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Results for: Kaiqun Fu

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Find the butterfly: a social media based arterial incidents detection and causality analysis system
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Steds: Social Media Based Transportation Event Detection with Text Summarization
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SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing
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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
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RISECURE: Metro Incidents And Threat Detection Using Social Media
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SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection
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Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
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Multi-Task Learning for Transit Service Disruption Detection
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StreetNet: preference learning with convolutional neural network on urban crime perception
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Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
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Feature driven learning framework for cybersecurity event detection
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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
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Batman or the joker?: the powerful urban computing and its ethics issues
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Augmentation of Chinese Character Representations with Compositional Graph Learning
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Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks
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Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation
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Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation
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Granger Causal Inference for Interpretable Traffic Prediction
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DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
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ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
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Blocking Influence at Collective Level with Hard Constraints
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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
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Congratulations to Sanghani Center Spring 2021 Graduates , article
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DAC Student Spotlight: Kaiqun Fu , article
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Kaiqun Fu , bio