Yujie Fan
Orcid: 0000-0002-2635-9420
According to our database1,
Yujie Fan
authored at least 52 papers
between 2015 and 2024.
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Bibliography
2024
CoRR, 2024
2023
SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection.
Biomed. Signal Process. Control., September, 2023
Int. J. Reason. based Intell. Syst., 2023
Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
Proceedings of the IEEE International Conference on Big Data, 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Parametric Image Reconstruction for Edge Recovery From Synthetic Aperture Radar Echoes.
IEEE Trans. Geosci. Remote. Sens., 2021
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE J. Biomed. Health Informatics, 2020
α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19.
CoRR, 2020
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020
2019
Structured Compressive Sensing Based Block-Sparse Channel Estimation for MIMO-OFDM Systems.
Wirel. Pers. Commun., 2019
Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network.
Proceedings of the World Wide Web Conference, 2019
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
<i>αCyber</i>: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Expert Syst. Appl., 2016
2015
Proceedings of the Knowledge Science, Engineering and Management, 2015