Wenlong Liao
Orcid: 0009-0007-0708-8139
According to our database1,
Wenlong Liao
authored at least 35 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Minkowski Distance Based Pilot Protection for Tie Lines Between Offshore Wind Farms and MMC.
IEEE Trans. Ind. Informatics, June, 2024
IEEE Trans. Ind. Informatics, June, 2024
Active-Control-Based Three-Phase Reclosing Scheme for Single Transmission Line With PMSGs.
IEEE Trans. Ind. Electron., May, 2024
Electricity Theft Detection Using Dynamic Graph Construction and Graph Attention Network.
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection.
IEEE Trans. Instrum. Meas., 2024
Control-Based Faulty Phase Detection Methods for Lines With Converter-Interfaced Sources.
IEEE Trans. Ind. Electron., 2024
CoRR, 2024
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.
CoRR, 2024
CoRR, 2024
CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Fault Coordination Control for Converter-Interfaced Sources Compatible With Distance Protection During Asymmetrical Faults.
IEEE Trans. Ind. Electron., July, 2023
Harmonic Injection Based Distance Protection for Line With Converter-Interfaced Sources.
IEEE Trans. Ind. Electron., 2023
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting.
CoRR, 2023
An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network.
CoRR, 2023
Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy.
CoRR, 2023
2022
Improved Euclidean Distance Based Pilot Protection for Lines With Renewable Energy Sources.
IEEE Trans. Ind. Informatics, 2022
WindGMMN: Scenario Forecasting for Wind Power Using Generative Moment Matching Networks.
IEEE Trans. Artif. Intell., 2022
Distilldarts: Network Distillation for Smoothing Gradient Distributions in Differentiable Architecture Search.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
2021
Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach.
CoRR, 2021
Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks.
CoRR, 2021
CoRR, 2021
2020
IEEE Trans. Image Process., 2020
Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network.
IEEE Access, 2020
2013
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013