Kaiqun Fu

43 papers A* 7A 1B 9C 1Journal 15Unranked 10
YearRankTypeTitle / 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
requirements.txt
← Index requirements.txt plaintext 
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ppdeep==20200505
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signify==0.7.1
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xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

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