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Hao Lin
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Experiences of landing machine learning onto market-scale mobile malware detection
L Gong, Z Li, F Qian, Z Zhang, QA Chen, Z Qian, H Lin, Y Liu
Proceedings of the Fifteenth European Conference on Computer Systems, 1-14, 2020
462020
Mobile access bandwidth in practice: Measurement, analysis, and implications
X Yang, H Lin, Z Li, F Qian, X Li, Z He, X Wu, X Wang, Y Liu, Z Liao, D Hu, ...
Proceedings of the ACM SIGCOMM 2022 Conference, 114-128, 2022
232022
A nationwide study on cellular reliability: Measurement, analysis, and enhancements
Y Li, H Lin, Z Li, Y Liu, F Qian, L Gong, X Xin, T Xu
Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 597-609, 2021
232021
Systematically landing machine learning onto market-scale mobile malware detection
L Gong, H Lin, Z Li, F Qian, Y Li, X Ma, Y Liu
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1615-1628, 2020
162020
Overlay-based android malware detection at market scales: systematically adapting to the new technological landscape
L Gong, Z Li, H Wang, H Lin, X Ma, Y Liu
IEEE Transactions on Mobile Computing 21 (12), 4488-4501, 2021
112021
A nationwide census on wifi security threats: prevalence, riskiness, and the economics
D Gao, H Lin, Z Li, F Qian, QA Chen, Z Qian, W Liu, L Gong, Y Liu
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
92021
Trinity:{High-Performance} Mobile Emulation through Graphics Projection
D Gao, H Lin, Z Li, C Huang, Y Liu, F Qian, L Gong, T Xu
16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022
62022
Fusing speed index during Web page loading
W Liu, X Yang, H Lin, Z Li, F Qian
Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (1 …, 2022
52022
Experience: Aging or glitching? Why does android stop responding and what can we do about it?
M Li, H Lin, C Liu, Z Li, F Qian, Y Liu, N Sun, T Xu
Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020
52020
Virtual device farms for mobile app testing at scale: A pursuit for fidelity, efficiency, and accessibility
H Lin, J Qiu, H Wang, Z Li, L Gong, D Gao, Y Liu, F Qian, Z Zhang, P Yang, ...
Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023
32023
Who Should We Blame for Android App Crashes? An In-Depth Study at Scale and Practical Resolutions
L Gong, H Lin, D Liu, L Yang, H Wang, J Qiu, Z Li, F Qian
ACM Transactions on Sensor Networks, 2024
12024
Visual-Aware Testing and Debugging for Web Performance Optimization
X Yang, W Liu, H Lin, Z Li, F Qian, X Wang, Y Liu, T Xu
Proceedings of the ACM Web Conference 2023, 2948-2959, 2023
12023
Aging or glitching? what leads to poor android responsiveness and what can we do about it?
H Lin, C Liu, Z Li, F Qian, M Li, P Xiong, Y Liu
IEEE Transactions on Mobile Computing, 2023
12023
WebAssembly-based Delta Sync for Cloud Storage Services
J Zheng, Z Li, Y Qiu, H Lin, H Xiao, Y Li, Y Liu
ACM Transactions on Storage (TOS) 18 (3), 1-31, 2022
12022
Trinity: High-Performance and Reliable Mobile Emulation through Graphics Projection
H Lin, Z Li, D Gao, Y Liu, F Qian, T Xu
ACM Transactions on Computer Systems, 2024
2024
Virtual Device Farms for Mobile App Testing at Scale
H Lin, J Qiu, H Wang, Z Li, L Gong, D Gao, Y Liu, F Qian, Z Zhang, P Yang, ...
2023
TAKE THE BLUE PILL: PURSUING MOBILE APP TESTING FIDELITY, EFFICIENCY, AND ACCESSIBILITY WITH VIRTUAL DEVICE FARMS
H Lin, J Qiu, H Wang, Z Li, L Gong, D Gao, Y Liu, F Qian, Z Zhang, P Yang, ...
Poster: Experiences of Landing Machine Learning onto Market-Scale Mobile Malware Detection
H Lin, L Gong, Z Li, F Qian, Z Zhang, QA Chen, Z Qian, Y Liu
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