Publication

There is no rule on how to write. Sometimes it comes easily and perfectly: sometimes it’s like drilling rock and then blasting it out with charges. — Ernest Hemingway

Full List of Publications

Published Papers

• TKDD Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling
  Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
  ACM Transactions on Knowledge Discovery from Data (2024).
  Paper | Slides
• IEEE BigData RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction
  Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
  Proceedings of the IEEE International Conference on Big Data (2023).
  Paper | Slides
• IEEE BigData Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices
  Shengkun Wang, YangXiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
  Proceedings of the IEEE International Conference on Big Data (2023).
  Paper | Slides
• ASONAM ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
  Shengkun Wang, YangXiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
  Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2023).
  Paper | Slides
• NAPS ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
  Tara Aryal, Pooja Aslami, Niranjan Bhujel, Hossein Moradi Rekabdarkolaee, Kaiqun Fu, Timothy M Hansen
  2023 North American Power Symposium (NAPS) (2023).
  Paper | Slides
• AAAI Exploration on Physics-Informed Neural Networks on Partial Differential Equations
  Hoa Ta, ShiWen Wong, Nathan McClanahan, Jung-Han Kimn and Kaiqun Fu
  Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) (2023).
  Paper | Slides
• AAAI PanTop: Pandemic Topic Detection and Monitoring System
  Yangxiao Bai and Kaiqun Fu
  Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) (2023).
  Paper | Slides
• SDM Early Forecasting Of The Impact Of Traffic Accidents Using A Single Shot Observation
  Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu and Zhqian Chen
  Proceedings of the 2022 SIAM International Conference on Data Mining (SDM) (2022).
  Paper | Slides
• Journal Detecting Anomalous Traffic Behaviors With Seasonal Deep Kalman Filter Graph Convolutional Neural Networks
  Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen and Chang-Tien Lu
  Journal of King Saud University-Computer and Information Sciences (2022).
  Paper | Slides
• ICANN Multi-view Cascading Spatial-temporal Graph Neural Network For Traffic Flow Forecasting
  Zibo Liu, Kaiqun Fu and Xiaotong Liu
  International Conference on Artificial Neural Networks (2022).
  Paper | Slides
• Book Chapter Metro Transit Disruptions Detection Using Social Media Mining And Graph Convolution
  Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick and Yanlin Li
  International Conference on Artificial Neural Networks (2022).
  Paper | Slides
• ITSC Granger Causal Inference for Interpretable Traffic Prediction
  Lei Zhang, Kaiqun Fu, Taoran Ji and Chang-Tien Lu
  IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2022).
  Paper | Slides
• AAAI Blocking Influence at Collective Level with Hard Constraints
  Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan and Zhiqian Chen
  Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) (2022).
  Paper | Slides
• AAAI Augmentation of Chinese Character Representations with Compositional Graph Learning
  Jason Wang, Kaiqun Fu, Zhiqian Chen and Chang-Tien Lu
  Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) (2022).
  Paper | Slides
• AAAI Early Forecast of Traffic Accident Impact based on a Single-Snapshot Observation
  Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu and Zhqian Chen
  Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) (2022).
  Paper | Slides
• IEEE BigData HastGCN: A Hierarchical Attention-Based Spatiotemporal Graph Convolutional Network for Traffic Incident Impact Forecasting
  Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, and Chang-Tien Lu
  Proceedings of the IEEE International Conference on Big Data (2021).
  Paper | Slides
• AAAI Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
  Taoran Ji, Nathan Self, Kaiqun Fu, Zhqian Chen, Naren Ramakrishnan, and Chang-Tien Lu
  Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) (2021).
  Paper | Slides
• ASONAM RISECURE: Metro Security Incidents And Threat DetectionUsing Social Media
  Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, and Chang-Tien Lu
  Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM (2020).
  Paper | Slides
• IEEE BigData SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection
  Jason Wang, Kaiqun Fu, and Chang-Tien Lu
  Proceedings of the IEEE International Conference on Big Data (2020).
  Paper | Slides
• SIGSPATIAL TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
  Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
  Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (2019).
  Paper | Slides
• IJCAI Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
  Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
  Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI (2019).
  Paper | Slides
• ASONAM Feature driven learning framework for cybersecurity event detection
  Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
  Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM (2019).
  Paper | Slides
• SIGSPATIAL Special Batman or the joker? the powerful urban computing and its ethics issues
  Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
  SIGSPATIAL Special 11 (2), 16-25 (2019).
  Paper | Slides
• SIGSPATIAL StreetNet: Preference Learning with Convolutional Neural Network on Urban Crime Perception
  Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
  Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (2018).
  Paper | Slides
• ASONAM Multi-task Learning for Transit Service Disruption Detection
  Kaiqun Fu, Taoran Ji, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
  Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM (2018).
  Paper | Slides
• TRB Exploring Social Traffic Data for Evaluating Urban Arterial Congestion
  Rakesh Nune, Weisheng Zhong, Kaiqun Fu, and Jason X. Tao
  Transportation Research Board 96th Annual Meeting Transportation Research Board (2017).
  Paper | Slides
• TRB Extracting Urban Street Features Using Street Level LiDAR Data for Connected Vehicle Applications
  Kaiqun Fu, Rakesh Nune, and Jason X. Tao
  Transportation Research Board 96th Annual Meeting Transportation Research Board (2017).
  Paper | Slides
• TRB Social Media Data Analysis for Traffic Incident Detection and Management
  Kaiqun Fu, Rakesh Nune, and Jason X. Tao
  Transportation Research Board 94th Annual Meeting Transportation Research Board (2015).
  Paper | Slides
• ITSC Steds: Social Media based Transportation Event Detection with Text Summarization
  Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, and Jason X. Tao
  Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC (2015).
  Paper | Slides
• SIGSPATIAL Find the Butterfly: A Social Media based Arterial Incidents Detection and Causality Analysis System
  Kaiqun Fu, Weisheng Zhong, Chang-Tien Lu, and Arnold P. Boedihardjo
  Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (2015).
  Paper | Slides
• SIGSPATIAL Treads: A Safe Route Recommender using Social Media Mining and Text Summarization
  Kaiqun Fu, Yen-Cheng Lu, and Chang-Tien Lu
  Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (2014).
  Paper | Slides
• SIGSPATIAL A Search and Summary Application for Traffic Events Detection based on Twitter Data
  Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang
  Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (2014).
  Paper | Slides