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2020 – today
- 2022
[j21]Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan:
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16(2): 40:1-40:28 (2022)- 2021
- [j20]Tianxi Ji, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang Ye, Jinyuan Sun:
Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. Proc. VLDB Endow. 14(5): 849-862 (2021) - [j19]Qingzhe Li
, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao:
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. IEEE Trans. Knowl. Data Eng. 33(5): 2029-2044 (2021) - [j18]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware. IEEE Trans. Netw. Sci. Eng. 8(1): 736-750 (2021) - [c61]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c60]Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705 - [c59]Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao:
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. AAAI 2021: 7754-7761 - [c58]Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM 2021: 2537-2546 - [c57]Lingwei Chen, Yujie Fan, Yanfang Ye:
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM 2021: 2935-2939 - [c56]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CIKM 2021: 3838-3846 - [c55]Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang:
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI 2021: 3684-3690 - [c54]Fei Shao, Rui Xu, Wasif Arman Haque, Jingwei Xu, Ying Zhang, Wei Yang, Yanfang Ye, Xusheng Xiao:
WebEvo: taming web application evolution via detecting semantic structure changes. ISSTA 2021: 16-28 - [c53]Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong:
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. KDD 2021: 2831-2839 - [c52]Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c51]Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang:
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD 2021: 4157-4158 - [c50]Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang:
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) 2021: 319-334 - [c49]Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao:
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. WWW 2021: 518-528 - [i17]Long N. Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James T. Anibal, Alec Peltekian, Yanfang Ye:
CoTexT: Multi-task Learning with Code-Text Transformer. CoRR abs/2105.08645 (2021) - [i16]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. CoRR abs/2108.08301 (2021) - [i15]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CoRR abs/2108.08920 (2021) - [i14]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i13]Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye:
Gophormer: Ego-Graph Transformer for Node Classification. CoRR abs/2110.13094 (2021) - [i12]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. CoRR abs/2110.13889 (2021) - 2020
- [j17]Jianfei Zhang, Lifei Chen, Yanfang Ye, Gongde Guo, Rongbo Chen, Alain Vanasse, Shengrui Wang:
Survival neural networks for time-to-event prediction in longitudinal study. Knowl. Inf. Syst. 62(9): 3727-3751 (2020) - [j16]Xuan Xu, Yanfang Ye, Xin Li:
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. IEEE Trans. Computational Imaging 6: 968-980 (2020) - [j15]Yanfang Ye, Shifu Hou, Yujie Fan, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo:
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States. IEEE J. Biomed. Health Informatics 24(10): 2755-2764 (2020) - [j14]Liang Zhao, Feng Chen, Yanfang Ye:
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. IEEE Trans. Knowl. Data Eng. 32(10): 1923-1935 (2020) - [c48]Yiming Zhang, Yiyue Qian, Yujie Fan, Yanfang Ye, Xin Li, Qi Xiong, Fudong Shao:
dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets. ACSAC 2020: 669-680 - [c47]Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo:
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. CIKM 2020: 2909-2916 - [c46]Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu:
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub. ICKG 2020: 458-465 - [c45]Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao:
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. ICDM 2020: 132-141 - [c44]Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye:
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI 2020: 1366-1372 - [c43]Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye:
Interpretable Deep Graph Generation with Node-edge Co-disentanglement. KDD 2020: 1697-1707 - [c42]Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla:
Multi-modal Network Representation Learning. KDD 2020: 3557-3558 - [i11]Yanfang Ye, Shifu Hou, Yujie Fan, Yiyue Qian, Yiming Zhang, Shiyu Sun, Qian Peng, Kenneth A. Loparo:
α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19. CoRR abs/2003.12232 (2020) - [i10]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Deep Neural Networks Against Adversarial Malware Examples. CoRR abs/2004.07919 (2020) - [i9]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
SoK: Arms Race in Adversarial Malware Detection. CoRR abs/2005.11671 (2020) - [i8]Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye:
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement. CoRR abs/2006.05385 (2020) - [i7]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR abs/2011.14867 (2020)
2010 – 2019
- 2019
- [c41]Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang:
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. AAAI 2019: 3638-3646 - [c40]Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao:
iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow. ASONAM 2019: 1097-1104 - [c39]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM 2019: 469-478 - [c38]Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi:
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. CIKM 2019: 549-558 - [c37]Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model. CIKM 2019: 609-618 - [c36]Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye:
Author Set Identification via Quasi-Clique Discovery. CIKM 2019: 771-780 - [c35]Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM 2019: 2991-2992 - [c34]Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu:
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM 2019: 1192-1197 - [c33]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. IJCAI 2019: 2272-2278 - [c32]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. IJCAI 2019: 4150-4156 - [c31]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu:
Heterogeneous Graph Attention Network. WWW 2019: 2022-2032 - [c30]Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong:
Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. WWW 2019: 3448-3454 - [i6]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye:
Heterogeneous Graph Attention Network. CoRR abs/1903.07293 (2019) - [i5]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CoRR abs/1909.04246 (2019) - [i4]Xuan Xu, Yanfang Ye, Xin Li:
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. CoRR abs/1911.03558 (2019) - [i3]Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye:
Hyperbolic Graph Attention Network. CoRR abs/1912.03046 (2019) - 2018
- [j13]Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang:
Adverse event detection by integrating twitter data and VAERS. J. Biomed. Semant. 9(1): 19:1-19:10 (2018) - [j12]Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li:
DeepAM: a heterogeneous deep learning framework for intelligent malware detection. Knowl. Inf. Syst. 54(2): 265-285 (2018) - [c29]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. AAAI Workshops 2018: 538-546 - [c28]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. ACSAC 2018: 542-552 - [c27]Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu:
DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM 2018: 782-789 - [c26]Yiming Zhang, Yujie Fan, Shifu Hou, Jian Liu, Yanfang Ye, Thirimachos Bourlai:
iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network. ASONAM 2018: 1071-1078 - [c25]Junxiang Wang, Liang Zhao, Yanfang Ye:
Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection. IEEE BigData 2018: 851-860 - [c24]Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, Qi Xiong, Fudong Shao:
KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network. ICBK 2018: 154-161 - [c23]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. IJCAI 2018: 3357-3363 - [c22]Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu:
Make Evasion Harder: An Intelligent Android Malware Detection System. IJCAI 2018: 5279-5283 - [c21]Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu:
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. KDD 2018: 253-262 - [i2]Yanfang Ye, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao:
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection. CoRR abs/1811.01027 (2018) - [i1]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. CoRR abs/1812.08108 (2018) - 2017
- [j11]Yanfang Ye, Tao Li, Donald A. Adjeroh, S. Sitharama Iyengar:
A Survey on Malware Detection Using Data Mining Techniques. ACM Comput. Surv. 50(3): 41:1-41:40 (2017) - [j10]Gongde Guo, Lifei Chen, Yanfang Ye, Qingshan Jiang:
Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2936-2948 (2017) - [c20]Lingwei Chen, Shifu Hou, Yanfang Ye:
SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC 2017: 362-372 - [c19]Shifu Hou, Lingwei Chen, Yanfang Ye, Lifei Chen:
Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. APWeb/WAIM Workshops 2017: 31-42 - [c18]Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen:
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops 2017: 43-55 - [c17]Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai:
Deep Neural Networks for Automatic Android Malware Detection. ASONAM 2017: 803-810 - [c16]Lingwei Chen, Yanfang Ye:
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence 2017: 76-89 - [c15]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. CIKM 2017: 1259-1267 - [c14]Lingwei Chen, Yanfang Ye, Thirimachos Bourlai:
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC 2017: 99-106 - [c13]Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Wanhong Zheng:
Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. ICDM Workshops 2017: 502-509 - [c12]Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu:
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. KDD 2017: 1507-1515 - 2016
- [j9]Yujie Fan, Yanfang Ye, Lifei Chen:
Malicious sequential pattern mining for automatic malware detection. Expert Syst. Appl. 52: 16-25 (2016) - [j8]Ming Ni, Tao Li, Qianmu Li, Hong Zhang, Yanfang Ye:
FindMal: A file-to-file social network based malware detection framework. Knowl. Based Syst. 112: 142-151 (2016) - [j7]Lifei Chen, Yanfang Ye, Gongde Guo, Jianping Zhu:
Kernel-based linear classification on categorical data. Soft Comput. 20(8): 2981-2993 (2016) - [c11]Shifu Hou, Aaron Saas, Yanfang Ye, Lifei Chen:
DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks. WAIM Workshops 2016: 54-66 - [c10]Shifu Hou, Aaron Saas, Lifei Chen, Yanfang Ye:
Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs. WI Workshops 2016: 104-111 - [c9]Abu Hasnat Mohammad Rubaiyat, Tanjin T. Toma, Masoumeh Kalantari Khandani, Syed Ashiqur Rahman, Lingwei Chen, Yanfang Ye, Christopher S. Pan:
Automatic Detection of Helmet Uses for Construction Safety. WI Workshops 2016: 135-142 - 2015
- [j6]Yanfang Ye, Tao Li, Haiyin Shen:
Soter: Smart Bracelets for Children's Safety. ACM Trans. Intell. Syst. Technol. 6(4): 46:1-46:20 (2015) - [c8]Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye:
Intelligent malware detection based on file relation graphs. ICSC 2015: 85-92 - [c7]Shifu Hou, Lifei Chen, Egemen Tas, Igor Demihovskiy, Yanfang Ye:
Cluster-oriented ensemble classifiers for intelligent malware detection. ICSC 2015: 189-196 - [c6]Lingwei Chen, William Hardy, Yanfang Ye, Tao Li:
Analyzing File-to-File Relation Network in Malware Detection. WISE (1) 2015: 415-430 - 2012
- [j5]Weiwei Zhuang, Yanfang Ye, Yong Chen, Tao Li:
Ensemble Clustering for Internet Security Applications. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1784-1796 (2012) - 2011
- [c5]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. KDD 2011: 222-230 - 2010
- [j4]Yanfang Ye, Tao Li, Kai Huang, Qingshan Jiang, Yong Chen:
Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list. J. Intell. Inf. Syst. 35(1): 1-20 (2010) - [j3]Yanfang Ye, Tao Li, Qingshan Jiang, Youyu Wang:
CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection. IEEE Trans. Syst. Man Cybern. Part C 40(3): 298-307 (2010) - [c4]Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang:
Automatic malware categorization using cluster ensemble. KDD 2010: 95-104
2000 – 2009
- 2009
- [j2]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. J. Comput. Virol. 5(4): 283-293 (2009) - [c3]Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan:
Intelligent file scoring system for malware detection from the gray list. KDD 2009: 1385-1394 - 2008
- [j1]Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye, Qingshan Jiang:
An intelligent PE-malware detection system based on association mining. J. Comput. Virol. 4(4): 323-334 (2008) - [c2]Lifei Chen, Yanfang Ye, Qingshan Jiang:
A New Centroid-Based Classifier for Text Categorization. AINA Workshops 2008: 1217-1222 - 2007
- [c1]Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye:
IMDS: intelligent malware detection system. KDD 2007: 1043-1047
Coauthor Index
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