Luyang Liu
Luyang Liu is a Research Scientist at Google DeepMind working on foundation models, representation learning, and federated learning.
More info can be found at my Google Scholar page.
Authored Publications
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USER-LLM: Efficient LLM Contextualization with User Embedding
Jiaxing Wu
Neo Wu
Devora Berlowitz
Sushant Prakash
Bradley Green
Shawn O'Banion
Jun Xie
ArXiv (2024) (to appear)
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Yae Jee Cho
Zheng Xu
Aldi Fahrezi
Gauri Joshi
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) (2024)
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Warren Morningstar
Alex Bijamov
Chris Duvarney
Luke Friedman
Neha Kalibhat
Philip Mansfield
Renan Rojas-Gomez
Karan Singhal
Bradley Green
Sushant Prakash
Arxiv (2024) (to appear)
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam
Ming Yan
Mi Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) (2022)
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Zhuohang Li
Jiaxin Zhang
Jian Liu
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2022) (2022)
Smartphone-based Hard Braking Events Detection at Scale for Road Safety Services
David Racz
Julie Michelman
Stefan Mellem
Paul C. Eastham
Bradley Green
Charles Robert Armstrong
Shawn O'Banion
Feng Guo
Transportation Research Part C: Emerging Technologies (2022)
Privacy-first Health Research with Federated Learning
Adam Sadilek
Dung Nguyen
Methun Kamruzzaman
Benjamin Rader
Stefan Mellem
Elaine O. Nsoesie
Jamie MacFarlane
Anil Vullikanti
Madhav Marathe
Paul C. Eastham
John S. Brownstein
npj Digital Medicine (2021)
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state
Matthew Abueg
Robert Hinch
Neo Wu
William Probert
Austin Wu
Paul Eastham
Yusef Shafi
Matt Rosencrantz
Zhao Cheng
Anel Nurtay
Lucie Abeler-Dörner
David Bonsall
Michael V. McConnell
Shawn O'Banion
Christophe Fraser
npj Digital Medicine (2021)
EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets
Marco Gruteser
The 40th IEEE International Conference on Computer Communications (IEEE INFOCOM 2021). (2021)
