Bin Liu

According to our database, Bin Liu authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Bin Liu, Qian Ge, Zihan Wu, Zheng Lian, Lijian Yang, Hao Geng

Sensors, February, 2023

Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure.

Bin Liu, Yanduo Fu, Luyao He, Hao Geng, Lijian Yang

Sensors, February, 2023

Explainable Multimodal Emotion Reasoning.

Zheng Lian, Licai Sun, Mingyu Xu, Haiyang Sun, Ke Xu, Zhuofan Wen, Shun Chen, Bin Liu, Jianhua Tao

CoRR, 2023

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

Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao

CoRR, 2023

DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning.

Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao

CoRR, 2023

2022

ARNet: Automatic Refinement Network for Noisy Partial Label Learning.

Zheng Lian, Mingyu Xu, Lan Chen, Licai Sun, Bin Liu, Jianhua Tao

CoRR, 2022

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

Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao

CoRR, 2022

Emotional Reaction Analysis based on Multi-Label Graph Convolutional Networks and Dynamic Facial Expression Recognition Transformer.

Kexin Wang, Zheng Lian, Licai Sun, Bin Liu, Jianhua Tao, Yin Fan

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.

Bin Liu, He Zhang, Baoping Zhang, Zheng Lian, Lijian Yang, Tong Liu

IEEE Trans. Instrum. Meas., 2021

Quantitative Study of MMM Signal Features for Internal Weld Crack Detection in Long-Distance Oil and Gas Pipelines.

Bin Liu, Gang Feng, Luyao He, Ning Luo, Jian Ren, Lijian Yang

IEEE Trans. Instrum. Meas., 2021

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

Bin Liu, Ning Luo, Gang Feng

Sensors, 2021

2020

Study on Internal Detection in Oil-Gas Pipelines Based on Complex Stress Magnetomechanical Modeling.

Bin Liu, Simeng Zheng, Luyao He, He Zhang, Jian Ren

IEEE Trans. Instrum. Meas., 2020

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

Bin Liu, Ziqi Liu, Ning Luo, Luyao He, Jian Ren, He Zhang

Sensors, 2020

2017

The Method of Pipeline Geometry Deformation Detection Identification Based on Laser Imaging.

Li-jian Yang, Meng-jun Xu, Song-wei Gao, Bin Liu, Hao Geng

Proceedings of the 2nd International Conference on Cybernetics, Robotics and Control, 2017