Yanfang Ye

Orcid: 0000-0002-6038-2173

Affiliations:
  • 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 134 papers between 2007 and 2024.

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Bibliography

2024
Graph Mining for Cybersecurity: A Survey.
ACM Trans. Knowl. Discov. Data, February, 2024

Graph Inference Acceleration by Learning MLPs on Graphs without Supervision.
CoRR, 2024

Tackling Negative Transfer on Graphs.
CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024

2023
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data, April, 2023

Heterogeneous Information Network Embedding With Adversarial Disentangler.
IEEE Trans. Knowl. Data Eng., 2023

Fine-grained classification of drug trafficking based on Instagram hashtags.
Decis. Support Syst., 2023

Arms Race in Adversarial Malware Detection: A Survey.
ACM Comput. Surv., 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

Fair Graph Representation Learning via Diverse Mixture-of-Experts.
Proceedings of the ACM Web Conference 2023, 2023

Self-Supervised Graph Structure Refinement for Graph Neural Networks.
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

Hypergraph Contrastive Learning for Drug Trafficking Community Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

Leveraging Comment Retrieval for Code Summarization.
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
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data, 2022

Hyperbolic Graph Attention Network.
IEEE Trans. Big Data, 2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.
CoRR, 2022

Contrastive Graph Few-Shot Learning.
CoRR, 2022

Adversarial Cross-View Disentangled Graph Contrastive Learning.
CoRR, 2022

Few-Shot Learning on Graphs: A Survey.
CoRR, 2022

Black-box Node Injection Attack for Graph Neural Networks.
CoRR, 2022

Back-Propagating System Dependency Impact for Attack Investigation.
Proceedings of the 31st USENIX Security Symposium, 2022

Heterogeneous Temporal Graph Neural Network.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Multi-objective Deep Data Generation with Correlated Property Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.
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

Summarizing Source Code from Structure and Context.
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

Few-Shot Learning on Graphs.
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

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.
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

Adaptive Kernel Graph Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Disentangled Spatiotemporal Graph Generative Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware.
IEEE Trans. Netw. Sci. Eng., 2021

Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph.
IEEE Trans. Knowl. Data Eng., 2021

Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion.
ACM Trans. Intell. Syst. Technol., 2021

Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism.
Proc. VLDB Endow., 2021

Heterogeneous Temporal Graph Neural Network.
CoRR, 2021

Gophormer: Ego-Graph Transformer for Node Classification.
CoRR, 2021

CoTexT: Multi-task Learning with Code-Text Transformer.
CoRR, 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

Multi-view Self-supervised Heterogeneous Graph Embedding.
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

Graph Representation Learning: Foundations, Methods, Applications and Systems.
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

WebEvo: taming web application evolution via detecting semantic structure changes.
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

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.
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

Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation.
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

Survival neural networks for time-to-event prediction in longitudinal study.
Knowl. Inf. Syst., 2020

SoK: Arms Race in Adversarial Malware Detection.
CoRR, 2020

Enhancing Deep Neural Networks Against Adversarial Malware Examples.
CoRR, 2020

α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19.
CoRR, 2020

Multi-modal Network Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Interpretable Deep Graph Generation with Node-edge Co-disentanglement.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Network Schema Preserving Heterogeneous Information Network Embedding.
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

Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub.
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

Heterogeneous Graph Attention 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

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Author Set Identification via Quasi-Clique Discovery.
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

Temporal Network Embedding with Micro- and Macro-dynamics.
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
DeepAM: a heterogeneous deep learning framework for intelligent malware detection.
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

Adverse event detection by integrating twitter data and VAERS.
J. Biomed. Semant., 2018

Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Make Evasion Harder: An Intelligent Android Malware Detection System.
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

A Survey on Malware Detection Using Data Mining Techniques.
ACM Comput. Surv., 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

Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT.
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

SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Deep Neural Networks for Automatic Android Malware Detection.
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

An Adversarial Machine Learning Model Against Android Malware Evasion Attacks.
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
Kernel-based linear classification on categorical data.
Soft Comput., 2016

FindMal: A file-to-file social network based malware detection framework.
Knowl. Based Syst., 2016

Malicious sequential pattern mining for automatic malware detection.
Expert Syst. Appl., 2016

Automatic Detection of Helmet Uses for Construction Safety.
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
Soter: Smart Bracelets for Children's Safety.
ACM Trans. Intell. Syst. Technol., 2015

Analyzing File-to-File Relation Network in Malware Detection.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Cluster-oriented ensemble classifiers for intelligent malware detection.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Intelligent malware detection based on file relation graphs.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

2012
Ensemble Clustering for Internet Security Applications.
IEEE Trans. Syst. Man Cybern. Part C, 2012

2011
Combining file content and file relations for cloud based malware detection.
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

Automatic malware categorization using cluster ensemble.
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

Intelligent file scoring system for malware detection from the gray list.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
An intelligent PE-malware detection system based on association mining.
J. Comput. Virol., 2008

A New Centroid-Based Classifier for Text Categorization.
Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2007
IMDS: intelligent malware detection system.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007


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