Kaiqun Fu
Orcid: 0000-0003-4307-9938
According to our database1,
Kaiqun Fu
authored at least 38 papers
between 2014 and 2024.
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, July, 2024
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv., May, 2024
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation.
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Sentiment Summarization Generation Based on Multi Instance Learning and Graph Convolution on Social Media.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics.
CoRR, 2023
Social media use among American Indians in South Dakota: Preferences and perceptions.
CoRR, 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks.
CoRR, 2023
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices.
Proceedings of the IEEE International Conference on Big Data, 2023
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction.
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).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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.
J. King Saud Univ. Comput. Inf. Sci., 2022
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract).
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).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR, 2021
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.
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.
CoRR, 2020
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
2019
ACM SIGSPATIAL Special, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
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.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
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.
CoRR, 2017
2015
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.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
2014
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014