Kaiqun Fu

According to our database, Kaiqun Fu authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu

ACM Comput. Surv., May, 2024

2023

LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics.

Kaiqun Fu, Yangxiao Bai, Weiwei Zhang, Deepthi Kolady

CoRR, 2023

Social media use among American Indians in South Dakota: Preferences and perceptions.

Deepthi Kolady, Amrit Dumre, Weiwei Zhang, Kaiqun Fu, Marcia O'Leary, Laura Rose

CoRR, 2023

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks.

Yanshen Sun, Kaiqun Fu, Chang-Tien Lu

CoRR, 2023

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

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

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 International Conference on Advances in Social Networks Analysis and Mining, 2023

Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract).

Hoa Ta, Shi Wen Wong, Nathan McClanahan, Jung-Han Kimn, Kaiqun Fu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract).

Yangxiao Bai, Kaiqun Fu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.

Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu

J. King Saud Univ. Comput. Inf. Sci., 2022

Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation.

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Granger Causal Inference for Interpretable Traffic Prediction.

Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting.

Zibo Liu, Kaiqun Fu, Xiaotong Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Blocking Influence at Collective Level with Hard Constraints (Student Abstract).

Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract).

Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract).

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fine-Grained Balanced Cyberbullying Dataset.

Jason Wang, Kaiqun Fu, Chang-Tien Lu

Dataset, March, 2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu

CoRR, 2021

A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.

Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu

CoRR, 2020

SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection.

Jason Wang, Kaiqun Fu, Chang-Tien Lu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

RISECURE: Metro Incidents And Threat Detection Using Social Media.

Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick, Yanlin Li

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Batman or the joker?: the powerful urban computing and its ethics issues.

Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu

ACM SIGSPATIAL Special, 2019

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 Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Feature driven learning framework for cybersecurity event detection.

Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

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

Multi-Task Learning for Transit Service Disruption Detection.

Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing.

Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu

CoRR, 2017

2015

Steds: Social Media Based Transportation Event Detection with Text Summarization.

Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, Jason Xianding Tao

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Find the butterfly: a social media based arterial incidents detection and causality analysis system.

Kaiqun Fu, Weisheng Zhong, Chang-Tien Lu, Arnold P. Boedihardjo

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014

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

TREADS: a safe route recommender using social media mining and text summarization.

Kaiqun Fu, Yen-Cheng Lu, Chang-Tien Lu

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014