Yuequan Bao

Yuequan Bao

Harbin Institute of Technology

H-index: 37

Asia-China

About Yuequan Bao

Yuequan Bao, With an exceptional h-index of 37 and a recent h-index of 33 (since 2020), a distinguished researcher at Harbin Institute of Technology, specializes in the field of Structural Health Monitoring, System Identification, Compressive sensing, wireless sensors.

His recent articles reflect a diverse array of research interests and contributions to the field:

Limited-Data-Driven Machine Learning in Structural Health Diagnosis

An active learning method based on deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis

An adaptive structural dominant failure modes searching method based on graph neural network

Featured Cover

Task-aware meta-learning paradigm for universal structural damage segmentation using limited images

Parameter estimation and modeling of nonlinear dynamical systems based on runge–kutta physics-informed neural network

A deep reinforcement learning method for structural dominant failure modes searching based on self-play strategy

Deep learning-based adaptive mode decomposition and instantaneous frequency estimation for vibration signal

Yuequan Bao Information

University

Position

School of Civil Engineering

Citations(all)

4308

Citations(since 2020)

3604

Cited By

1593

hIndex(all)

37

hIndex(since 2020)

33

i10Index(all)

52

i10Index(since 2020)

50

Email

University Profile Page

Harbin Institute of Technology

Google Scholar

View Google Scholar Profile

Yuequan Bao Skills & Research Interests

Structural Health Monitoring

System Identification

Compressive sensing

wireless sensors

Top articles of Yuequan Bao

Title

Journal

Author(s)

Publication Date

Limited-Data-Driven Machine Learning in Structural Health Diagnosis

Yang Xu

Yuequan Bao

Hui Li

2024

An active learning method based on deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis

Reliability Engineering & System Safety

Yuequan Bao

Huabin Sun

Xiaoshu Guan

Yuxuan Tian

2024/4/16

An adaptive structural dominant failure modes searching method based on graph neural network

Reliability Engineering & System Safety

Yuxuan Tian

Xiaoshu Guan

Huabin Sun

Yuequan Bao

2024/3/1

Featured Cover

Chirality

Gerardo Salinas

Serena Arnaboldi

Giorgia Bonetti

Roberto Cirilli

Tiziana Benincori

...

2021/12/1

Task-aware meta-learning paradigm for universal structural damage segmentation using limited images

Engineering Structures

Yang Xu

Yunlei Fan

Yuequan Bao

Hui Li

2023

Parameter estimation and modeling of nonlinear dynamical systems based on runge–kutta physics-informed neural network

Nonlinear Dynamics

Weida Zhai

Dongwang Tao

Yuequan Bao

2023/11

A deep reinforcement learning method for structural dominant failure modes searching based on self-play strategy

Reliability Engineering & System Safety

Xiaoshu Guan

Huabin Sun

Rongrong Hou

Yang Xu

Yuequan Bao

...

2023/5/1

Deep learning-based adaptive mode decomposition and instantaneous frequency estimation for vibration signal

Mechanical Systems and Signal Processing

Yibing Guo

Yuequan Bao

Hui Li

Yufeng Zhang

2023/9/15

Special issue of the 2nd International Competition of Structural Health Monitoring (IC-SHM 2021)

Smart Structures and Systems

Yasutaka Narazaki

Vedhus Hoskere

Yuequan Bao

Hui Li

Billie F Spencer

2023/4

Transfer learning-based data anomaly detection for structural health monitoring

Structural Health Monitoring

Qiuyue Pan

Yuequan Bao

Hui Li

2023/9

Task-Significance-Aware Meta Learning for Few-Image-Based Structural Damage Recognition

STRUCTURAL HEALTH MONITORING 2023

YANG XU

YI LI

YUNFEI FAN

XIAODONG ZHENG

YUEQUAN BAO

2023

Normalising flow-based vehicle load modeling for bridges

Structure and Infrastructure Engineering

Huabin Sun

Xiaoshu Guan

Yuequan Bao

Yang Xu

Hui Li

2023/7/17

Machine learning-based stochastic subspace identification method for structural modal parameters

Engineering Structures

Dawei Liu

Yuequan Bao

Hui Li

2023/1/1

An improved ultrasonic computerized tomography (UCT) technique for damage localization based on compressive sampling (CS) theory

Structural control and health monitoring

Wentao Wang

Hui Li

Chonghe Wang

Wensong Zhou

Yuequan Bao

2022/6

Structural dominant failure modes searching method based on deep reinforcement learning

Reliability Engineering & System Safety

Xiaoshu Guan

Zhengliang Xiang

Yuequan Bao

Hui Li

2022/3/1

A modified U-net for crack segmentation by Self-Attention-Self-Adaption neuron and random elastic deformation

Smart Structures and Systems

Jin Zhao

Fangqiao Hu

Weidong Qiao

Weida Zhai

Yang Xu

...

2022

Adaptive subset searching-based deep neural network method for structural reliability analysis

Reliability Engineering & System Safety

Yuequan Bao

Zhengliang Xiang

Hui Li

2021/9/1

Pixel-level damage detection for concrete spalling and rebar corrosion based on U-net semantic segmentation

Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. CRC Press

Yang Xu

Weidong Qiao

Yuequan Bao

Hui Li

Yufeng Zhang

2021

The 1st international project competition for structural health monitoring (IPC-SHM, 2020): A summary and benchmark problem

Structural Health Monitoring

Yuequan Bao

Jian Li

Tomonori Nagayama

Yang Xu

Billie F Spencer Jr

...

2021/7

Machine learning paradigm for structural health monitoring

Structural health monitoring

Yuequan Bao

Hui Li

2021/7

See List of Professors in Yuequan Bao University(Harbin Institute of Technology)