SungKu Heo 
- (2025): Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data”. Dans: Building and Environment, v. 267 (janvier 2025).
- (2024): AI-driven ventilation control policy proximal optimization coupled with dynamic-informed real-time model calibration for healthy and sustainable indoor PM2.5 management. Dans: Energy and Buildings, v. 323 (novembre 2024).
- (2024): Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data. Dans: Building and Environment, v. 263 (septembre 2024).
- (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).
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