Bo Liu

Orcid: 0000-0002-8855-5160

Affiliations:
  • Tianjin University, School of Electrical and Information Engineering, Tianjin, China
  • Tianjin University, Key Laboratory of Smart Grid, Tianjin, China (PhD 2019)


According to our database1, Bo Liu authored at least 18 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Label Noise Robust Learning Approach for Non-Intrusive Load Monitoring Based on Meta-Learning.
IEEE Trans. Consumer Electron., February, 2026

2025
Fusing V-I Trajectory and Statistical Features for Improved Non-Intrusive Appliance Identification.
IEEE Trans. Consumer Electron., May, 2025

Multisource Domain Adaptation for Nonintrusive Load Monitoring Through Data Distillation.
IEEE Trans. Instrum. Meas., 2025

Noisy Label Filtering for Nonintrusive Appliance Identification via Negative Learning.
IEEE Trans. Instrum. Meas., 2025

Real-Time Unsupervised Nonintrusive Load Monitoring Based on Graph Signal Processing.
IEEE Trans. Instrum. Meas., 2025

An adaptive appliance identification method leveraging topological data analysis.
Eng. Appl. Artif. Intell., 2025

A Hybrid Supervised Deep Learning Approach for Non-intrusive Load Monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2025

Demand Response Potential Evaluation for Air Conditioning Loads based on NILM and BPINN.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

An Unsupervised NILM approach based on Graph Signal Processing with Feature Fusion.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

2024
Adaptive Multitimescale Event Detection in Nonintrusive Load Monitoring Based on Minimum Description Length Principle.
IEEE Trans. Instrum. Meas., 2024

Automatic Appliance Labeling for Unsupervised NILM Based on Hierarchical Decision-Making.
IEEE Trans. Instrum. Meas., 2024

2023
Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences.
Sensors, 2023

Non-Intrusive Load Identification Method Based on Self-Supervised Regularization.
IEEE Access, 2023

Improved Appliance Transient Feature Extraction Via Template Matching.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
The Balanced Window-Based Load Event Optimal Matching for NILM.
IEEE Trans. Smart Grid, 2022

An Adaptive Two-Stage Load Event Detection Method for Nonintrusive Load Monitoring.
IEEE Trans. Instrum. Meas., 2022

An unsupervised load disaggregation approach based on graph signal processing featuring power sequences.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2019
Estimation of Target Appliance Electricity Consumption Using Background Filtering.
IEEE Trans. Smart Grid, 2019


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