Multi-dimensional Parallel Training of Winograd Layer on Memory-Centric Architecture. - Byungchul Hong; Yeonju Ro; John Kim 001 (MICRO, 2018)

Ghost Routing to Enable Oblivious Computation on Memory-centric Networks. - Yeonju Ro; Seongwook Jin; Jaehyuk Huh 001; John Kim 001 (ISCA, 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)

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)

Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. - Yongkweon Jeon; Chungman Lee; Eulrang Cho; Yeonju Ro (CVPR, 2022)

Dataset Efficient Training with Model Ensembling. - Yeonju Ro; Cong Xu; Agnieszka Ciborowska; Suparna Bhattacharya; Frankie Li; Martin Foltin (CVPR Workshops, 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 (ICML, 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 (NSDI, 2023)

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. - Ajay Jaiswal; Bodun Hu; Lu Yin 006; Yeonju Ro; Tianlong Chen 001; Shiwei Liu 003; Aditya Akella (EMNLP, 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 (NeurIPS, 2024)

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 (HotOS, 2025)

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention. - Yeonju Ro; Zhenyu Zhang 015; Souvik Kundu 009; Zhangyang Wang; Aditya Akella (CoRR, 2025)