👋🏼 Hi there, I’m Gang, a PhD candidate at The University of Utah!

🖇 Open-Source Contributions

EPlus-LLMv1/v2
LLM-driven automatic building energy modeling through natural language.

Prompting LLMs for ABEM
A comprehensive guideline for prompt engineering of LLMs in automated building energy modeling.

🔬 Experience

🚀 Currently, I am collaborating with Dr. Shandian Zhe from the School of Computing at the University of Utah on NSF projects focused on improving LLMs' accuracy, computational efficiency, and robustness.

🧪 As part of my PhD journey, I am working with Dr. Jianli Chen on NSF-funded projects focused on Building Energy Modeling, Calibration, Optimization, and AI Applications in Buildings.

🧫 During my Master’s degree at Tianjin University, I collaborated with Dr. Zhe Tian on NSF-China projects related to Building Energy System Simulation and Building Fault Detection and Diagnosis.

✍️ I completed internships at Amazon AWS, where I gained experience in designing and operating data centers with a focus on resilience and scalability, and at SUNAC, where I worked in real estate management.

🎉 News

🚀 My first-authored research paper, Prompt Engineering to Inform Large Language Models in Automated Building Energy Modeling , Energy, 2025, has been recognized as a 🏆 Top 1% Highly Cited Paper by ESI.

🚀 My first-authored research paper, EPlus-LLM: A Large Language Model-Based Computing Platform for Automated Building Energy Modeling , Applied Energy, 2024, has also been selected as a 🏆 Top 1% Highly Cited Paper and a 🔥 Top 0.1% Hot Cited Paper by ESI.

📄 Dec. 2025 – First-authored paper, Benchmarking Knowledge and Capability of Large Language Models in Building Science Domain , has been published in Energy Use.

📢 Jun. 2025 – I will be attending the ASHRAE Annual Conference in Phoenix, Arizona. I am happy to engage in discussions and make connections!

📄 Apr. 2025 – The paper related to the EPlus-LLMv2 platform has been accepted for publication in Automation in Construction.

📄 Jan. 2025 – Our review paper, A Review of Physics-Informed Machine Learning for Building Energy Modeling , has been published in Applied Energy.

📄 Jan. 2025 – My first-authored paper, Prompt Engineering to Inform Large Language Models in Automated Building Energy Modeling , has been published in Energy.

📄 Jun. 2024 – My first-authored paper, A Deep Learning-Based Bayesian Framework for High-Resolution Calibration of Building Energy Models , has been published in Energy & Buildings.

📄 May. 2024 – My first-authored paper, EPlus-LLM: A Large Language Model-Based Computing Platform for Automated Building Energy Modeling , has been published in Applied Energy.

🗣️ Talks

🎤 Feb. 2026 – I’m excited to attend the ASHRAE Winter Conference in Las Vegas, NV! Looking forward to connecting with you there! 🌆
I’ll be giving two presentations:
(1) Large language models for automated building energy modeling (Invited Talk)
(2) Real-world applications of the EPlus-LLM Platform (Paper Session, Poster)

🎤 Oct. 2025 – Online talk on BuildNext: Toward Automated Building Energy Modeling with Large Language Models [Slides]

🎤 Aug. 2025 – I was invited to give a talk at ASHRAE CIDCO Conference in Denver, CO! Topic: Automating Building Energy Modeling from Natural Language

🎤 Jun. 2024 – I will be speaking about Natural Language Auto-Modeling via Fine-tuning LLMs at the ASHRAE Annual Conference in Indianapolis, Indiana.