* indicates that the author is my student; indicates the corresponding author.

Book Chapters

  • Yanfang Ye. "Intelligent Malware Detection by Applying Data Mining Techniques", In T. Li eds., Data Mining Where Theory Meets Practice, Xiament University Press, 2013, ISBN 978-7-5615-4294-1.


Journal Publications

  • Liang Zhao, Feng Chen, Yanfang Ye. "Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.

  • Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang. "Adverse Event Detection by Integrating Twitter Data and VAERS", Journal of Biomedical Semantics, 9(19), 2018.

  • Yanfang Ye, Tao Li, Donald Adjeroh, S. Sitharama Iyengar. "A Survey on Malware Detection Using Data Mining Techniques", ACM Computing Surveys (ACM CSUR), Vol. 50, Issue 3, Article No. 41, 2017.

  • Yanfang Ye (), Lingwei Chen*, Shifu Hou*, William Hardy*, Xin Li. "DeepAM: A Heterogeneous Deep Learning Framework for Intelligent Malware Detection", Knowledge and Information Systems (KAIS), Vol. PP (52): 1~21, 2017.

  • Gongde Guo, Lifei Chen, Yanfang Ye, Qingshan Jiang. "Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences", IEEE Transactions on Neural Networks and Learning Systems, Vol. PP (99): 1-13, 2016.

  • Ming Ni, Tao Li, Qianmu Li, Hong Zhang, Yanfang Ye, Qingshan Jiang. "FindMal: A File-to-file Social Network Based Malware Detection Framework", Knowledge-Based Systems, 112: 142-151, 2016.

  • Yujie Fan*, Yanfang Ye, Lifei Chen. "Malicious Sequential Pattern Mining for Automatic Malware Detection", Expert Systems with Applications, Vol. 52, pp. 16~25, 2016.

  • Madhuri Siddula*, Fei Dai, Yanfang Ye, Jianping Fan. "Classifying Construction Site Photos for Roof Detection: A Machine-Learning Method towards Automated Measurement of Safety Performance on Roof Sites", Construction Innovation, 16(3), pp. 368~389, 2016.

  • Yanfang Ye (), Tao Li, Haiyin Shen. "Soter: Smart Bracelets for Children's Safety", ACM Transactions on Intelligent Systems and Technology , Vol.6, No. 4, Article 46, 2015.

  • Lifei Chen, Yanfang Ye, Gongde Guo, Jianping Zhu. "Kernel-based linear classification on categorical data", Soft Computing, pp. 1~13, 2015.

  • Weiwei Zhuang, Yanfang Ye, Yong Chen, Tao Li. "Ensemble Clustering for Internet Security Applications", IEEE Transactions on Systems, Man and Cybernetics-Part C: Applications and Reviews, Vol 42, pp. 1784~1796, 2012.

  • Weiwei Zhuang, Yanfang Ye, Tao Li, Qingshan Jiang. "Intelligent phishing website detection using classification ensemble", Systems Engineering - Theory & Practice, Vol. 31, issue (10): 2008-2020, 2011.

  • Yanfang Ye, Tao Li, Qingshan Jiang, Youyu Wang. "CIMDS: Adapting post-processing techniques of associative classification for malware detection system", IEEE Transactions on Systems, Man and Cybernetics-Part C: Applications and Reviews, Vol 40, pp. 298~307, 2010.

  • Yanfang Ye, Lifei Chen, Dingding Wang, Tao Li, Qingshan Jiang, Min Zhao. "SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging", Journal in Computer Virology, Vol 5, pp. 283~293, 2009.

  • Yanfang Ye, Tao Li, Kai Huang, Qingshan Jiang, Yong Chen. "Hierarchical Associative Classifier (HAC) for Malware Detection from the Large and Imbalanced Gray List", Journal of Intelligent Information Systems, Vol 35, pp. 1~20, 2009.

  • Weiwei Zhuang, Yanfang Ye, Qingshan Jiang, Zhixue Han. "Application of Incremental Associative Classification Method in Malware Detection", Computer Engineering, 35 (4): 159-161, 2009.

  • Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye, Qingshan Jiang. "An Intelligent PE-Malware Detection System Based on Association Mining", Journal in Computer Virology, Vol 4, pp. 323~334, 2008.


Conference Publications

  • Yanfang Ye (), Shifu Hou*, Lingwei Chen*, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao. "Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection", 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. (17.9% acceptance rate)

  • Yujie Fan*, Yiming Zhang*, Shifu Hou*, Lingwei Chen*, Yanfang Ye (), Chuan Shi, Liang Zhao, Shouhuai Xu. "iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow", 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. (17.9% acceptance rate)

  • Yiming Zhang*, Yujie Fan*, Wei Song, Shifu Hou*, Yanfang Ye (), Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong. "Your Style Your Identity: LeveragingWriting and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network", The Web Conference (WWW), 2019. (20% acceptance rate for short paper)

  • Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Yanfang Ye. "Heterogeneous Graph Attention Network", The Web Conference (WWW), 2019. (18% acceptance rate for regular paper)

  • Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. "Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting", P33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (16.7% acceptance rate)

  • Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu. "Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and Application to AICS'2019 Challenge", AAAI Workshop on Artificial Intelligence for Cyber Security (AICS), 2019. AICS 2019 Challenge Problem Winner.

  • Yujie Fan*, Shifu Hou*, Yiming Zhang*, Yanfang Ye (), Melih Abdulhayoglu. "Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System", Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD), 2018. (22.5% acceptance rate)

  • Yujie Fan*, Yiming Zhang*, Yanfang Ye (), Xin Li. "Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network", 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018. (20.5% acceptance rate)

  • Shifu Hou*, Yanfang Ye (), Yangqiu Song, Melih Abdulhayoglu. "Make Evasion Harder: An Intelligent Android Malware Detection System", 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018. (20.5% acceptance rate)

  • Junxiang Wang, Liang Zhao, Yanfang Ye. "Semi-supervised Multi-instance Learning for Flu Shot Adverse Event Detection", IEEE international conference on Big Data (BigData), 2018. (18.9% acceptance rate)

  • Yanfang Ye (), Shifu Hou*, Lingwei Chen*, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong. "ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network", Annual Computer Security Applications Conference (ACSAC), 2018. (20.1% acceptance rate)

  • Lingwei Chen*, Shifu Hou*, Yanfang Ye (), Shouhuai Xu. "DroidEye: Fortifying Security of Learning-based Classifier against Adversarial Android Malware Attacks", Proceedings of International conference on Advances in Social Network Analysis and Mining (ASONAM), 2018.

  • Yiming Zhang*, Yujie Fan*, Shifu Hou*, Jian Liu*, Yanfang Ye (), Thirimachos Bourlai. "iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network", Proceedings of International conference on Advances in Social Network Analysis and Mining (ASONAM), 2018.

  • Yiming Zhang*, Yujie Fan*, Yanfang Ye (), Xin Li, Erin L. Winstanley. "Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter", The Thirty-Second AAAI Conference on Artificial Intelligence Workshops (AAAI Workshop), 2018.

  • Shifu Hou*, Yanfang Ye (), Yangqiu Song, Melih Abdulhayoglu. "HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network", Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) , 2017. SIGKDD 2017 Best Paper Award and SIGKDD 2017 Best Student Paper Award (Applied Data Science Track). (9.2% acceptance rate for oral)

  • Lingwei Chen*, Yanfang Ye (), Thirimachos Bourlai. "Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense", IEEE European Intelligence and Security Informatics Conference (EISIC), 2017. IEEE EISIC 2017 Best Paper Award. (~25% acceptance rate)

  • Lingwei Chen*, Shifu Hou*, Yanfang Ye (). "SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks", Annual Computer Security Applications Conference (ACSAC), 2017. (19.7% acceptance rate)

  • Yujie Fan*, Yiming Zhang*, Yanfang Ye (), Xin Li, Wanhong Zheng. "Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies", ACM International Conference on Information and Knowledge Management (CIKM), 2017. (~20% acceptance rate)

  • Yiming Zhang*, Yujie Fan*, Yanfang Ye (), Xin Li, Wanhong Zheng. "Detecting Opioid Users from Twitter and Understanding their Perceptions toward MAT", IEEE International Conference on Data Mining Workshops (ICDMW), 2017.

  • Lingwei Chen*, Yanfang Ye (). "SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks", Australasian Joint Conference on Artificial Intelligence (AI) , 2017.

  • Shifu Hou*, Aaron Saas*, Lingwei Chen, Yanfang Ye (), Thirimachos Bourlai. "Deep Neural Networks for Automatic Android Malware Detection", International conference on Advances in Social Network Analysis and Mining (ASONAM) , 2017.

  • Shifu Hou*, Lingwei Chen*, Yanfang Ye (), Lifei Chen. "Deep Analysis and Utilization of Malware's Social Relation Network for its Detection", Proceedings of International Conference on Web-Age Information Management (WAIM) , 2017.

  • Lingwei Chen*, Shifu Hou*, Yanfang Ye (), Lifei Chen. "An Adversarial Machine Learning Model against Android Malware Evasion Attacks", Proceedings of International Conference on Web-Age Information Management (WAIM) , 2017.

  • Shifu Hou*, Aaron Saas*, Yanfang Ye (), Lifei Chen. "Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs", IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW), 2016.

  • Abu Hasnat Mohammad Rubaiyat, Tanjin Taher Toma, Masoumeh Kalantari-Khandani, Syed Ashiqur Rahman, Lingwei Chen*, Yanfang Ye (), Christopher S. Pan. "Automatic Detection of Helmet Uses for Construction Safety", IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW), 2016.

  • Shifu Hou*, Aaron Saas*, Yanfang Ye (), Lifei Chen. "DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks", Proceedings of International Conference on Web-Age Information Management(WAIM) , 2016.

  • William Hardy*, Lingwei Chen*, Shifu Hou*, Yanfang Ye (), Xin Li. "DL4MD: A Deep Learning Framework for Intelligent Malware Detection", International Conference on Data Mining (DMIN) , 2016.

  • Madhuri Siddula*, Fei Dai, Yanfang Ye, Jianping Fan. "Learning in Unordered and Static Daily Construction Site Photos for Roof Detection: A Step toward Automated Safety Performance Monitoring for Work on Rooftops", The 16th International Conference on Computing in Civil and Building Engineering (ICCCBE) , 2016.

  • Madhuri Siddula*, Fei Dai, Yanfang Ye, Jianping Fan. "Unsupervised Feature Learning for Objects of Interest Detection in Cluttered Construction Roof Site Images", International Conference on Sustainable Design, Engineering and Construction (ICSDEC) , 2016.

  • Lingwei Chen*, William Hardy*, Yanfang Ye (), Tao Li. "Analyzing File-to-File Relation Network in Malware Detection", Web Information System Engineering (WISE) , pp. 415~430, 2015.

  • Shifu Hou*, Lifei Chen, Egemen Tas, Igor Demihovskiy, Yanfang Ye (). "Cluster-Oriented Ensemble Classifiers for Malware Detection", IEEE International Conference on Sematic Computing (IEEE ICSC) , pp. 189~196, 2015.

  • Lingwei Chen*, Tao Li, Melih Abdulhayoglu, Yanfang Ye (). "Malware Detection Based on File Relation Graphs", IEEE International Conference on Sematic Computing (IEEE ICSC) , pp. 85~92, 2015 (Invited Paper).

  • Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu. "Combining File Content and File Relations for Cloud Based Malware Detection", Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) , pp. 222~230, 2011. (8% acceptance rate for oral)

  • Yanfang Ye, Tao Li, Yongchen, Qingshan Jiang. "Automatic Malware Categorization Using Cluster Ensemble", Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) , pp. 95~104, 2010. (10.9% acceptance rate for oral)

  • Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan. "Intelligent File Scoring System for Malware Detection from the Gray List", Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) , pp. 1385~1394, 2009. (9.8% acceptance rate for oral)

  • Yanfang Ye, Yinming Mei, Rencheng Peng. "MCNS: Intelligent Malware Categorizing and Naming System", The 12th Association of anti Virus Asia Researchers International Conference (AVAR) , pp. 15~25, 2009.

  • Kai Huang, Yanfang Ye, Qingshan Jiang. "ISMCS: An Intelligent Instruction Sequence based Malware Categorization System", International Conference on Anti-counterfeiting, Security, and Identification (ASID) , 2009.

  • Youyu Wang, Yanfang Ye, Haishan Chen, Qingshan Jiang. "An Improved Clustering Validity Index for Determining the Number of Malware Clusters", International Conference on Anti-counterfeiting, Security, and Identification (ASID) , 2009.

  • Zhixue Han, Yanfang Ye, Shaorong Feng, Qingshan Jiang. "A Parameter-Free Hybrid Clustering algorithm used for Malware Categorization", International Conference on Anti-counterfeiting, Security, and Identification (ASID) , 2009.

  • Lifei Chen, Yanfang Ye, Qingshan Jiang. "A New Centroid-Based Classifier for Text Categorization", Advanced Information Networking and Applications Workshops (AINAW) , pp. 1217~1222, 2008.

  • Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye. "IMDS: Intelligent Malware Detection System", Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) , pp. 1043~1047, 2007. (17.9% acceptance rate)


Patents

  • Yanfang Ye, Li Wan, Zhixue Han, Yong Chen. "An intelligent Instruction Frequency based Malware Categorization System and its Methods", Chinese Patent, Number 200910040996.8, Awarded 2012.

  • Yanfang Ye, Kai Huang, Fei Liang, Wenxiang Zhu. "An Intelligent Instruction Sequence based Malware Categorization System and its Methods", Chinese Patent, Number 200910040997.2, Awarded 2012.

  • Yanfang Ye, Yong Chen, Youyu Wang, Li Wan. "An Improved Clustering Validity Index for Determining the Number of Malware Clusters", Chinese Patent, Number 200910040998.7, Awarded 2011.