Yujiang He

12 papers B 3Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CAFENet: Change-Aware and Fourier Feature Exchange Network for Cropland Change Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Min Duan, Yuanxu Wang, Lu Bai, Yujiang He, Zhichao Zhao, Yurong Qian, Xuanchen Liu
2024	B	`conf`	Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. IJCNN Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick
2024	J	`jnl`	Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. CoRR Zhixin Huang, Yujiang He, Bernhard Sick
2024	—	`conf`	Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. ICPR (27) Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl
2023	—	`conf`	Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. IAL@PKDD/ECML Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick
2022	J	`jnl`	Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. CoRR Yujiang He, Zhixin Huang, Bernhard Sick
2021	J	`jnl`	Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts. CoRR Yujiang He
2021	J	`jnl`	Assessing soil fractal and sorting characteristics based on geostatistics and modeling approaches in a typical basin of North China plain. Earth Sci. Informatics Lei Dai, Guiling Wang, Yujiang He
2021	J	`jnl`	CLeaR: An Adaptive Continual Learning Framework for Regression Tasks. CoRR Yujiang He, Bernhard Sick
2021	B	`conf`	Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. IJCNN Yujiang He, Zhixin Huang, Bernhard Sick
2021	—	`conf`	Uncertainty and Utility Sampling with Pre-Clustering. IAL@PKDD/ECML Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick
2020	B	`conf`	Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. IJCNN Yujiang He, Janosch Henze, Bernhard Sick