| Practical GUI testing of Android applications via model abstraction and refinement T Gu, C Sun, X Ma, C Cao, C Xu, Y Yao, Q Zhang, J Lu, Z Su 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 194 | 2019 |
| Commit message generation for source code changes S Xu, Y Yao, F Xu, T Gu, H Tong, J Lu IJCAI, 2019 | 115 | 2019 |
| Detecting high-quality posts in community question answering sites Y Yao, H Tong, T Xie, L Akoglu, F Xu, J Lu Information Sciences 302, 70-82, 2015 | 98 | 2015 |
| Large-scale off-target identification using fast and accurate dual regularized one-class collaborative filtering and its application to drug repurposing H Lim, A Poleksic, Y Yao, H Tong, D He, L Zhuang, P Meng, L Xie PLoS computational biology 12 (10), e1005135, 2016 | 88 | 2016 |
| An invisible black-box backdoor attack through frequency domain T Wang, Y Yao, F Xu, S An, H Tong, T Wang European Conference on Computer Vision, 396-413, 2022 | 87 | 2022 |
| Dual-regularized one-class collaborative filtering Y Yao, H Tong, G Yan, F Xu, X Zhang, BK Szymanski, J Lu Proceedings of the 23rd ACM international conference on conference on …, 2014 | 81 | 2014 |
| Matri: a multi-aspect and transitive trust inference model Y Yao, H Tong, X Yan, F Xu, J Lu Proceedings of the 22nd international conference on World Wide Web, 1467-1476, 2013 | 72 | 2013 |
| Deepintent: Deep icon-behavior learning for detecting intention-behavior discrepancy in mobile apps S Xi, S Yang, X Xiao, Y Yao, Y Xiong, F Xu, H Wang, P Gao, Z Liu, F Xu, ... Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 69 | 2019 |
| Mirror: Model inversion for deep learning network with high fidelity S An, G Tao, Q Xu, Y Liu, G Shen, Y Yao, J Xu, X Zhang Proceedings of the 29th Network and Distributed System Security Symposium, 2022 | 64 | 2022 |
| Bug triaging based on tossing sequence modeling SQ Xi, Y Yao, XS Xiao, F Xu, J Lv Journal of Computer Science and Technology 34, 942-956, 2019 | 54 | 2019 |
| Addressing common vulnerabilities of reputation systems for electronic commerce Y Yao, S Ruohomaa, F Xu Journal of theoretical and applied electronic commerce research 7 (1), 1-20, 2012 | 54 | 2012 |
| Towards robust neural graph collaborative filtering via structure denoising and embedding perturbation H Ye, X Li, Y Yao, H Tong ACM Transactions on Information Systems 41 (3), 1-28, 2023 | 51 | 2023 |
| A brief review of network embedding Y Wang, Y Yao, H Tong, F Xu, J Lu Big Data Mining and Analytics 2 (1), 35-47, 2018 | 51 | 2018 |
| Hashtag recommendation for photo sharing services S Zhang, Y Yao, F Xu, H Tong, X Yan, J Lu Proceedings of the AAAI conference on artificial intelligence 33 (01), 5805-5812, 2019 | 50 | 2019 |
| Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. J Xu, Y Yao, H Tong, X Tao, J Lu IJCAI, 3981-3987, 2015 | 49 | 2015 |
| Tag2word: Using tags to generate words for content based tag recommendation Y Wu, Y Yao, F Xu, H Tong, J Lu Proceedings of the 25th ACM international on conference on information and …, 2016 | 44 | 2016 |
| An embarrassingly simple backdoor attack on self-supervised learning C Li, R Pang, Z Xi, T Du, S Ji, Y Yao, T Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 42 | 2023 |
| Backdoor attack through frequency domain T Wang, Y Yao, F Xu, S An, H Tong, T Wang arXiv preprint arXiv:2111.10991, 2021 | 39 | 2021 |
| RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem J Xu, Y Yao, H Tong, X Tao, J Lu IEEE Transactions on Knowledge and Data Engineering 29 (6), 1296-1309, 2016 | 37 | 2016 |
| Guiding supervised topic modeling for content based tag recommendation Y Wu, S Xi, Y Yao, F Xu, H Tong, J Lu Neurocomputing 314, 479-489, 2018 | 31 | 2018 |
Hanghang TongUniversity of Illinois at Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
