Gang Jiang, and Jianli Chen*. 'Efficient fine-tuning of large language models for automated building energy modeling in complex cases.' Automation in Construction (2025)
Zhihao Ma, Gang Jiang, and Jianli Chen. 'Neural ordinary differential equations-based approach for enhanced building energy modeling on small datasets.' Building Simulation (2025)
Gang Jiang, Zhihao Ma, Liang Zhang, and Jianli Chen*. 'Prompt engineering to inform large language model in automated building energy modeling.' Energy (2025)
Gang Jiang, Zhihao Ma, Liang Zhang, and Jianli Chen*. 'EPlus-LLM: A large language model-based computing platform for automated building energy modeling', Applied Energy (2024)
Zhihao Ma, Gang Jiang, Yuqing Hu, and Jianli Chen*. ' A review of physics-informed machine learning for building energy modeling.' Applied Energy (2024)
Zhihao Ma, Gang Jiang, and Jianli Chen*. 'Physics-informed ensemble learning with residual modeling for
enhanced building energy prediction', Energy and Buildings (2024)
Gang Jiang, Yixing Chen, Zhe Wang, Kody Powell, Blake Billings, and Jianli Chen*. 'A deep learning-based Bayesian framework for high-resolution calibration of building energy models', Energy and Buildings (2024)
Zhihao Ma, Shuang Cui, and Jianli Chen*. 'Demand response through ventilation and latent load adjustment for commercial buildings in humid climate zones.' Applied Energy (2024)
Biao Kuang, Yangming Shi, Yuqing Hu, Zhaoyun Zeng, and Jianli Chen*. 'Household energy resilience in extreme weather events: An investigation of energy service importance, HVAC usage behaviors, and willingness to pay', Applied Energy (2024)
Biao Kuang, Chelsea Schelly, Ge Ou, Mostafa Sahraei-Ardakani, Shardul Tiwari, and Jianli Chen*. 'Data-driven analysis of influential factors on residential energy end-use in the US', Journal of Building Engineering (2023).