Li Lyna Zhang
Orcid: 0000-0002-4465-1628
According to our database1,
Li Lyna Zhang
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024
2023
Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning.
CoRR, 2023
Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models.
CoRR, 2023
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Towards efficient vision transformer inference: a first study of transformers on mobile devices.
Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices.
GetMobile Mob. Comput. Commun., 2021
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing.
CoRR, 2021
nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices.
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021
2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
2018
IEEE Trans. Mob. Comput., 2018
2017
Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017