Yanfang Ye

According to our database1, Yanfang Ye authored at least 44 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

2018
DeepAM: a heterogeneous deep learning framework for intelligent malware detection.
Knowl. Inf. Syst., 2018

Adverse event detection by integrating twitter data and VAERS.
J. Biomedical Semantics, 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, 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 Netw. Learning 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 TIST, 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. Systems, Man, and Cybernetics, 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. Systems, Man, and Cybernetics, 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.
Journal in Computer Virology, 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.
Journal in Computer Virology, 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


  Loading...