Woo-Yeon Lee

According to our database1, Woo-Yeon Lee authored at least 8 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ORBITFLOW: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration.
Proc. VLDB Endow., January, 2026

2024
Metis: Fast Automatic Distributed Training on Heterogeneous GPUs.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

2023
FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline.
Proc. VLDB Endow., 2023

2022
PokéMem: Taming Wild Memory Consumers in Apache Spark.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020
Lineage Checkpoint Approach for Long-lineage Problem in Apache Spark.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Automating System Configuration of Distributed Machine Learning.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2015
Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics.
Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015


  Loading...