Kaiqun Fu - RankMe

43 papers A* 7A 1B 9C 1Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Location Representation Learning for Urban Management with Heterogeneous Graph. MDM XiaoZhu Jin, Jason Tao, Kaiqun Fu
2024	B	`conf`	A Large Language Model-based Fake News Detection Framework with RAG Fact-Checking. IEEE Big Data Yangxiao Bai, Kaiqun Fu
2024	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2024	J	`jnl`	Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2024	B	`conf`	SSIE-Diffusion: Personalized Generative Model for Subject-Specific Image Editing. IJCNN Lin Guo, Meiling Liu, Kaiqun Fu, Jiyun Zhou
2024	C	`conf`	Sentiment Summarization Generation Based on Multi Instance Learning and Graph Convolution on Social Media. CSCWD Bingshu Shi, Meiling Liu, Jiyun Zhou, Kaiqun Fu
2024	J	`jnl`	TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation. CoRR Bobby Azad, Pourya Adibfar, Kaiqun Fu
2023	B	`conf`	ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. ASONAM Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
2023	J	`jnl`	ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. CoRR Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
2023	J	`jnl`	DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
2023	A*	`conf`	Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract). AAAI Hoa Ta, Shi Wen Wong, Nathan McClanahan, Jung-Han Kimn, Kaiqun Fu
2023	J	`jnl`	LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics. CoRR Kaiqun Fu, Yangxiao Bai, Weiwei Zhang, Deepthi Kolady
2023	A*	`conf`	PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract). AAAI Yangxiao Bai, Kaiqun Fu
2023	B	`conf`	RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. IEEE Big Data Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
2023	J	`jnl`	Social media use among American Indians in South Dakota: Preferences and perceptions. CoRR Deepthi Kolady, Amrit Dumre, Weiwei Zhang, Kaiqun Fu, Marcia O'Leary, Laura Rose
2023	B	`conf`	Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. IEEE Big Data Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
2023	J	`jnl`	Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. CoRR Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
2022	A*	`conf`	Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
2022	A*	`conf`	Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
2022	J	`jnl`	Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu
2022	A*	`conf`	Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
2022	A	`conf`	Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen
2022	—	`conf`	Granger Causal Inference for Interpretable Traffic Prediction. ITSC Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu
2022	—	`conf`	Multi-view Cascading Spatial-Temporal Graph Neural Network for Traffic Flow Forecasting. ICANN (2) Zibo Liu, Kaiqun Fu, Xiaotong Liu
2021	—	`conf`	A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
2021	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021	A*	`conf`	Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2020	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
2020	B	`conf`	RISECURE: Metro Incidents And Threat Detection Using Social Media. ASONAM Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick, Yanlin Li
2020	—	`conf`	SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. IEEE BigData Jason Wang, Kaiqun Fu, Chang-Tien Lu
2019	J	`jnl`	Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
2019	B	`conf`	Feature driven learning framework for cybersecurity event detection. ASONAM Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	A*	`conf`	Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	J	`jnl`	Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2019	J	`jnl`	TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2018	B	`conf`	Multi-Task Learning for Transit Service Disruption Detection. ASONAM Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2018	—	`conf`	StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
2017	J	`jnl`	SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing. CoRR Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu
2015	—	`conf`	Find the butterfly: a social media based arterial incidents detection and causality analysis system. SIGSPATIAL/GIS Kaiqun Fu, Weisheng Zhong, Chang-Tien Lu, Arnold P. Boedihardjo
2015	—	`conf`	Steds: Social Media Based Transportation Event Detection with Text Summarization. ITSC Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, Jason Xianding Tao
2014	—	`conf`	A search and summary application for traffic events detection based on Twitter data. SIGSPATIAL/GIS Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang
2014	—	`conf`	TREADS: a safe route recommender using social media mining and text summarization. SIGSPATIAL/GIS Kaiqun Fu, Yen-Cheng Lu, Chang-Tien Lu