Yeonju Ro - RankMe

18 papers A* 7A 1Misc 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Static Cutoffs: One-Shot Dynamic Thresholding for Diffusion Language Models. CoRR Jucheng Shen, Yeonju Ro
2025	A	`conf`	How I learned to stop worrying and love learned OS policies. HotOS Divyanshu Saxena, Jiayi Chen, Sujay Yadalam, Yeonju Ro, Rohit Dwivedula, Eric Hayden Campbell, Aditya Akella, Christopher J. Rossbach, Michael Swift
2025	J	`jnl`	Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration. CoRR Jucheng Shen, Gaurav Sarkar, Yeonju Ro, Sharath Nittur Sridhar, Zhangyang Wang, Aditya Akella, Souvik Kundu
2025	A*	`conf`	On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving. ICML Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
2025	J	`jnl`	On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention. CoRR Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
2025	J	`jnl`	Sherlock: Reliable and Efficient Agentic Workflow Execution. CoRR Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
2024	A*	`conf`	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. EMNLP Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella
2024	J	`jnl`	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella
2024	A*	`conf`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. NeurIPS Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2023	—	`conf`	Dataset Efficient Training with Model Ensembling. CVPR Workshops Yeonju Ro, Cong Xu, Agnieszka Ciborowska, Suparna Bhattacharya, Frankie Li, Martin Foltin
2023	A*	`conf`	Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit. ICML Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella
2023	Misc	`conf`	RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs. NSDI Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent E. Stephens, Hassan M. G. Wassel, Aditya Akella
2022	A*	`conf`	Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. CVPR Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro
2021	A*	`conf`	Ghost Routing to Enable Oblivious Computation on Memory-centric Networks. ISCA Yeonju Ro, Seongwook Jin, Jaehyuk Huh, John Kim
2021	J	`jnl`	Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. CoRR Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh
2021	J	`jnl`	Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. CoRR Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro
2018	A*	`conf`	Multi-dimensional Parallel Training of Winograd Layer on Memory-Centric Architecture. MICRO Byungchul Hong, Yeonju Ro, John Kim