He-Qing Mu 
- (2024): Probability density function modelling and credible region construction for multivariate, asymmetric, and multimodal distributions of geotechnical data. In: Structural Safety, v. 107 (März 2024).
- (2023): Bayesian Vehicle Load Estimation, Vehicle Position Tracking, and Structural Identification for Bridges with Strain Measurement. In: Structural Control and Health Monitoring, v. 2023 (Februar 2023).
- (2022): A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information. In: Engineering Structures, v. 252 (Februar 2022).
- (2020): Bayesian Learning–Based Data Analysis of Uniaxial Compressive Strength of Rock: Relevance Feature Selection and Prediction Reliability Assessment. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 6, n. 1 (März 2020).
- (2016): Ground Motion Prediction Equation Development by Heterogeneous Bayesian Learning. In: Computer-Aided Civil and Infrastructure Engineering, v. 31, n. 10 (September 2016).
- (2015): Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification. In: Computer-Aided Civil and Infrastructure Engineering, v. 30, n. 10 (Juni 2015).
- (2011): Peak Ground Acceleration Estimation by Linear and Nonlinear Models with Reduced Order Monte Carlo Simulation. In: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 1 ( 2011).
- (2015): Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification. In: Journal of Engineering Mechanics (ASCE), v. 141, n. 1 (Januar 2015).
- (2018): Uncertainty Quantification of Load Effects under Stochastic Traffic Flows. In: International Journal of Structural Stability and Dynamics, v. 19, n. 1 (Dezember 2018).
- (2014): Seismic attenuation relationship with homogeneous and heterogeneous prediction-error variance models. In: Earthquake Engineering and Engineering Vibration, v. 13, n. 1 (März 2014).
- (2017): Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition. In: Journal of Computing in Civil Engineering, v. 31, n. 5 (September 2017).
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