Hui Li

Orcid: 0000-0001-9198-3951

Affiliations:
  • Harbin Institute of Technology, School of Civil Engineering, China (PhD 1994)


According to our database1, Hui Li authored at least 26 papers between 2005 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians with Video Diffusion Priors.
CoRR, 2024

Few-shot learning for structural health diagnosis of civil infrastructure.
Adv. Eng. Informatics, 2024

2023
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression.
Technometrics, July, 2023

A deep reinforcement learning method for structural dominant failure modes searching based on self-play strategy.
Reliab. Eng. Syst. Saf., May, 2023

Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs).
CoRR, 2023

A topology description function-enhanced neural network for topology optimization.
Comput. Aided Civ. Infrastructure Eng., 2023

2022
Structural dominant failure modes searching method based on deep reinforcement learning.
Reliab. Eng. Syst. Saf., 2022

Structure-PoseNet for identification of dense dynamic displacement and three-dimensional poses of structures using a monocular camera.
Comput. Aided Civ. Infrastructure Eng., 2022

A self-sparse generative adversarial network for autonomous early-stage design of architectural sketches.
Comput. Aided Civ. Infrastructure Eng., 2022

2021
Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion.
Reliab. Eng. Syst. Saf., 2021

Adaptive subset searching-based deep neural network method for structural reliability analysis.
Reliab. Eng. Syst. Saf., 2021

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations.
J. Comput. Phys., 2021

Self Sparse Generative Adversarial Networks.
CoRR, 2021

2020
Structural Crack Detection Using DPP-BOTDA and Crack-Induced Features of the Brillouin Gain Spectrum.
Sensors, 2020

Design and Validation of Android Smartphone Based Wireless Structural Vibration Monitoring System.
Sensors, 2020

Deep reinforcement learning-based sampling method for structural reliability assessment.
Reliab. Eng. Syst. Saf., 2020

Machine-learning-based methods for output only structural modal identification.
CoRR, 2020

2019
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach.
CoRR, 2019

Multitask Sparse Bayesian Learning with Applications in Structural Health Monitoring.
Comput. Aided Civ. Infrastructure Eng., 2019

2014
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring.
Comput. Aided Civ. Infrastructure Eng., 2014

2012
Monitoring and Failure Analysis of Corroded Bridge Cables under Fatigue Loading Using Acoustic Emission Sensors.
Sensors, 2012

2011
Fractal Dimension-Based Damage Detection Method for Beams with a Uniform Cross-Section.
Comput. Aided Civ. Infrastructure Eng., 2011

2010
Condition Assessment Of A Cable-Stayed Bridge Using The Dynamic Analysis Based On A Statistic Categorization Strategy.
Intell. Autom. Soft Comput., 2010

Fatigue Damage Evolution Of Steel Bridges Based On Multi-Scale Finite Element Modeling.
Intell. Autom. Soft Comput., 2010

2006
Structural Health Monitoring System for the Shandong Binzhou Yellow River Highway Bridge.
Comput. Aided Civ. Infrastructure Eng., 2006

2005
Field Tests of Vibration Control of Stay Cables by Using Magnetorheological Fluid Dampers.
Proceedings of the Intelligent Control, 2005


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