Publications

2023

  1. Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
    Zhiqian Chen, Fanglan Chen, Lei Zhang, and 7 more authors
    ACM Comput. Surv., Dec 2023
  2. Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices
    Shengkun Wang, Yangxiao Bai, Taoran Ji, and 3 more authors
    In 2023 IEEE International Conference on Big Data (Big Data), Dec 2023
  3. LERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
    Shengkun Wang, Yangxiao Bai, Kaiqun Fu, and 3 more authors
    In Proceedings of The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Dec 2023

2022

  1. Granger Causal Inference for Interpretable Traffic Prediction
    Lei Zhang, Kaiqun Fu, Taoran Ji, and 1 more author
    In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Oct 2022
  2. Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
    Zonghan Zhang, Subhodip Biswas, Fanglan Chen, and 5 more authors
    Proceedings of the AAAI Conference on Artificial Intelligence, Jun 2022

2021

  1. A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting
    Kaiqun Fu, Taoran Ji, Nathan Self, and 2 more authors
    In 2021 IEEE International Conference on Big Data (Big Data), Dec 2021
  2. Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
    Taoran Ji, Nathan Self, Kaiqun Fu, and 3 more authors
    Proceedings of the AAAI Conference on Artificial Intelligence, May 2021

2020

  1. Bridging the gap between spatial and spectral domains: A survey on graph neural networks
    Zhiqian Chen, Fanglan Chen, Lei Zhang, and 7 more authors
    arXiv preprint arXiv:2002.11867, May 2020
  2. Collect Ethically: Reduce Bias in Twitter Datasets
    Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, and 1 more author
    In Information Management and Big Data, May 2020
  3. Feature Driven Learning Framework for Cybersecurity Event Detection
    Taoran Ji, Xuchao Zhang, Nathan Self, and 3 more authors
    In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, May 2020

2019

  1. TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
    Kaiqun Fu, Taoran Ji, Liang Zhao, and 1 more author
    In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, May 2019
  2. Batman or the Joker? The Powerful Urban Computing and Its Ethics Issues
    Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, and 1 more author
    SIGSPATIAL Special, Dec 2019
  3. Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
    Taoran Ji, Zhiqian Chen, Nathan Self, and 3 more authors
    In Proceedings of the 28th International Joint Conference on Artificial Intelligence, Dec 2019

2018

  1. Multi-Task Learning for Transit Service Disruption Detection
    Taoran Ji, Kaiqun Fu, Nathan Self, and 2 more authors
    In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Aug 2018

2017

  1. Crowdsourcing Cybersecurity: Cyber Attack Detection Using Social Media
    Rupinder Paul Khandpur, Taoran Ji, Steve Jan, and 3 more authors
    In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, Aug 2017
  2. Determining Relative Airport Threats from News and Social Media
    Rupinder P. Khandpur, Taoran Ji, Yue Ning, and 5 more authors
    In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Aug 2017

2015

  1. Personalization mechanism in an intelligent agent-based meta-search engine
    SCIENTIA SINICA Informationis, Aug 2015