Chun Fu

According to our database, Chun Fu authored at least 15 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

2024

Creating synthetic energy meter data using conditional diffusion and building metadata.

Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller

CoRR, 2024

EnFoBench: A community-driven energy forecasting benchmark.

Attila Balint, Chun Fu, Johan Driesen, Hussain Kazmi

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

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

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation.

Chun Fu, Matias Quintana, Zoltán Nagy, Clayton Miller

CoRR, 2023

iCAZyGFADB: an insect CAZyme and gene function annotation database.

Chun Fu, Yaojun Yang

Database J. Biol. Databases Curation, 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

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model.

Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

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

Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition.

Chun Fu, Pandarasamy Arjunan, Clayton Miller

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2021

Using Google Trends as a proxy for occupant behavior to predict building energy consumption.

Chun Fu, Clayton Miller

CoRR, 2021

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

2020

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, Anthony Fontanini, Jeff Haberl

CoRR, 2020

2013

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

2011

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