Kaiqun Fu

Spatial Data Mining

Spatial events detection, Event impact analysis, etc.

Urban Computing

Intelligent Transportation Systems, Urban safety perception, Social media analysis, etc.

Deep Learning

Graph convolution networks, Convolutional neural networks, Recurrent Neural Networks.

HastGCN: A Hierarchical Attention-based Spatiotemporal Graph Convolution Network for Traffic Incident Impact Forecasting

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

29th ACM International Conference On Information And Knowledge Management (2020) submitted

paper

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

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

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

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

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

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

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

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

arXiv preprint arXiv:1712.01469 (2017)

paper

Exploring Social Traffic Data for Evaluating Urban Arterial Congestion

Rakesh Nune, Weisheng Zhong, Kaiqun Fu, Jason X. Tao

Transportation Research Board 96th Annual MeetingTransportation Research Board (2017)

paper

Extracting Urban Street Features Using Street Level LiDAR Data for Connected Vehicle Applications

Kaiqun Fu, Rakesh Nune, Jason X. Tao

Transportation Research Board 96th Annual MeetingTransportation Research Board (2017)

paper slides

Social Media Data Analysis for Traffic Incident Detection and Management

Kaiqun Fu, Rakesh Nune, Jason X. Tao

Transportation Research Board 94th Annual MeetingTransportation Research Board (2015)

paper slides

Steds: Social Media based Transportation Event Detection with Text Summarization

Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, Jason X. Tao

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

paper slides

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)

paper

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)

paper

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)

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