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2020 – today
- 2024
[c7]Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella:
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. EMNLP 2024: 16943-16956- [i4]Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella:
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR abs/2404.03865 (2024) - [i3]Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang:
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR abs/2410.19123 (2024) - 2023
- [c6]Yeonju Ro, Cong Xu, Agnieszka Ciborowska, Suparna Bhattacharya, Frankie Li, Martin Foltin:
Dataset Efficient Training with Model Ensembling. CVPR Workshops 2023: 4700-4704 - [c5]Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella:
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit. ICML 2023: 29130-29142 - [c4]Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent E. Stephens, Hassan M. G. Wassel, Aditya Akella:
RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs. NSDI 2023: 1293-1308 - 2022
- [c3]Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro:
Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. CVPR 2022: 12319-12328 - 2021
- [c2]Yeonju Ro, Seongwook Jin, Jaehyuk Huh, John Kim:
Ghost Routing to Enable Oblivious Computation on Memory-centric Networks. ISCA 2021: 930-943 - [i2]Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh:
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. CoRR abs/2105.01868 (2021) - [i1]Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro:
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. CoRR abs/2105.01869 (2021)
2010 – 2019
- 2018
- [c1]Byungchul Hong, Yeonju Ro, John Kim
:
Multi-dimensional Parallel Training of Winograd Layer on Memory-Centric Architecture. MICRO 2018: 682-695
Coauthor Index
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