Yujiang He

According to our database, Yujiang He authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction.

Zhixin Huang, Yujiang He, Bernhard Sick

CoRR, 2024

2023

Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets.

Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

2022

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

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, Yujiang He

Earth Sci. Informatics, 2021

Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts.

Yujiang He

CoRR, 2021

CLeaR: An Adaptive Continual Learning Framework for Regression Tasks.

Yujiang He, Bernhard Sick

CoRR, 2021

Uncertainty and Utility Sampling with Pre-Clustering.

Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Toward Application of Continuous Power Forecasts in a Regional Flexibility Market.

Yujiang He, Zhixin Huang, Bernhard Sick

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks.

Yujiang He, Janosch Henze, Bernhard Sick

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020