Kaiqun Fu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Event Detection

Top Venues

Publications

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Bingshu Shi, Meiling Liu, Jiyun Zhou, Kaiqun Fu
Sentiment Summarization Generation Based on Multi Instance Learning and Graph Convolution on Social Media. CSCWD (2024)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56 (5) (2024)
Yangxiao Bai, Kaiqun Fu
PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract). AAAI (2023)
Hoa Ta, Shi Wen Wong, Nathan McClanahan, Jung-Han Kimn, Kaiqun Fu
Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract). AAAI (2023)
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. CoRR (2023)
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. CoRR (2023)
Kaiqun Fu, Yangxiao Bai, Weiwei Zhang, Deepthi Kolady
LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics. CoRR (2023)
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. ASONAM (2023)
Deepthi Kolady, Amrit Dumre, Weiwei Zhang, Kaiqun Fu, Marcia O'Leary, Laura Rose
Social media use among American Indians in South Dakota: Preferences and perceptions. CoRR (2023)
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR (2023)
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. BigData (2023)
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. BigData (2023)
Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. 34 (8 Part A) (2022)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM (2022)
Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu
Granger Causal Inference for Interpretable Traffic Prediction. ITSC (2022)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI (2022)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI (2022)
Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI (2022)
Zibo Liu, Kaiqun Fu, Xiaotong Liu
Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting. ICANN (2) (2022)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR (2021)
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI (2021)
Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData (2021)
Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick, Yanlin Li
RISECURE: Metro Incidents And Threat Detection Using Social Media. ASONAM (2020)
Jason Wang, Kaiqun Fu, Chang-Tien Lu
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. IEEE BigData (2020)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR (2020)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI (2019)
Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Feature driven learning framework for cybersecurity event detection. ASONAM (2019)
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS (2019)
Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special 11 (2) (2019)
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR (2019)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR (2019)
Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS (2018)
Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
Multi-Task Learning for Transit Service Disruption Detection. ASONAM (2018)
Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu
SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing. CoRR (2017)
Kaiqun Fu, Weisheng Zhong, Chang-Tien Lu, Arnold P. Boedihardjo
Find the butterfly: a social media based arterial incidents detection and causality analysis system. SIGSPATIAL/GIS (2015)
Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, Jason Xianding Tao
Steds: Social Media Based Transportation Event Detection with Text Summarization. ITSC (2015)
Kaiqun Fu, Yen-Cheng Lu, Chang-Tien Lu
TREADS: a safe route recommender using social media mining and text summarization. SIGSPATIAL/GIS (2014)
Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang
A search and summary application for traffic events detection based on Twitter data. SIGSPATIAL/GIS (2014)