75 citations · 144 across the 13 of their papers we have counts for
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cs.LG2023
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning
Wangkun Xu, Jianhong Wang, Fei Teng
Successful machine learning involves a complete pipeline of data, model, and downstream applications. Instead of treating them separately, there has been a prominent increase of at…
cs.LG2023★ 1 cited
Task-Aware Machine Unlearning and Its Application in Load Forecasting
Wangkun Xu, Fei Teng
Data privacy and security have become a non-negligible factor in load forecasting. Previous researches mainly focus on training stage enhancement. However, once the model is traine…
cs.LG2023★ 2 cited
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting
Wangkun Xu, Fei Teng
The forecast of electrical loads is essential for the planning and operation of the power system. Recently, advances in deep learning have enabled more accurate forecasts. However,…