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 | 280 | 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 | 165 | 2019 |
Representational Continuity for Unsupervised Continual Learning D Madaan, J Yoon, Y Li, Y Liu, SJ Hwang International Conference on Learning Representations, 2022 | 114 | 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 | 76 | 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 | 70 | 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 | 66 | 2021 |
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 | 63 | 2018 |
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 | 57 | 2017 |
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 | 56 | 2017 |
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 | 48* | 2022 |
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 | 44* | 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 | 41 | 2016 |
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 | 38 | 2021 |
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 | 34 | 2020 |
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 | 34 | 2017 |
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 | 33 | 2022 |
Empowering llm to use smartphone for intelligent task automation H Wen, Y Li, G Liu, S Zhao, T Yu, TJJ Li, S Jiang, Y Liu, Y Zhang, Y Liu arXiv preprint arXiv:2308.15272, 2023 | 32 | 2023 |
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 | 24 | 2020 |
A survey of resource-efficient llm and multimodal foundation models M Xu, W Yin, D Cai, R Yi, D Xu, Q Wang, B Wu, Y Zhao, C Yang, S Wang, ... arXiv preprint arXiv:2401.08092, 2024 | 20 | 2024 |
Personal llm agents: Insights and survey about the capability, efficiency and security Y Li, H Wen, W Wang, X Li, Y Yuan, G Liu, J Liu, W Xu, X Wang, Y Sun, ... arXiv preprint arXiv:2401.05459, 2024 | 19 | 2024 |