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2025

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Computer Science

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41
Citations
6457
World Ranking
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  • 2025 - Research.com Rising Stars Award

Overview

Yanjie Fu is a researcher affiliated with Arizona State University in the United States. Their work predominantly falls under the broader field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Transportation, Information Systems, Signal Processing, and Computer Vision and Pattern Recognition.

The researcher has contributed extensively to various topics such as:

  • Human Mobility and Location-Based Analysis
  • Machine Learning and Data Classification
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Topic Modeling
  • Traffic Prediction and Management Techniques
  • Domain Adaptation and Few-Shot Learning

Yanjie Fu's publication record is significant, with a strong presence in well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Intelligent Systems and Technology
  • ACM Transactions on Knowledge Discovery from Data

Several notable papers authored or co-authored by Yanjie Fu are:

  • Coupled Layer-wise Graph Convolution for Transportation Demand Prediction, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning, 2022, Proceedings of the ACM Web Conference 2022
  • Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Automated Feature Selection: A Reinforcement Learning Perspective, 2021, IEEE Transactions on Knowledge and Data Engineering

Their frequent collaborators include:

  • Dongjie Wang
  • Kunpeng Liu
  • Pengyang Wang
  • Hui Xiong
  • Yuanchun Zhou

Best Publications

  • A Neural Influence Diffusion Model for Social Recommendation

    Le Wu;Peijie Sun;Yanjie Fu;Richang Hong

  • Learning geographical preferences for point-of-interest recommendation

    Bin Liu;Yanjie Fu;Zijun Yao;Hui Xiong

  • Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting

    Liangzhe Han;Bowen Du;Leilei Sun;Yanjie Fu

  • A General Geographical Probabilistic Factor Model for Point of Interest Recommendation

    Bin Liu;Hui Xiong;Spiros Papadimitriou;Yanjie Fu

  • Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.

    Junchen Ye;Leilei Sun;Bowen Du;Yanjie Fu

  • Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps

    Yanjie Fu;Hui Xiong;Xinjiang Lu;Jin Yang

  • Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning

    Unknown

  • Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network

    Junchen Ye;Leilei Sun;Bowen Du;Yanjie Fu

  • Station Site Optimization in Bike Sharing Systems

    Junming Liu;Qiao Li;Meng Qu;Weiwei Chen

  • Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

    Le Wu;Yonghui Yang;Kun Zhang;Richang Hong

  • SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.

    Le Wu;Peijie Sun;Richang Hong;Yanjie Fu

  • Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors

    Yanjie Fu;Yong Ge;Yu Zheng;Zijun Yao

  • Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering

    Yanjie Fu;Hui Xiong;Yong Ge;Zijun Yao

  • POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

    Zijun Yao;Yanjie Fu;Bin Liu;Yanchi Liu

  • Representing urban functions through zone embedding with human mobility patterns

    Zijun Yao;Yanjie Fu;Bin Liu;Wangsu Hu

  • Fake News Detection with Deep Diffusive Network Model.

    Jiawei Zhang;Limeng Cui;Yanjie Fu;Fisher B. Gouza

  • Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes

    Pengfei Wang;Yanjie Fu;Guannan Liu;Wenqing Hu

  • Intelligent bus routing with heterogeneous human mobility patterns

    Yanchi Liu;Chuanren Liu;Nicholas Jing Yuan;Lian Duan

  • Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation

    Peijie Sun;Le Wu;Kun Zhang;Yanjie Fu

  • A Hierarchical Attention Model for Social Contextual Image Recommendation

    Le Wu;Lei Chen;Richang Hong;Yanjie Fu

  • Joint Representation Learning for Multi-Modal Transportation Recommendation

    Hao Liu;Ting Li;Renjun Hu;Yanjie Fu

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Yong Ge
Yong Ge University of Arizona
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Richang Hong
Richang Hong Hefei University of Technology
Wei Fan
Wei Fan Tencent (China)
Yu Zheng
Yu Zheng Jingdong (China)
Enhong Chen
Enhong Chen University of Science and Technology of China
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
Dan Lin
Dan Lin University of Missouri
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology

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