Chun Fu - RankMe

16 papers Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Augmenting general-purpose large-language models with domain-specific multimodal knowledge graph for question-answering in construction project management. Adv. Eng. Informatics Shenghua Zhou, Keyan Liu, Dezhi Li, Chun Fu, Yan Ning, Wenying Ji, Xuefan Liu, Bo Xiao, Ran Wei
2025	—	`conf`	How realistic are synthetic energy data? Feature-based evaluation of generated smart meter load profiles. BuildSys Nazar Demir, Talia Qaiser, Ada Canaydin, Chun Fu, Matias Quintana, Clayton Miller, Hussain Kazmi
2024	J	`jnl`	Creating synthetic energy meter data using conditional diffusion and building metadata. CoRR Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller
2024	—	`conf`	EnFoBench: A community-driven energy forecasting benchmark. ISGT EUROPE Attila Balint, Chun Fu, Johan Driesen, Hussain Kazmi
2023	—	`conf`	Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. BuildSys Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller
2023	J	`jnl`	Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation. CoRR Chun Fu, Matias Quintana, Zoltán Nagy, Clayton Miller
2023	—	`conf`	Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics. BuildSys Clayton Miller, Matias Quintana, Mario Frei, Yun Xuan Chua, Chun Fu, Bianca Picchetti, Winston Yap, Adrian Chong, Filip Biljecki
2023	J	`jnl`	Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. CoRR Antonio Liguori, Matias Quintana, Chun Fu, Clayton Miller, Jérôme Frisch, Christoph van Treeck
2023	J	`jnl`	iCAZyGFADB: an insect CAZyme and gene function annotation database. Database J. Biol. Databases Curation Chun Fu, Yaojun Yang
2022	J	`jnl`	Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. CoRR Clayton Miller, Liu Hao, Chun Fu
2022	—	`conf`	Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. BuildSys Chun Fu, Pandarasamy Arjunan, Clayton Miller
2021	J	`jnl`	Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. CoRR Clayton Miller, Bianca Picchetti, Chun Fu, Jovan Pantelic
2021	J	`jnl`	Using Google Trends as a proxy for occupant behavior to predict building energy consumption. CoRR Chun Fu, Clayton Miller
2020	J	`jnl`	The ASHRAE Great Energy Predictor III competition: Overview and results. CoRR Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltán Nagy, Anthony Fontanini, Jeff Haberl
2013	J	`jnl`	A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection. Int. J. Distributed Sens. Networks Shao-Fei Jiang, Chun Fu, Chunming Zhang, Zhao-Qi Wu
2011	J	`jnl`	A hybrid data-fusion system using modal data and probabilistic neural network for damage detection. Adv. Eng. Softw. Shao-Fei Jiang, Chun Fu, Chunming Zhang