Bin Liu

Orcid: 0000-0002-8278-1589

Affiliations:
  • Shenyang University of Technology, School of Information Science and Engineering, China (PhD 2013)


According to our database1, Bin Liu authored at least 13 papers between 2020 and 2023.

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Timeline

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Bibliography

2023
The Signal Characteristics of Oil and Gas Pipeline Leakage Detection Based on Magneto-Mechanical Effects.
Sensors, February, 2023

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition.
CoRR, 2023

Explainable Multimodal Emotion Reasoning.
CoRR, 2023

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning.
CoRR, 2023

DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning.
CoRR, 2023

2022
ARNet: Automatic Refinement Network for Noisy Partial Label Learning.
CoRR, 2022

Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis.
CoRR, 2022

Emotional Reaction Analysis based on Multi-Label Graph Convolutional Networks and Dynamic Facial Expression Recognition Transformer.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

2021
Investigating the Characteristic of Weak Magnetic Stress Internal Detection Signals of Long-Distance Oil and Gas Pipeline Under Demagnetization Effect.
IEEE Trans. Instrum. Meas., 2021

Quantitative Study of MMM Signal Features for Internal Weld Crack Detection in Long-Distance Oil and Gas Pipelines.
IEEE Trans. Instrum. Meas., 2021

Quantitative Study on MFL Signal of Pipeline Composite Defect Based on Improved Magnetic Charge Model.
Sensors, 2021

2020
Study on Internal Detection in Oil-Gas Pipelines Based on Complex Stress Magnetomechanical Modeling.
IEEE Trans. Instrum. Meas., 2020

Research on Features of Pipeline Crack Signal Based on Weak Magnetic Method.
Sensors, 2020


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