Yanfang Ye
Orcid: 0000-0002-6038-2173Affiliations:
- University of Notre Dame, IN, USA
- West Virginia University, Morgantown, WV, USA
- Case Western Reserve University, Cleveland, OH, USA (former)
- Xiamen University, Department of Computer Science, China (former)
According to our database1,
Yanfang Ye
authored at least 153 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on case.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2024
ACM Trans. Knowl. Discov. Data, February, 2024
Inf. Manag., 2024
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
CoRR, 2024
CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications.
CoRR, 2024
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph.
CoRR, 2024
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations.
CoRR, 2024
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation.
CoRR, 2024
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 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
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data, April, 2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Knowl. Data Eng., 2023
Decis. Support Syst., 2023
An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox.
CoRR, 2023
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations.
Proceedings of the International Conference on Machine Learning, 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the Advances in Information Retrieval, 2023
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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
2022
ACM Trans. Knowl. Discov. Data, 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.
CoRR, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Netw. Sci. Eng., 2021
IEEE Trans. Knowl. Data Eng., 2021
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion.
ACM Trans. Intell. Syst. Technol., 2021
Proc. VLDB Endow., 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
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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 ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting.
IEEE Trans. Knowl. Data Eng., 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
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization.
IEEE Trans. Computational Imaging, 2020
Knowl. Inf. Syst., 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 KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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
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
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
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 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
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
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
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
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Knowl. Inf. Syst., 2018
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge.
CoRR, 2018
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection.
CoRR, 2018
J. Biomed. Semant., 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
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
Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 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
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
Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences.
IEEE Trans. Neural Networks Learn. Syst., 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 International Conference on Data Mining Workshops, 2017
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense.
Proceedings of the European Intelligence and Security Informatics Conference, 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
Proceedings of the AI 2017: Advances in Artificial Intelligence, 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
Knowl. Based Syst., 2016
Expert Syst. Appl., 2016
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 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
ACM Trans. Intell. Syst. Technol., 2015
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2010
CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection.
IEEE Trans. Syst. Man Cybern. Part C, 2010
Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list.
J. Intell. Inf. Syst., 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging.
J. Comput. Virol., 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
2008
J. Comput. Virol., 2008
Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008
2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007