3 citations · 3 across the 12 of their papers we have counts for
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cs.LG2025
PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
Hanwen Hu, Zimo Wen, Shiyou Qian +1
Traffic time series imputation is crucial for the safety and reliability of intelligent transportation systems, while diverse types of missing data, including random, fiber, and bl…
cs.LG2025
EDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training
Qingao Yi, Jiaang Duan, Jun Zhang +11
Training large language models (LLMs) at scale incurs substantial communication overhead, while static gradient compression cannot adapt to gradient evolution and may degrade model…
cs.LG2024★ 3 cited
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu, Hengyu You, Jian Cao +3
Building effective machine learning (ML) workflows to address complex tasks is a primary focus of the Automatic ML (AutoML) community and a critical step toward achieving artificia…