| Droidbot: a lightweight ui-guided test input generator for android Y Li, Z Yang, Y Guo, X Chen 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 234 | 2017 |
| Humanoid: A deep learning-based approach to automated black-box android app testing Y Li, Z Yang, Y Guo, X Chen 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 107 | 2019 |
| Representational Continuity for Unsupervised Continual Learning D Madaan, J Yoon, Y Li, Y Liu, SJ Hwang International Conference on Learning Representations, 2022 | 75 | 2022 |
| Programming IoT devices by demonstration using mobile apps TJJ Li, Y Li, F Chen, BA Myers End-User Development: 6th International Symposium, IS-EUD 2017, Eindhoven …, 2017 | 69 | 2017 |
| Why are they collecting my data? inferring the purposes of network traffic in mobile apps H Jin, M Liu, K Dodhia, Y Li, G Srivastava, M Fredrikson, Y Agarwal, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 58 | 2018 |
| Understanding the purpose of permission use in mobile apps H Wang, Y Li, Y Guo, Y Agarwal, JI Hong ACM Transactions on Information Systems (TOIS) 35 (4), 1-40, 2017 | 57 | 2017 |
| Privacystreams: Enabling transparency in personal data processing for mobile apps Y Li, F Chen, TJJ Li, Y Guo, G Huang, M Fredrikson, Y Agarwal, JI Hong Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 52 | 2017 |
| Deeppayload: Black-box backdoor attack on deep learning models through neural payload injection Y Li, J Hua, H Wang, C Chen, Y Liu 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 50 | 2021 |
| Flexible high-resolution object detection on edge devices with tunable latency S Jiang, Z Lin, Y Li, Y Shu, Y Liu Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 45 | 2021 |
| Beyond the virus: a first look at coronavirus-themed Android malware L Wang, R He, H Wang, P Xia, Y Li, L Wu, Y Zhou, X Luo, Y Sui, Y Guo, ... Empirical Software Engineering 26 (4), 82, 2021 | 43* | 2021 |
| PERUIM: Understanding mobile application privacy with permission-ui mapping Y Li, Y Guo, X Chen Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 39 | 2016 |
| Dynamic slicing for deep neural networks Z Zhang, Y Li, Y Guo, X Chen, Y Liu Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 30 | 2020 |
| FedBalancer: data and pace control for efficient federated learning on heterogeneous clients J Shin, Y Li, Y Liu, SJ Lee Proceedings of the 20th Annual International Conference on Mobile Systems …, 2022 | 28* | 2022 |
| ModelDiff: Testing-based DNN similarity comparison for model reuse detection Y Li, Z Zhang, B Liu, Z Yang, Y Liu Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 28 | 2021 |
| Mining user reviews for mobile app comparisons Y Li, B Jia, Y Guo, X Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 28 | 2017 |
| Pmc: A privacy-preserving deep learning model customization framework for edge computing B Liu, Y Li, Y Liu, Y Guo, X Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 22 | 2020 |
| ReMoS: reducing defect inheritance in transfer learning via relevant model slicing Z Zhang, Y Li, J Wang, B Liu, D Li, Y Guo, X Chen, Y Liu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 20 | 2022 |
| DistFL: Distribution-aware federated learning for mobile scenarios B Liu, Y Cai, Z Zhang, Y Li, L Wang, D Li, Y Guo, X Chen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 13 | 2021 |
| Glider: A reinforcement learning approach to extract UI scripts from websites Y Li, O Riva Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 9 | 2021 |
| Automated extraction of personal knowledge from smartphone push notifications Y Li, Z Yang, Y Guo, X Chen, Y Agarwal, JI Hong 2018 IEEE International Conference on Big Data (Big Data), 733-742, 2018 | 9 | 2018 |
Yao Guo (郭耀)Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
