activity
20222025
most citedUtilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets

4 citations · 5 across the 6 of their papers we have counts for

collaborators

8 papers

stat.AP2025

From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case

Xia Chen, Ruiji Sun, Philipp Geyer +2

Human-factor analysis typically employs correlation analysis and significance testing to identify relationships between variables. However, these descriptive ('what-is') methods, w…

cs.LG2024

Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal

Xia Chen, Guoquan Lv, Xinwei Zhuang +3

Symbolic neural networks, such as Kolmogorov-Arnold Networks (KAN), offer a promising approach for integrating prior knowledge with data-driven methods, making them valuable for ad…

cs.LG2024

Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework

Xia Chen, Alexander Rex, Janis Woelke +4

In this study, we propose to adopt a novel framework, Knowledge-integrated Machine Learning, for advancing Proton Exchange Membrane Water Electrolysis (PEMWE) development. Given th…

cs.CE2023★ 1 cited

Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry

Xia Chen, Ruiji Sun, Ueli Saluz +2

The decision-making process in real-world implementations has been affected by a growing reliance on data-driven models. We investigated the synergetic pattern between the data-dri…

cs.AI2023

Pathway toward prior knowledge-integrated machine learning in engineering

Xia Chen, Philipp Geyer

Despite the digitalization trend and data volume surge, first-principles models (also known as logic-driven, physics-based, rule-based, or knowledge-based models) and data-driven a…

cs.LG2023★ 4 cited

Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets

Xia Chen, Manav Mahan Singh, Philipp Geyer

The demand for a huge amount of data for machine learning (ML) applications is currently a bottleneck in an empirically dominated field. We propose a method to combine prior knowle…

cs.LG2023

A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation

Xia Chen, Xiaoye Cai, Alexander Kümpel +2

The development of current building energy system operation has benefited from: 1. Informational support from the optimal design through simulation or first-principles models; 2. S…

q-bio.NC2022

Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

Xia Chen, Xiangbin Teng, Han Chen +2

This study examines the efficacy of various neural network (NN) models in interpreting mental constructs via electroencephalogram (EEG) signals. Through the assessment of 16 preval…