Shifu Hou
According to our database1,
Shifu Hou
authored at least 34 papers
between 2015 and 2024.
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Bibliography
2024
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph.
CoRR, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
2023
Proceedings of the Advances in Information Retrieval, 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
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
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
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
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
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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
<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
iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Knowl. Inf. Syst., 2018
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection.
CoRR, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 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
DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network.
Proceedings of the 34th Annual Computer Security Applications Conference, 2018
2017
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection.
Proceedings of the Web and Big Data, 2017
Proceedings of the Web and Big Data, 2017
SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks.
Proceedings of the 33rd Annual Computer Security Applications Conference, 2017
2016
Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016
DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks.
Proceedings of the Web-Age Information Management, 2016
2015
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015