Xi Fang 
- (2024): Closure to “Experimental and a dual-scale analysis of the influence of coating on humidity control ability of hygroscopic materials with different porosity”. In: Construction and Building Materials, v. 442 (September 2024).
- (2024): A hybrid transfer learning to continual learning strategy for improving cross-building energy prediction in data increment scenario. In: Journal of Building Engineering, v. 95 (Oktober 2024).
- (2024): Experimental and a dual-scale analysis of the influence of coating on humidity control ability of hygroscopic materials with different porosity. In: Construction and Building Materials, v. 426 (Mai 2024).
- (2024): Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation. In: Journal of Building Engineering, v. 91 (August 2024).
- (2023): Investigation on indoor airflow and contaminant dispersion of diffuse ceiling ventilation in heating and cooling modes. In: Journal of Building Engineering, v. 80 (Dezember 2023).
- (2024): An improved transfer learning strategy for short_term cross-building energy prediction using data incremental. In: Building Simulation, v. 17, n. 1 (Januar 2024).
- (2023): Interpretation and explanation of convolutional neural network-based fault diagnosis model at the feature-level for building energy systems. In: Energy and Buildings, v. 295 (September 2023).
- (2023): Thermodynamic performance analysis of a novel air conditioning system integrating solar absorption compression refrigeration and vacuum membrane-based dehumidification (SACV). In: Energy and Buildings, v. 288 (Juni 2023).
- (2023): Transferability investigation of a Sim2Real deep transfer learning framework for cross-building energy prediction. In: Energy and Buildings, v. 287 (Mai 2023).
- (2022): Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies. In: Energy and Buildings, v. 275 (November 2022).
- (2022): A spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction. In: Energy and Buildings, v. 271 (September 2022).
- (2021): A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction. In: Energy and Buildings, v. 252 (Dezember 2021).
- (2021): Assessment of long short-term memory and its modifications for enhanced short-term building energy predictions. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Investigation of physiological and subjective responses under composite air carrying energy radiant air-conditioning system. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems. In: Building and Environment, v. 203 (Oktober 2021).
- (2021): An improved stacking ensemble learning-based sensor fault detection method for building energy systems using fault-discrimination information. In: Journal of Building Engineering, v. 43 (November 2021).
- (2020): Design, Fabrication and Modeling Analysis of a Spiral Support Structure with Superelastic Ni-Ti Shape Memory Alloy for Continuum Robot. In: Smart Materials and Structures, v. 29, n. 4 (Februar 2020).
- (2020): A soft gripper with programmable effective length, tactile and curvature sensory feedback. In: Smart Materials and Structures, v. 29, n. 3 (27 Januar 2020).
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