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Liang Zhang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.HC1
  • cs.SE1
  • eess.SY1
same name
  • Liang Zhang — 24 papers, h 15
  • Liang Zhang — 16 papers, h 5
  • Liang Zhang — 13 papers, h 8
  • Liang Zhang — 12 papers
  • Liang Zhang — 12 papers, h 6
  • Liang Zhang — 11 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedScaling Data-Driven Building Energy Modelling using Large Language Models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cs.SE2024★ 1 cited

Scaling Data-Driven Building Energy Modelling using Large Language Models

Sunil Khadka, Liang Zhang

Building Management System (BMS) through a data-driven method always faces data and model scalability issues. We propose a methodology to tackle the scalability challenges associat…

cs.AI2024

Large Language Model-Based Interpretable Machine Learning Control in Building Energy Systems

Liang Zhang, Zhelun Chen

The potential of Machine Learning Control (MLC) in HVAC systems is hindered by its opaque nature and inference mechanisms, which is challenging for users and modelers to fully comp…

cs.HC2024

Advancing Building Energy Modeling with Large Language Models: Exploration and Case Studies

Liang Zhang, Zhelun Chen, Vitaly Ford

The rapid progression in artificial intelligence has facilitated the emergence of large language models like ChatGPT, offering potential applications extending into specialized eng…

eess.SY2023

Opportunities and Challenges of Applying Large Language Models in Building Energy Efficiency and Decarbonization Studies: An Exploratory Overview

Liang Zhang, Zhelun Chen

In recent years, the rapid advancement and impressive capabilities of Large Language Models (LLMs) have been evident across various domains. This paper explores the application, im…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.