46 citations · 95 across the 6 of their papers we have counts for
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cs.LG2023★ 15 cited
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang, Haomin Wen +4
Spatio-Temporal Graph (STG) forecasting is a fundamental task in many real-world applications. Spatio-Temporal Graph Neural Networks have emerged as the most popular method for STG…
cs.LG2022★ 26 cited
Deep Active Learning for Computer Vision: Past and Future
Rinyoichi Takezoe, Xu Liu, Shunan Mao +4
As an important data selection schema, active learning emerges as the essential component when iterating an Artificial Intelligence (AI) model. It becomes even more critical given…
cs.LG2020★ 46 cited
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu, Yuan Li, Xu Liu +3
This paper presents and characterizes an Open Application Repository for Federated Learning (OARF), a benchmark suite for federated machine learning systems. Previously available b…