| Malicious sequential pattern mining for automatic malware detection Y Fan, Y Ye, L Chen Expert Systems with Applications 52, 16-25, 2016 | 209 | 2016 |
| Gotcha-sly malware! scorpion a metagraph2vec based malware detection system Y Fan, S Hou, Y Zhang, Y Ye, M Abdulhayoglu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 116 | 2018 |
| Key player identification in underground forums over attributed heterogeneous information network embedding framework Y Zhang, Y Fan, Y Ye, L Zhao, C Shi Proceedings of the 28th ACM international conference on information and …, 2019 | 102 | 2019 |
| -Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19 Y Ye, S Hou, Y Fan, Y Qian, Y Zhang, S Sun, Q Peng, K Laparo arXiv preprint arXiv:2003.12232, 2020 | 66 | 2020 |
| Your style your identity: Leveraging writing and photography styles for drug trafficker identification in darknet markets over attributed heterogeneous information network Y Zhang, Y Fan, W Song, S Hou, Y Ye, X Li, L Zhao, C Shi, J Wang, ... The World Wide Web Conference, 3448-3454, 2019 | 61 | 2019 |
| Social media for opioid addiction epidemiology: Automatic detection of opioid addicts from twitter and case studies Y Fan, Y Zhang, Y Ye, X Li, W Zheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 52 | 2017 |
| αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model S Hou, Y Fan, Y Zhang, Y Ye, J Lei, W Wan, J Wang, Q Xiong, F Shao Proceedings of the 28th ACM international conference on information and …, 2019 | 51 | 2019 |
| Heterogeneous temporal graph neural network Y Fan, M Ju, C Zhang, Y Ye Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 40 | 2022 |
| Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network. Y Fan, Y Zhang, Y Ye, X Li IJCAI, 3357-3363, 2018 | 38 | 2018 |
| Heterogeneous temporal graph transformer: An intelligent system for evolving android malware detection Y Fan, M Ju, S Hou, Y Ye, W Wan, K Wang, Y Mei, Q Xiong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 36 | 2021 |
| -Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States Y Ye, S Hou, Y Fan, Y Zhang, Y Qian, S Sun, Q Peng, M Ju, W Song, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2755-2764, 2020 | 30 | 2020 |
| idev: Enhancing social coding security by cross-platform user identification between github and stack overflow Y Fan, Y Zhang, S Hou, L Chen, Y Ye, C Shi, L Zhao, S Xu 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2019 | 29 | 2019 |
| Toward a foundation model for time series data CCM Yeh, X Dai, H Chen, Y Zheng, Y Fan, A Der, V Lai, Z Zhuang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 26 | 2023 |
| Let graph be the go board: gradient-free node injection attack for graph neural networks via reinforcement learning M Ju, Y Fan, C Zhang, Y Ye Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4383-4390, 2023 | 26 | 2023 |
| Metagraph aggregated heterogeneous graph neural network for illicit traded product identification in underground market Y Fan, Y Ye, Q Peng, J Zhang, Y Zhang, X Xiao, C Shi, Q Xiong, F Shao, ... 2020 IEEE International Conference on Data Mining (ICDM), 132-141, 2020 | 25 | 2020 |
| Boosting graph neural networks via adaptive knowledge distillation Z Guo, C Zhang, Y Fan, Y Tian, C Zhang, NV Chawla Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7793-7801, 2023 | 22 | 2023 |
| Cyber-guided deep neural network for malicious repository detection in github Y Zhang, Y Fan, S Hou, Y Ye, X Xiao, P Li, C Shi, L Zhao, S Xu 2020 IEEE International Conference on Knowledge Graph (ICKG), 458-465, 2020 | 22 | 2020 |
| Adaptive kernel graph neural network M Ju, S Hou, Y Fan, J Zhao, Y Ye, L Zhao Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 7051-7058, 2022 | 20 | 2022 |
| Adversarial reprogramming of pretrained neural networks for fraud detection L Chen, Y Fan, Y Ye Proceedings of the 30th ACM International Conference on Information …, 2021 | 17 | 2021 |
| Disentangled representation learning in heterogeneous information network for large-scale android malware detection in the COVID-19 era and beyond S Hou, Y Fan, M Ju, Y Ye, W Wan, K Wang, Y Mei, Q Xiong, F Shao Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7754-7761, 2021 | 16 | 2021 |
