A hybrid data-fusion system using modal data and probabilistic neural network for damage detection. - Shao-Fei Jiang; Chun Fu; Chunming Zhang (Adv. Eng. Softw., 2011)

A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection. - Shao-Fei Jiang; Chun Fu; Chunming Zhang; Zhao-Qi Wu (Int. J. Distributed Sens. Networks, 2013)

The ASHRAE Great Energy Predictor III competition: Overview and results. - Clayton Miller; Pandarasamy Arjunan; Anjukan Kathirgamanathan; Chun Fu; Jonathan Roth; June Young Park; Chris Balbach; Krishnan Gowri; Zoltán Nagy 002; Anthony Fontanini; Jeff Haberl (CoRR, 2020)

Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. - Clayton Miller; Bianca Picchetti; Chun Fu; Jovan Pantelic (CoRR, 2021)

Using Google Trends as a proxy for occupant behavior to predict building energy consumption. - Chun Fu; Clayton Miller (CoRR, 2021)

Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. - Chun Fu; Pandarasamy Arjunan; Clayton Miller (BuildSys, 2022)

Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. - Clayton Miller; Liu Hao; Chun Fu (CoRR, 2022)

Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. - Chun Fu; Hussain Syed Kazmi; Matias Quintana; Clayton Miller (BuildSys, 2023)

Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics. - Clayton Miller; Matias Quintana; Mario Frei; Yun Xuan Chua; Chun Fu; Bianca Picchetti; Winston Yap; Adrian Chong; Filip Biljecki (BuildSys, 2023)

iCAZyGFADB: an insect CAZyme and gene function annotation database. - Chun Fu; Yaojun Yang (Database J. Biol. Databases Curation, 2023)

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation. - Chun Fu; Matias Quintana; Zoltán Nagy 002; Clayton Miller (CoRR, 2023)

Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. - Antonio Liguori; Matias Quintana; Chun Fu; Clayton Miller; Jérôme Frisch; Christoph van Treeck (CoRR, 2023)

EnFoBench: A community-driven energy forecasting benchmark. - Attila Balint; Chun Fu; Johan Driesen; Hussain Kazmi (ISGT EUROPE, 2024)

Creating synthetic energy meter data using conditional diffusion and building metadata. - Chun Fu; Hussain Syed Kazmi; Matias Quintana; Clayton Miller (CoRR, 2024)

Augmenting general-purpose large-language models with domain-specific multimodal knowledge graph for question-answering in construction project management. - Shenghua Zhou; Keyan Liu; Dezhi Li; Chun Fu; Yan Ning; Wenying Ji; Xuefan Liu; Bo Xiao; Ran Wei (Adv. Eng. Informatics, 2025)