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Yuanchun Li
Yuanchun Li
Institute for AI Industry Research (AIR), Tsinghua University
Verifierad e-postadress på air.tsinghua.edu.cn - Startsida
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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
3312017
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
2012019
Representational Continuity for Unsupervised Continual Learning
D Madaan, J Yoon, Y Li, Y Liu, SJ Hwang
International Conference on Learning Representations, 2022
1522022
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
1362024
Autodroid: Llm-powered task automation in android
H Wen, Y Li, G Liu, S Zhao, T Yu, TJJ Li, S Jiang, Y Liu, Y Zhang, Y Liu
Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024
114*2024
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
962021
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
962021
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
912024
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
84*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
812017
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
722018
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
612017
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
602017
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
562021
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
50*2021
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
452022
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
432016
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
402020
Llm as a system service on mobile devices
W Yin, M Xu, Y Li, X Liu
arXiv preprint arXiv:2403.11805, 2024
392024
Droidbot-gpt: Gpt-powered ui automation for android
H Wen, H Wang, J Liu, Y Li
arXiv preprint arXiv:2304.07061, 2023
392023
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Artiklar 1–20