Li Lyna Zhang
Senior Researcher
News & features
Abstracts: July 29, 2024
| Gretchen Huizinga and Li Lyna Zhang
A lack of appropriate data, decreased model performance, and other obstacles have made it difficult to expand the input language models can receive. Li Lyna Zhang introduces LongRoPE, a method capable of extending content windows to more than 2 million…
Research Focus: Week of March 18, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown impressive capabilities, yet they still struggle with…
Efficient and hardware-friendly neural architecture search with SpaceEvo
| Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yuqing Yang, Ting Cao, and Mao Yang
A persistent challenge in deep learning is optimizing neural network models for diverse hardware configurations, balancing performance and low latency. Learn how SpaceEvo automates hardware-aware neural architecture search to fine-tune DNN models for swift execution on diverse devices.
Awards | The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2021) | June 2021
Li Lyna Zhang, Ting Cao, and Yuqing Yang Mobisys 2021 Best Paper Award
Li Lyna Zhang, Ting Cao, and Yuqing Yang Mobisys 2021 Best Paper Award nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices.