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Yanfang (Fanny) Ye
Yanfang (Fanny) Ye
Galassi Family Collegiate Professor in Computer Science and Engineering, University of Notre Dame
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
Heterogeneous graph attention network
X Wang, H Ji, C Shi, B Wang, Y Ye, P Cui, PS Yu
The world wide web conference, 2022-2032, 2019
26662019
A survey on malware detection using data mining techniques
Y Ye, T Li, D Adjeroh, SS Iyengar
ACM Computing Surveys (CSUR) 50 (3), 1-40, 2017
7192017
A survey on heterogeneous graph embedding: methods, techniques, applications and sources
X Wang, D Bo, C Shi, S Fan, Y Ye, SY Philip
IEEE Transactions on Big Data 9 (2), 415-436, 2022
3752022
Hindroid: An intelligent android malware detection system based on structured heterogeneous information network
S Hou, Y Ye, Y Song, M Abdulhayoglu
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
2992017
IMDS: Intelligent malware detection system
Y Ye, D Wang, T Li, D Ye
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2972007
An intelligent PE-malware detection system based on association mining
Y Ye, D Wang, T Li, D Ye, Q Jiang
Journal in computer virology 4, 323-334, 2008
2792008
Heterogeneous graph structure learning for graph neural networks
J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4697-4705, 2021
2742021
DL4MD: A deep learning framework for intelligent malware detection
W Hardy, L Chen, S Hou, Y Ye, X Li
Proceedings of the International Conference on Data Science (ICDATA), 61, 2016
2732016
Deep4maldroid: A deep learning framework for android malware detection based on linux kernel system call graphs
S Hou, A Saas, L Chen, Y Ye
2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016
2642016
Trustllm: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
arXiv preprint arXiv:2401.05561, 2024
2192024
Malicious sequential pattern mining for automatic malware detection
Y Fan, Y Ye, L Chen
Expert Systems with Applications 52, 16-25, 2016
2152016
Automatic detection of helmet uses for construction safety
AHM Rubaiyat, TT Toma, M Kalantari-Khandani, SA Rahman, L Chen, ...
2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016
1912016
Knowledge-aware coupled graph neural network for social recommendation
C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4115-4122, 2021
1882021
Automatic malware categorization using cluster ensemble
Y Ye, T Li, Y Chen, Q Jiang
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
1562010
DeepAM: a heterogeneous deep learning framework for intelligent malware detection
Y Ye, L Chen, S Hou, W Hardy, X Li
Knowledge and Information Systems 54, 265-285, 2018
1512018
Adversarial machine learning in malware detection: Arms race between evasion attack and defense
L Chen, Y Ye, T Bourlai
2017 European intelligence and security informatics conference (EISIC), 99-106, 2017
1462017
CIMDS: adapting postprocessing techniques of associative classification for malware detection
Y Ye, T Li, Q Jiang, Y Wang
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010
1462010
Temporal network embedding with micro-and macro-dynamics
Y Lu, X Wang, C Shi, PS Yu, Y Ye
Proceedings of the 28th ACM international conference on information and …, 2019
1452019
SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging
Y Ye, L Chen, D Wang, T Li, Q Jiang, M Zhao
Journal in computer virology 5, 283-293, 2009
1442009
Cotext: Multi-task learning with code-text transformer
L Phan, H Tran, D Le, H Nguyen, J Anibal, A Peltekian, Y Ye
arXiv preprint arXiv:2105.08645, 2021
1402021
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