Yanfang Ye

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 91

Top Venues

Publications

Haishun Du, Xinxin Hao, Yanfang Ye, Linbing He, Jiangtao Guo
A camera style-invariant learning and channel interaction enhancement fusion network for visible-infrared person re-identification. Mach. Vis. Appl. 34 (6) (2023)
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
Graph Mining for Cybersecurity: A Survey. CoRR (2023)
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
Disentangled Spatiotemporal Graph Generative Models. CoRR (2022)
Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao
Black-box Node Injection Attack for Graph Neural Networks. CoRR (2022)
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) (2022)
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)
Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD (2021)
Lingwei Chen, Yujie Fan, Yanfang Ye
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. CIKM (2021)
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)
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) (2021)
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 (2021)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
Adaptive Kernel Graph Neural Network. CoRR (2021)
Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI (2021)
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)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. CoRR (2021)
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI (2021)
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) (2021)
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 (2021)
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)
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 (2021)
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)
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)
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)
Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) (2021)
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)
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) (2021)
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
Gophormer: Ego-Graph Transformer for Node Classification. CoRR (2021)
Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. CoRR (2021)
Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
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)
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
Interpretable Deep Graph Generation with Node-edge Co-disentanglement. KDD (2020)
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement. CoRR (2020)
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)
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) (2020)
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 (2020)
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) (2020)
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) (2020)
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)
Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
Multi-modal Network Representation Learning. KDD (2020)
Xuan Xu, Yanfang Ye, Xin Li
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. IEEE Trans. Computational Imaging 6 (2020)
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI (2020)
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
Enhancing Deep Neural Networks Against Adversarial Malware Examples. CoRR (2020)
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)
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu
SoK: Arms Race in Adversarial Malware Detection. CoRR (2020)
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 (2020)
Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye
Author Set Identification via Quasi-Clique Discovery. CIKM (2019)
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
Heterogeneous Graph Attention Network. CoRR (2019)
Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM (2019)
Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye
Hyperbolic Graph Attention Network. CoRR (2019)
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)
Chuan Shi, Yanfang Ye, Jiawei Zhang
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM (2019)
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)
Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
Temporal Network Embedding with Micro- and Macro-dynamics. CoRR (2019)
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)
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)
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)
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)
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)
Xuan Xu, Yanfang Ye, Xin Li
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. CoRR (2019)
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
Heterogeneous Graph Attention Network. WWW (2019)
Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao
: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model. CIKM (2019)
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)
Yiming Zhang, Yujie Fan, Shifu Hou, Jian Liu, Yanfang Ye, Thirimachos Bourlai
iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network. ASONAM (2018)
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)
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) (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. AAAI Workshops (2018)
Junxiang Wang, Liang Zhao, Yanfang Ye
Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection. IEEE BigData (2018)
Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu
Gotcha - Sly Malware!: Scorpion A Metagraph2vec Based Malware Detection System. KDD (2018)
Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu
Make Evasion Harder: An Intelligent Android Malware Detection System. IJCAI (2018)
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 (2018)
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 (2018)
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)
Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu
DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks. ASONAM (2018)
Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang
Adverse event detection by integrating twitter data and VAERS. J. Biomed. Semant. 9 (1) (2018)
Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. EISIC (2017)
Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Wanhong Zheng
Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. ICDM Workshops (2017)
Lingwei Chen, Yanfang Ye
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks. Australasian Conference on Artificial Intelligence (2017)
Yanfang Ye, Tao Li, Donald A. Adjeroh, S. Sitharama Iyengar
A Survey on Malware Detection Using Data Mining Techniques. ACM Comput. Surv. 50 (3) (2017)
Shifu Hou, Aaron Saas, Lingwei Chen, Yanfang Ye, Thirimachos Bourlai
Deep Neural Networks for Automatic Android Malware Detection. ASONAM (2017)
Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. KDD (2017)
Lingwei Chen, Shifu Hou, Yanfang Ye, Lifei Chen
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. APWeb/WAIM Workshops (2017)
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)
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) (2017)
Lingwei Chen, Shifu Hou, Yanfang Ye
SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks. ACSAC (2017)
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)
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 (2016)
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)
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)
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)
Yujie Fan, Yanfang Ye, Lifei Chen
Malicious sequential pattern mining for automatic malware detection. Expert Syst. Appl. 52 (2016)
Lifei Chen, Yanfang Ye, Gongde Guo, Jianping Zhu
Kernel-based linear classification on categorical data. Soft Comput. 20 (8) (2016)
Shifu Hou, Lifei Chen, Egemen Tas, Igor Demihovskiy, Yanfang Ye
Cluster-oriented ensemble classifiers for intelligent malware detection. ICSC (2015)
Lingwei Chen, William Hardy, Yanfang Ye, Tao Li
Analyzing File-to-File Relation Network in Malware Detection. WISE (1) (2015)
Yanfang Ye, Tao Li, Haiyin Shen
Soter: Smart Bracelets for Children's Safety. ACM Trans. Intell. Syst. Technol. 6 (4) (2015)
Lingwei Chen, Tao Li, Melih Abdulhayoglu, Yanfang Ye
Intelligent malware detection based on file relation graphs. ICSC (2015)
Weiwei Zhuang, Yanfang Ye, Yong Chen, Tao Li
Ensemble Clustering for Internet Security Applications. IEEE Trans. Syst. Man Cybern. Part C 42 (6) (2012)
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)
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
Automatic malware categorization using cluster ensemble. KDD (2010)
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) (2010)
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) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yanfang Ye