Licheng Zhou 
- : Data-driven time-variant reliability assessment of bridge girders based on deep learning. In: Mechanics of Advanced Materials and Structures.
- (2024): Unsupervised structural damage assessment method based on response correlations. In: Engineering Structures, v. 302 (März 2024).
- (2023): Temperature-induced response reconstruction for the dynamic reliability assessment of bridge girders. In: Structures, v. 58 (Dezember 2023).
- (2023): Unsupervised anomaly detection for long-span bridges combining response forecasting by deep learning with Td-MPCA. In: Structures, v. 54 (August 2023).
- (2023): Reconstruction of long-term strain data for structural health monitoring with a hybrid deep-learning and autoregressive model considering thermal effects. In: Engineering Structures, v. 285 (Juni 2023).
- (2023): Reconstruction of structural long-term acceleration response based on BiLSTM networks. In: Engineering Structures, v. 285 (Juni 2023).
- (2023): Temperature-induced response reconstruction method based on DL-AR model and attention mechanism. In: Structures, v. 50 (April 2023).
- (2022): Reliability analysis of bridge girders based on regular vine Gaussian copula model and monitored data. In: Structures, v. 39 (Mai 2022).
- (2022): High fidelity 3D mesoscale modeling of concrete with ultrahigh volume fraction of irregular shaped aggregate. In: Composite Structures, v. 291 (Juli 2022).
- (2021): Mesoscale modeling of epoxy polymer concrete under tension or bending. In: Composite Structures, v. 256 (Januar 2021).
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