Xilei Dai
Cited by
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Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade
X Cao, X Dai, J Liu
Energy and buildings 128, 198-213, 2016
A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings
X Dai, J Liu, X Zhang
Energy and Buildings 223, 110159, 2020
Indoor air quality and occupants' ventilation habits in China: seasonal measurement and long-term monitoring
J Liu, X Dai, X Li, S Jia, J Pei, Y Sun, D Lai, X Shen, H Sun, H Yin, ...
Building and Environment 142, 119-129, 2018
Long-term monitoring of indoor CO2 and PM2. 5 in Chinese homes: Concentrations and their relationships with outdoor environments
X Dai, J Liu, X Li, L Zhao
Building and Environment 144, 238-247, 2018
Ventilation behavior in residential buildings with mechanical ventilation systems across different climate zones in China
D Lai, Y Qi, J Liu, X Dai, L Zhao, S Wei
Building and Environment 143, 679-690, 2018
Deep learning for automated cerebral aneurysm detection on computed tomography images
X Dai, L Huang, Y Qian, S Xia, W Chong, J Liu, AD Ieva, X Hou, C Ou
International journal of computer assisted radiology and surgery, 2020
Modeling and controlling indoor formaldehyde concentrations in apartments: On-site investigation in all climate zones of China
X Dai, J Liu, Y Yin, X Song, S Jia
Building and Environment 127, 98-106, 2018
Air change rates in urban Chinese bedrooms
J Hou, Y Sun, Q Chen, R Cheng, J Liu, X Shen, H Tan, H Yin, K Huang, ...
Indoor air 29 (5), 828-839, 2019
Associations of indoor carbon dioxide concentrations, air temperature, and humidity with perceived air quality and sick building syndrome symptoms in Chinese homes
J Hou, Y Sun, X Dai, J Liu, X Shen, H Tan, H Yin, K Huang, Y Gao, D Lai, ...
Indoor Air 31 (4), 1018-1028, 2021
2D-PIV measurement of range hood-driven flow in a domestic kitchen
W Chen, J Li, C Wang, X Dai, J Liu
Energy and Buildings 177, 64-76, 2018
An eight-city study of volatile organic compounds in Chinese residences: Compounds, concentrations, and characteristics
J Pei, Y Yin, J Liu, X Dai
Science of The Total Environment 698, 134137, 2020
A recurrent neural network using historical data to predict time series indoor PM2. 5 concentrations for residential buildings
X Dai, J Liu, Y Li
Indoor air 31 (4), 1228-1237, 2021
An artificial neural network model using outdoor environmental parameters and residential building characteristics for predicting the nighttime natural ventilation effect
X Dai, J Liu, X Zhang, W Chen
Building and Environment 159, 106139, 2019
Comparing the effects of sun and wind on outdoor thermal comfort: A case study based on longitudinal subject tests in cold climate region
K Liu, Z Lian, X Dai, D Lai
Science of The Total Environment 825, 154009, 2022
Monte Carlo simulation to control indoor pollutants from indoor and outdoor sources for residential buildings in Tianjin, China
X Dai, J Liu, X Zhang
Building and Environment 165, 106376, 2019
Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants
L Jia, J Liu, A Chong, X Dai
Applied Energy 322, 119443, 2022
The impact of water on particle emissions from heated cooking oil
W Chen, P Wang, D Zhang, J Liu, X Dai
Aerosol and Air Quality Research 20 (3), 533-543, 2020
Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence
X Dai, S Cheng, A Chong
Energy and Buildings 278, 112629, 2023
Assessment of a confined thermal plume by PIV combined with POD analysis
W Chen, J Liu, J Li, X Dai, P Wang, C Wang
Applied Thermal Engineering 188, 116590, 2021
Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges
X Dai, W Shang, J Liu, M Xue, C Wang
Science of The Total Environment, 164858, 2023
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