Li Lyna Zhang
Li Lyna Zhang
Microsoft Research Asia
Verified email at - Homepage
Cited by
Cited by
Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
CJM Liang, ND Lane, N Brouwers, L Zhang, BF Karlsson, H Liu, Y Liu, ...
MobiCom (International Conference on Mobile Computing and Networking), 2014
Fast hardware-aware neural architecture search
LL Zhang, Y Yang, Y Jiang, W Zhu, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices
LL Zhang, S Han, J Wei, N Zheng, T Cao, Y Yang, Y Liu
Proceedings of the 19th Annual International Conference on Mobile Systems …, 2021
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
LL Zhang, CJM Liang, ZL Li, Y Liu, F Zhao, E Chen
TMC (IEEE Transactions on Mobile Computing), 2017
Contextual fuzzing: automated mobile app testing under dynamic device and environment conditions
CJM Liang, N Lane, N Brouwers, L Zhang, B Karlsson, R Chandra, ...
Microsoft. Microsoft, nd Web, 2013
Systematically testing background services of mobile apps
LL Zhang, CJM Liang, Y Liu, E Chen
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
To bridge neural network design and real-world performance: A behaviour study for neural networks
X Tang, S Han, LL Zhang, T Cao, Y Liu
Proceedings of Machine Learning and Systems 3, 21-37, 2021
Towards efficient vision transformer inference: a first study of transformers on mobile devices
X Wang, LL Zhang, Y Wang, M Yang
Proceedings of the 23rd Annual International Workshop on Mobile Computing …, 2022
Crossroads: A Framework for Developing Proximity-based Social Interactions
CJM Liang, H Jin, Y Yang, L Zhang, F Zhao
Mobiquitous (International Conference on Mobile and Ubiquitous Systems), 2013
Towards a contextual and scalable automated-testing service for mobile apps
LL Zhang, CJM Liang, W Zhang, E Chen
Proceedings of the 18th International Workshop on Mobile Computing Systems …, 2017
On Human Behavioral Patterns in Elevator Usages
CJM Liang, J Tang, L Zhang, F Zhao, S Munir, JA Stankovic
BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings), 2013
Boosting mobile CNN inference through semantic memory
Y Li, C Zhang, S Han, LL Zhang, B Yin, Y Liu, M Xu
Proceedings of the 29th ACM International Conference on Multimedia, 2362-2371, 2021
Acenas: Learning to rank ace neural architectures with weak supervision of weight sharing
Y Zhang, C Yan, Q Zhang, LL Zhang, Y Yang, X Gao, Y Yang
ArXiv, abs/2108.03001 2, 2021
Context virtualizer: A cloud service for automated large-scale mobile app testing under real-world conditions
CJM Liang, ND Lane, N Brouwers, L Zhang, B Karlsson, H Liu, Y Liu, ...
Technical report, Microsoft, 2013
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
LL Zhang, Y Homma, Y Wang, M Wu, M Yang, R Zhang, T Cao, W Shen
Proceedings of the 31st ACM International Conference on Information …, 2022
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
H Jiang, LL Zhang, Y Li, Y Wu, S Cao, T Cao, Y Yang, J Li, M Yang, L Qiu
arXiv preprint arXiv:2305.19549, 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
C Tang, LL Zhang, H Jiang, J Xu, T Cao, Q Zhang, Y Yang, Z Wang, ...
arXiv preprint arXiv:2303.09730, 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
LL Zhang, X Wang, J Xu, Q Zhang, Y Wang, Y Yang, N Zheng, T Cao, ...
arXiv preprint arXiv:2303.08308, 2023
LUT-NN: Towards Unified Neural Network Inference by Table Lookup
X Tang, Y Wang, T Cao, LL Zhang, Q Chen, D Cai, Y Liu, M Yang
arXiv preprint arXiv:2302.03213, 2023
On Modular Learning of Distributed Systems for Predicting {End-to-End} Latency
CJM Liang, Z Fang, Y Xie, F Yang, ZL Li, LL Zhang, M Yang, L Zhou
20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023
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