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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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)
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Yae Jee Cho
Aldi Fahrezi
Gauri Joshi
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) (2024)
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)
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)
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)
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)
Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading
Wuyang Zhang
Zhezhi He
Zhenhua Jia
Yunxin Liu
Marco Gruteser
Dipankar Raychaudhuri
Yanyong Zhang
The 27th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2021). (2021)
