| Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach Y Yang, Y Yuan, Z Han, G Liu Indoor air 32 (2), e12984, 2022 | 58 | 2022 |
| A performance-based urban block generative design using deep reinforcement learning and computer vision Z Han, W Yan, G Liu Proceedings of the 2020 DigitalFUTURES: The 2nd International Conference on …, 2021 | 21 | 2021 |
| An interactive multi-criteria decision-making method for building performance design Z Han, X Li, J Sun, M Wang, G Liu Energy and Buildings 282, 112793, 2023 | 19 | 2023 |
| A predictive model for daylight performance based on multimodal generative adversarial networks at the early design stage X Li, Y Yuan, G Liu, Z Han, R Stouffs Energy and Buildings 305, 113876, 2024 | 14 | 2024 |
| Venis: A designer-centric support tool for building performance design at early design stages X Li, Z Han, J Sun, G Liu Journal of Building Engineering 63, 105429, 2023 | 10 | 2023 |
| MOPSO for BIM: a multi-objective optimization tool using particle swarm optimization algorithm on a BIMbased visual programming platform Z Han, C Ning, Y Wei Hello, Culture, 39-51, 2019 | 7 | 2019 |
| Multi-atrium configuration design for energy efficiency in shopping malls: an ANN-based metamodel for sensitivity analysis and design optimization Y Yuan, Z Han, R Dang, G Liu Architectural Science Review 65 (4), 247-259, 2022 | 5 | 2022 |
| Embedding sensitivity analysis into PSO for building energy optimization D Hou, W Yan, G Liu, Z Han Building Simulation 2019 16, 2918-2924, 2019 | 2 | 2019 |
| A rapid approach to urban traffic noise mapping with a generative adversarial network X Yang, Z Han, X Lu, Y Zhang Applied Acoustics 228, 110268, 2025 | 1 | 2025 |
| Investigation of passenger thermal satisfaction across multi-space transitions in high-speed railway stations: A case study in cold regions of China Y Yuan, Y Li, G Liu, Z Han Building and Environment 265, 112030, 2024 | 1 | 2024 |
| A RAPID PREDICTION MODEL FOR VIEW-BASED GLARE PERFORMANCE WITH MULTIMODAL GENERATIVE ADVERSARIAL NETWORKS X LI, Z HAN, G LIU, R STOUFFS | 1 | 2024 |
| A Conditional Generative Adversarial Networks (CGAN) model for indoor wind field images prediction Y Wu, Z Gao, X Li, Z Han, X Liu, L Gang Building Simulation 2023, 1133-1140, 2023 | 1 | 2023 |
| A rapid indoor 3D wind field prediction model based on Conditional Generative Adversarial Networks Y Wu, X Li, X Zheng, C Lei, Y Yuan, Z Han, G Liu Journal of Building Engineering, 111756, 2025 | | 2025 |
| Hybrid model-based predictive HVAC control through fast prediction of transient indoor temperature fields G Liu, J Gao, Z Han, Y Yuan Building and Environment 267, 112253, 2025 | | 2025 |
| Local urban weather data generation based on atmospheric reanalysis data to support building energy design in Singapore G Feng, X Zheng, N Meili, S Li, M Mosteiro-Romero, Z Han, L Xu, D Chi, ... The 5th Asia Conference of International Building Performance Simulation …, 2024 | | 2024 |
| GRAPH2PIX Z HAN, X LI, YE YUAN, R STOUFFS | | 2024 |
| A User-centered Interactive Optimization Approach based on Immersive Virtual Reality G Lei, Chenxi, Kang, Yuzhuo, Han, Zhen, Li, Xiaoqian, Liu, Chiming, Liu ... Building Simulation 2023, 458-465, 2023 | | 2023 |
| A multimodal Generative Adversarial Nets model for the prediction of matrix-based building performance X Li, Z Han, L Gang Building Simulation 2023, 1802-1809, 2023 | | 2023 |
| A User-centered Interactive Optimization Approach based on Immersive Virtual Reality C Lei, Y Kang, Z Han, X Li, C Liu, X Liu, G Liu | | |
| Rethinking Building Energy Use from the Occupant Aspect S Li, X Zheng, X Wang, Z Han, H Liu, R Stouffs | | |
Rudi StouffsNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
