Yeonju Ro

According to our database, Yeonju Ro authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention.

Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella

CoRR, June, 2025

How I learned to stop worrying and love learned OS policies.

Divyanshu Saxena, Jiayi Chen, Sujay Yadalam, Yeonju Ro, Rohit Dwivedula, Eric H. Campbell, Aditya Akella, Christopher J. Rossbach, Michael Swift

Proceedings of the 2025 Workshop on Hot Topics in Operating Systems, 2025

2024

Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.

Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping.

Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs.

Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent E. Stephens, Hassan M. G. Wassel, Aditya Akella

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit.

Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella

Proceedings of the International Conference on Machine Learning, 2023

Dataset Efficient Training with Model Ensembling.

Yeonju Ro, Cong Xu, Agnieszka Ciborowska, Suparna Bhattacharya, Frankie Li, Martin Foltin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error.

Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity.

Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro

CoRR, 2021

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization.

Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh

CoRR, 2021

Ghost Routing to Enable Oblivious Computation on Memory-centric Networks.

Yeonju Ro, Seongwook Jin, Jaehyuk Huh, John Kim

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2018

Multi-dimensional Parallel Training of Winograd Layer on Memory-Centric Architecture.

Byungchul Hong, Yeonju Ro, John Kim

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018