Wenlong Liao

Orcid: 0000-0003-1175-0280

According to our database1, Wenlong Liao authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model.
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

Grounding and Enhancing Grid-based Models for Neural Fields.
CoRR, 2024

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.
CoRR, 2024

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving.
CoRR, 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

Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction.
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

A Review of Graph Neural Networks and Their Applications in Power Systems.
CoRR, 2021

2020
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels.
IEEE Trans. Image Process., 2020

Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network.
IEEE Access, 2020

2013
An Open-Source Development and Simulation Platform for Smart Wheelchairs.
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013


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