Andrew Gu

According to our database, Andrew Gu authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.

Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, Zeliang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.

Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Chengze Fan, Dong Liang, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qianru Li, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Sihan Zeng, Siyang Yuan, Tongyi Tang, Weilin Zhang, Wenjun Wang, Xi Liu, Xiaohan Wei, Xiaozhen Xia, Yuchen Hao, Yunlong He, Yasmine Badr, Zeliang Chen, Maxim Naumov, Yantao Yao, Wenlin Chen, Santanu Kolay, GP Musumeci, Ellie Dingqiao Wen

CoRR, December, 2025

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection.

DiJia Su, Andrew Gu, Jane Xu, Yuandong Tian, Jiawei Zhao

CoRR, April, 2025

Scaling Llama 3 Training with Efficient Parallelism Strategies.

Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining.

Wanchao Liang, Tianyu Liu, Less Wright, Will Constable, Andrew Gu, Chien-Chin Huang, Iris Zhang, Wei Feng, Howard Huang, Junjie Wang, Sanket Purandare, Gokul Nadathur, Stratos Idreos

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile.

Ruisi Zhang, Tianyu Liu, Will Feng, Andrew Gu, Sanket Purandare, Wanchao Liang, Francisco Massa

CoRR, 2024

TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training.

Wanchao Liang, Tianyu Liu, Less Wright, Will Constable, Andrew Gu, Chien-Chin Huang, Iris Zhang, Wei Feng, Howard Huang, Junjie Wang, Sanket Purandare, Gokul Nadathur, Stratos Idreos

CoRR, 2024

2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li

Proc. VLDB Endow., 2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li

CoRR, 2023

2021

Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records.

Ye Ye, Andrew Gu

CoRR, 2021