trajectory-User Linking via Graph Neural Networks
Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, Shengming Zhang.
ICC 2020.(CCF C类会议)


2020:

Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems
Fan Zhou, Qing Yang, Dajiang Chen, Ning Zhang.
IEEE Transactions on Industrial Informatics (TII).

Towards Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models
Fan Zhou*, Xin Liu, Kunpeng Zhang, Goce Trajcevski.
IEEE Transactions on Neural Networks and Learning Systems(TNNLS).
Forecasting the Evolution of Hydropower Generation
Fan Zhou*, Liang Li, etc
Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining(KDD). (CCF A类会议, 接收率16.0%)
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).

Enhancing Urban Flow Maps via Neural ODEs
Fan Zhou*, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang
Proceedings of the29th International Joint Conference on Artificial Intelligence (IJCAI). (CCF A类会议, 接收率12.6%)
Interpreting Twitter User Geolocation
Ting Zhong, Tianliang Wang, Fan Zhou*, Goce Trajcevski, Kunpeng Zhang andYi Yang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). (CCF A类会议, 接收率25.2%)

Interpretable Operational Risk Classification with Semi-supervised Variational Autoencoder
Fan Zhou, Shengming Zhang andYi Yang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL).(CCF A类会议, 接收率25.2%)

Fast Network Alignment via Graph Meta-Learning
Fan Zhou*,Chengtai Cao,Goce Trajcevski,Kunpeng Zhang,Ting Zhong andJi Geng.
INFOCOM 2020.(CCF A类会议, 接收率19.8%)

Variational Information Diffusion for Probabilistic Cascades Prediction
Fan Zhou,Xovee Xu,Kunpeng Zhang,Goce Trajcevski,and Ting Zhong
INFOCOM 2020.(CCF A类会议, 接收率19.8%)
Reinforced Spatio-Temporal Attentive Graph Neural Networks for Traffic Forecasting
Fan Zhou*,Qing Yang,Kunpeng Zhang,Goce Trajcevski, Ting Zhong, andAshfaq Khokhar.
IEEE Internet of Things Journal.
Recommendation via Collaborative Autogressive Flows
Fan Zhou*,Yuhua Mo,Goce Trajcevski,Kunpeng Zhang, Jin Wu, andTing Zhong.
Neural Networks.
Learning to Correlate Accounts across Online Social Networks: An Embedding-based Approach
Fan Zhou,Kunpeng Zhang, Shuying Xie andXucheng Luo.
INFORMS Journal on Computing.(UT Dallas 24，CCF B类期刊).
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.

Semi-supervised Trajectory Understanding with POI Attention for end-to-end Trip Recommendation
Fan Zhou*,Hantao Wu,Goce Trajcevski,Kunpeng Zhang, andAshfaq Khokhar
ACM Transactions onSpatial Algorithms and Systems.
Meta-Learned User Preference for Topic Participation Prediction
Fan Zhou, Xiuxiu Qi, etc.
Globecom 2020. (CCF C类会议)
Unsupervised User Identity Linkage via Graph Neural Networks
Fan Zhou, Zijing Wen, etc.
Globecom 2020.(CCF C类会议)
Continual Information Cascade Learning
Fan Zhou, Xin Jing, etc.
Globecom 2020.(CCF C类会议)
Adversity-based Social Circles Inference via Context-Aware Mobility
Qiang Gao, Fan Zhou*, etc.
Globecom 2020.(CCF C类会议)
2019:
DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation
Qiang Gao, Goce Trajcevski,Fan Zhou*,Kunpeng Zhang, Ting Zhong and Fengli Zhang.
ACM Special Interest Group on Spatial Information (SIGSPATIAL). (GIS 顶会)
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou*,Chengtai Cao,Kunpeng Zhang, Goce Trajcevski,Ting Zhong andJi Geng.
The Conference on Information and Knowledge Management (CIKM). (CCF B类会议, 接收率21.3%)
Improving Human Mobility Identification with Trajectory Augmentation
Fan Zhou*,Ruiyang Yin,Goce Trajcevski,Kunpeng Zhang, Jin Wu andAshfaqKhokhar.
Geoinformatica.
Disentangled Network Alignment with Matching Explainability
Fan Zhou*,Zijing Wen,Goce Trajcevski,Kunpeng Zhang, Ting Zhong and Fang Liu.
International Conference on Computer Communications (INFOCOM). (CCF 类会议, 接收率19.7%)
Information Cascades Modeling via Deep Multi-Task Learning
Xueqin Chen,Kunpeng Zhang,Fan Zhou*,Goce Trajcevski,Ting Zhong and Fengli Zhang.
International Conference on Research and Development in Information Retrieval (SIGIR). (CCF 类会议, 接收率24.4%)
Information Diffusion Prediction via Recurrent Cascades Convolution
Xueqin Chen,Fan Zhou*,Kunpeng Zhang,Goce Trajcevski,Ting Zhong and Fengli Zhang.
International Conference on Data Engineering (ICDE). (CCF A类会议, 接收率24.4%)
Context-aware Variational Trajectory Encoding and Human Mobility Inference
Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong andKunpeng Zhang.
The Web Conference (WWW). (CCF A类会议, 接收率19.9%)
Adversarial Point-of-Interest Recommendation
Fan Zhou, Ruiyang Yin,Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Jin Wu.
The Web Conference(WWW). (CCF A类会议, 接收率19.9%)
Variational Session-based Recommendation Using Normalizing Flows
Fan Zhou, Zijing Wen,Kunpeng Zhang, Goce Trajcevski and Ting Zhong.
The Web Conference(WWW). (CCF A类会议, 接收率19.9%)
Predicting Human Mobility via Variational Attention
Qiang Gao,Fan Zhou*, Goce Trajcevski,Kunpeng Zhang, Ting Zhong and Fengli Zhang.
The Web Conference(WWW). (CCF A类会议, 接收率19.9%)

2018:
Trajectory-User Linking via Variational AutoEncoder
Fan Zhou*, Qiang Gao, Goce Trajcevski,Kunpeng Zhang.
International Joint Conference on Artificial Intelligence (IJCAI). (CCF A类会议, 接收率20.5%)
DeepLink: A Deep Learning Approach for User Identity Linkage
Fan Zhou*, Lei Liu,Kunpeng Zhang, Goce Trajcevski, Wu Jin, Ting Zhong.
International Conference on Computer Communications (INFOCOM). (CCF A类会议, 接收率19.2%)
vec2Link: Unifying Heterogeneous Data for Social Link Prediction
Fan Zhou*, Bangying Wu, Yi Yang, Goce Trajcevski,Kunpeng Zhangand Ting Zhong.
The Conference on Information and Knowledge Management (CIKM). (CCF B类会议, 接收率23.4%)
Trajectory-based Social Circle Inference.
Qiang Gao, Goce Trajcevski,Fan Zhou*,Kunpeng Zhang, Ting Zhong and Fengli Zhang.
ACM Special Interest Group on Spatial Information (SIGSPATIAL). (GIS 顶会, 接收率20.0%)
2017:
Identifying Human Mobility via Trajectory Embeddings
Qiang Gao,Fan Zhou*,Kunpeng Zhang, Goce Trajcevskiand Fengli Zhang.
International Joint Conference on Artificial Intelligence (IJCAI). (CCF A类会议, 接收率25.9%)
Bypassing holes in sensor networks - Load-balance vs. latency
Fan Zhou*, Goce Trajcevski, Roberto Tamassia, Besim Avci, Ashfaq A Khokhar, Peter Scheuermann.
Ad Hoc Networks.
Efficient detection of motion-trend predicates in wireless sensor networks
Besim Avci, Goce Trajcevski, Roberto Tamassia, Peter Scheuermann, Fan Zhou.
Computer Networks.
轨迹大数据:数据处理关键技术研究综述
高强,张凤荔,王瑞锦,周帆.
软件学报.






教学情况



获奖情况