2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Improving Slow Transfer Predictions: Generative Methods Compared
Jacob Taegon Kim, Alex Sim, Kesheng Wu +1
Monitoring data transfer performance is a crucial task in scientific computing networks. By predicting performance early in the communication phase, potentially sluggish transfers…
cs.DC2025
Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training
Kewei Wang, Claire Songhyun Lee, Sunwoo Lee +8
Neural networks are rapidly gaining popularity in scientific research, but training the models is often very time-consuming. Particularly when the training data samples are large h…
cs.DB2023★ 2 cited
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Ankita Sharma, Xuanmao Li, Hong Guan +9
Existing approaches to automatic data transformation are insufficient to meet the requirements in many real-world scenarios, such as the building sector. First, there is no conveni…