Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. - Yujiang He; Janosch Henze; Bernhard Sick (IJCNN, 2020)

Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. - Yujiang He; Zhixin Huang; Bernhard Sick (IJCNN, 2021)

Uncertainty and Utility Sampling with Pre-Clustering. - Zhixin Huang; Yujiang He; Stephan Vogt; Bernhard Sick (IAL@PKDD/ECML, 2021)

CLeaR: An Adaptive Continual Learning Framework for Regression Tasks. - Yujiang He; Bernhard Sick (CoRR, 2021)

Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts. - Yujiang He (CoRR, 2021)

Assessing soil fractal and sorting characteristics based on geostatistics and modeling approaches in a typical basin of North China plain. - Lei Dai; Guiling Wang 003; Yujiang He (Earth Sci. Informatics, 2021)

Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. - Yujiang He; Zhixin Huang; Bernhard Sick (CoRR, 2022)

Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. - Zhixin Huang; Yujiang He; Marek Herde; Denis Huseljic; Bernhard Sick (IAL@PKDD/ECML, 2023)

Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. - Zhixin Huang; Yujiang He; Chandana Priya Nivarthi; Bernhard Sick; Christian Gruhl (ICPR (27), 2024)

Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. - Zhixin Huang; Yujiang He; Chandana Priya Nivarthi; Christian Gruhl; Bernhard Sick (IJCNN, 2024)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. - Zhixin Huang; Yujiang He; Bernhard Sick (CoRR, 2024)