Zhu Mao 
- (2021): Spatiotemporal Deep Learning for Bridge Response Forecasting. Dans: Journal of Structural Engineering (ASCE), v. 147, n. 6 (juin 2021).
- (2021): Deep wavelet sequence-based gated recurrent units for the prognosis of rotating machinery. Dans: Structural Health Monitoring, v. 20, n. 4 (avril 2021).
- (2013): Damage assessment with state–space embedding strategy and singular value decomposition under stochastic excitation. Dans: Structural Health Monitoring, v. 13, n. 2 (décembre 2013).
- (2016): A Bayesian recursive framework for ball-bearing damage classification in rotating machinery. Dans: Structural Health Monitoring, v. 15, n. 6 (août 2016).
- (2020): Dynamic Characteristics Identification of an Arch Dam Model via the Phase-Based Video Processing. Dans: KSCE Journal of Civil Engineering, v. 25, n. 1 (octobre 2020).
- (2020): Research on work efficiency and light comfort based on EEG evaluation method. Dans: Building and Environment, v. 183 (octobre 2020).
- (2020): People's subjective and physiological responses to the combined thermal-acoustic environments. Dans: Building and Environment, v. 172 (avril 2020).
- (2017): Structural damage diagnosis with uncertainties quantified using interval analysis. Dans: Structural Control and Health Monitoring, v. 24, n. 10 (octobre 2017).
- (2014): Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel. Dans: Engineering Structures, v. 75 (septembre 2014).
- (2016): Damage detection using transient trajectories in phase-space with extended random decrement technique under non-stationary excitations. Dans: Smart Materials and Structures, v. 25, n. 11 (novembre 2016).
- (2014): Localization of nonlinear damage using state-space-based predictions under stochastic excitation. Dans: Smart Materials and Structures, v. 23, n. 2 (février 2014).
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