TREADS: a safe route recommender using social media mining and text summarization. - Kaiqun Fu; Yen-Cheng Lu; Chang-Tien Lu (SIGSPATIAL/GIS, 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 (SIGSPATIAL/GIS, 2014)

Find the butterfly: a social media based arterial incidents detection and causality analysis system. - Kaiqun Fu; Weisheng Zhong; Chang-Tien Lu; Arnold P. Boedihardjo (SIGSPATIAL/GIS, 2015)

Steds: Social Media Based Transportation Event Detection with Text Summarization. - Kaiqun Fu; Chang-Tien Lu; Rakesh Nune; Jason Xianding Tao (ITSC, 2015)

SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing. - Weisheng Zhong; Fanglan Chen; Kaiqun Fu; Chang-Tien Lu (CoRR, 2017)

Multi-Task Learning for Transit Service Disruption Detection. - Taoran Ji; Kaiqun Fu; Nathan Self; Chang-Tien Lu; Naren Ramakrishnan (ASONAM, 2018)

StreetNet: preference learning with convolutional neural network on urban crime perception. - Kaiqun Fu; Zhiqian Chen; Chang-Tien Lu (SIGSPATIAL/GIS, 2018)

Feature driven learning framework for cybersecurity event detection. - Taoran Ji; Xuchao Zhang; Nathan Self; Kaiqun Fu; Chang-Tien Lu; Naren Ramakrishnan (ASONAM, 2019)

TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. - Kaiqun Fu; Taoran Ji; Liang Zhao 002; Chang-Tien Lu (SIGSPATIAL/GIS, 2019)

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. - Taoran Ji; Zhiqian Chen; Nathan Self; Kaiqun Fu; Chang-Tien Lu; Naren Ramakrishnan (IJCAI, 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)

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 (ASONAM, 2020)

SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. - Jason Wang; Kaiqun Fu; Chang-Tien Lu (IEEE BigData, 2020)

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu (CoRR, 2020)

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. - Taoran Ji; Nathan Self; Kaiqun Fu; Zhiqian Chen; Naren Ramakrishnan; Chang-Tien Lu (AAAI, 2021)

A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. - Kaiqun Fu; Taoran Ji; Nathan Self; Zhiqian Chen; Chang-Tien Lu (IEEE BigData, 2021)

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu C. Aggarwal; Chang-Tien Lu (CoRR, 2021)

Fine-Grained Balanced Cyberbullying Dataset. - Jason Wang; Kaiqun Fu; Chang-Tien Lu (IEEE DataPort, 2021)

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). - Guangyu Meng; Qisheng Jiang 001; Kaiqun Fu; Beiyu Lin; Chang-Tien Lu; Zhiqian Chen (AAAI, 2022)

Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). - Jason Wang; Kaiqun Fu; Zhiqian Chen; Chang-Tien Lu (AAAI, 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 (AAAI, 2022)

Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting. - Zibo Liu; Kaiqun Fu; Xiaotong Liu (ICANN (2), 2022)

Granger Causal Inference for Interpretable Traffic Prediction. - Lei Zhang 158; Kaiqun Fu; Taoran Ji; Chang-Tien Lu (ITSC, 2022)

Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. - Guangyu Meng; Qisheng Jiang 001; Kaiqun Fu; Beiyu Lin; Chang-Tien Lu; Zhqian Chen (SDM, 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)

PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract). - Yangxiao Bai; Kaiqun Fu (AAAI, 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 (AAAI, 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 (ASONAM, 2023)

RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. - Yanshen Sun; Kaiqun Fu; Chang-Tien Lu (IEEE Big Data, 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 (IEEE Big Data, 2023)

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. - Yanshen Sun; Kaiqun Fu; Chang-Tien Lu (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)

LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics. - Kaiqun Fu; Yangxiao Bai; Weiwei Zhang; Deepthi Kolady (CoRR, 2023)

A Large Language Model-based Fake News Detection Framework with RAG Fact-Checking. - Yangxiao Bai; Kaiqun Fu (IEEE Big Data, 2024)

Sentiment Summarization Generation Based on Multi Instance Learning and Graph Convolution on Social Media. - Bingshu Shi; Meiling Liu; Jiyun Zhou; Kaiqun Fu (CSCWD, 2024)

SSIE-Diffusion: Personalized Generative Model for Subject-Specific Image Editing. - Lin Guo; Meiling Liu; Kaiqun Fu; Jiyun Zhou (IJCNN, 2024)

TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation. - Bobby Azad; Pourya Adibfar; Kaiqun Fu (CoRR, 2024)

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu Aggarwal 001; Chang-Tien Lu (ACM Comput. Surv., 2024)

Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. - Taoran Ji; Nathan Self; Kaiqun Fu; Zhiqian Chen; Naren Ramakrishnan; Chang-Tien Lu (ACM Trans. Knowl. Discov. Data, 2024)

Location Representation Learning for Urban Management with Heterogeneous Graph. - Xiaozhu Jin; Jason Tao; Kaiqun Fu (MDM, 2025)