Li Lyna Zhang

According to our database, Li Lyna Zhang authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang

CoRR, 2024

LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search.

Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan

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.

Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Mao Yang

CoRR, 2023

Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models.

Song Guo, Jiahang Xu, Li Lyna Zhang, Mao Yang

CoRR, 2023

Accurate and Structured Pruning for Efficient Automatic Speech Recognition.

Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu

CoRR, 2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

CoRR, 2023

On Modular Learning of Distributed Systems for Predicting End-to-End Latency.

Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou

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.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.

Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference.

Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang

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.

Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang

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.

Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang

Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance.

Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen

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.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu

GetMobile Mob. Comput. Commun., 2021

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing.

Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang

CoRR, 2021

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

Boosting Mobile CNN Inference through Semantic Memory.

Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu

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.

Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu

Proceedings of Machine Learning and Systems 2021, 2021

2020

Fast Hardware-Aware Neural Architecture Search.

Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework.

Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu

CoRR, 2019

2018

Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis.

Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen

IEEE Trans. Mob. Comput., 2018

2017

Towards A Contextual and Scalable Automated-testing Service for Mobile Apps.

Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017

Systematically testing background services of mobile apps.

Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017