ChangKyoo Yoo 
- (2023): Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer. Dans: Building and Environment, v. 244 (octobre 2023).
- (2023): Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas. Dans: Sustainable Cities and Society, v. 91 (avril 2023).
- (2023): Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach. Dans: Tunnelling and Underground Space Technology, v. 131 (janvier 2023).
- (2022): A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties. Dans: Sustainable Cities and Society, v. 83 (août 2022).
- (2022): Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management. Dans: Building and Environment, v. 207 (janvier 2022).
- (2002): SOx Monitoring and Neural Net Classification in the Power Plant. Dans: Journal of Environmental Engineering (ASCE), v. 128, n. 10 (octobre 2002).
- (2020): Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation. Dans: Sustainable Cities and Society, v. 52 (janvier 2020).
- (2021): Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility – A harmony search strategy. Dans: Building and Environment, v. 190 (mars 2021).
- (2012): Monitoring and prediction of indoor air quality (IAQ) in subway or metro systems using season dependent models. Dans: Energy and Buildings, v. 46 (mars 2012).
- (2013): Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system. Dans: Energy and Buildings, v. 66 (novembre 2013).
- (2013): Sensor fault identification and reconstruction of indoor air quality (IAQ) data using a multivariate non-Gaussian model in underground building space. Dans: Energy and Buildings, v. 66 (novembre 2013).
- (2014): Online monitoring and interpretation of periodic diurnal and seasonal variations of indoor air pollutants in a subway station using parallel factor analysis (PARAFAC). Dans: Energy and Buildings, v. 68 (janvier 2014).
- (2019): A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station. Dans: Energy and Buildings, v. 202 (novembre 2019).
- (2020): Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems. Dans: Building and Environment, v. 182 (septembre 2020).
- (2020): Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions. Dans: Building and Environment, v. 174 (mai 2020).
- (2019): Flexible real-time ventilation design in a subway station accommodating the various outdoor PM10 air quality from climate change variation. Dans: Building and Environment, v. 153 (avril 2019).
- (2018): A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions. Dans: Building and Environment, v. 144 (octobre 2018).
- (2015): Indoor air quality control for improving passenger health in subway platforms using an outdoor air quality dependent ventilation system. Dans: Building and Environment, v. 92 (octobre 2015).
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