About

Yue Zhang is an Assistant Professor at Texas A&M University College of Arts and Sciences in the Department of Atmospheric Sciences. His research focuses on understanding the physicochemical evolution and interactions of gas- and particle-phase compounds in the atmosphere, including volatile organic compounds (VOCs) and organic aerosols. His work aims to elucidate the formation mechanisms of aerosols, their climate effects, and health impacts in both outdoor and indoor environments. Dr. Zhang's research projects include studying the chemical evolution of organic aerosols using environmental chambers and chemical characterization techniques, examining the climate effects of aerosols through their physicochemical properties, and analyzing the spatial-temporal distribution and reactivity of organic gases in the atmosphere. He is actively involved in connecting fundamental atmospheric chemistry with air pollution and climate predictions, utilizing advanced measurement techniques such as aerosol and gas phase mass spectrometry, and applying laboratory-derived reaction mechanisms to regional and global models. Dr. Zhang holds a Ph.D. in Environmental Sciences and Engineering from Harvard University and a B.S. in Environmental Sciences from Peking University. His contributions have been recognized through awards including the NSF CAREER Award and the Texas A&M University Montague-CTE Scholar Award.

Research topics

• Computer Science
• Artificial Intelligence
• Statistics
• Engineering
• Mathematics
• Medicine
• Data Mining
• Automotive engineering
• Transport engineering
• Telecommunications
• Simulation
• Medical emergency
• Econometrics
• Environmental health
• Environmental science

Selected publications

• Resource utilization of metallurgical steel slag and copper slag for the preparation of cementitious materials: performance differences and microstructural mechanisms

  Canadian Metallurgical Quarterly · 2026-01-09

  article
  PublisherDOI

• The atmospheric residual error model of time-series InSAR based on ERA-5 PWV in Beijing, China

  Advances in Space Research · 2026-01-29

  articleCorresponding
  PublisherDOI

• U.S. port disruptions under tropical cyclones: Resilience analysis by harnessing multiple-source dataset

  Transportation Research Part D Transport and Environment · 2026-05-14

  articleOpen access
  PublisherOA PDFDOI

• Comparative Investigation of Reaction Mechanisms in Alkali-Activated Steel and Copper Slags Influenced by Mechanical Grinding

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Multilingual Parameter-Sharing Adapters: A Method for Optimizing Low-Resource Neural Machine Translation

  2025-03-12

  article1st authorCorresponding

  Adapter-based Multilingual Neural Machine Translation (MNMT) has become a significant approach in low-resource language translation by mitigating data imbalances between high-resource and low-resource language pairs and reducing training costs. However, existing adapter-based methods lack generalization in cross-lingual settings, particularly under low-resource conditions, where their scalability is limited. Additionally, current methods often introduce independent adapter modules for each language, leading to a linear increase in model parameters with the number of languages. To address these challenges, we propose a multilingual parameter-sharing adapter approach. Moreover, we introduce a neural architecture search (NAS)-based strategy to improve translation performance. Experimental results demonstrate that the multilingual parameter-sharing adapter exhibits competitive performance on both low-resource and high-resource datasets. The multilingual parameter-sharing adapter method has only 400K trainable parameters, which is 20× lower than the parameters of the traditional adapter method.

  PublisherDOI

• A Unified Numerical Framework for the Soil and Fluid Coupling Problem Considering Mixture and Separation

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• Differential settlements monitoring in railway transition zones using satellite‐based remote sensing techniques

  Computer-Aided Civil and Infrastructure Engineering · 2025-06-04 · 1 citations

  articleOpen accessCorresponding
  PublisherOA PDFDOI

• The development of a high granular crystal calorimeter prototype of VLAST

  ArXiv.org · 2025-09-29

  preprintOpen access

  Very Large Area gamma-ray Space Telescope (VLAST) is the next-generation flagship space observatory for high-energy gamma-ray detection proposed by China. The observation energy range covers from MeV to TeV and beyond, with acceptance of 10 m^2sr. The calorimeter serves as a crucial subdetector of VLAST, responsible for high-precision energy measurement and electron/proton discrimination. This discrimination capability is essential for accurately identifying gamma-ray events among the background of charged particles. To accommodate such an extensive energy range, a high dynamic range readout scheme employing dual avalanche photodiodes (APDs) has been developed, achieving a remarkable dynamic range of 10^6. Furthermore, a high granular prototype based on bismuth germanate (BGO) cubic scintillation crystals has been developed. This high granularity enables detailed imaging of the particle showers, improving both energy resolution and particle identification. The prototype's performance is evaluated through cosmic ray testing, providing valuable data for optimizing the final calorimeter design for VLAST.

  PublisherOA PDFDOI

• Design and distortion test of the near-eye optical system for digital head-mounted night vision display

  2025-07-29

  article

  Benefits from the development of low-light-level CMOS, digital head-mounted night vision display arises rapidly. It is The compact near-eye optical systems with large FOV, low cost, and lightweight for digital head-mounted night vision display is becoming increasingly important. In this paper, a compact near-eye optical system is designed for digital head-mounted night vision display. The number of lenses used in this system is reduced to three benefits from the utilization of aspherical lens, and the vertical chromatic aberration and axial chromatic aberration are well corrected, as well as dispersion and coma aberration. By optimizing the structures, the diameter and distance of exit pupil for the designed near-eye optical system are 4.5 mm and 20 mm, respectively. The focal length of the designed near-eye optical systemis19 mm. The FOV of the designed near-eye optical system is over 60 degrees, and the total optical length of the designed near-eye optical system is only 25 mm. Based on the above simulation results, the near-eye optical system is further produced and completed. Experiments are carried out to measure the distortion of the completed near-eye optical system, and the experimental results demonstrate that the actual image performances of the produced near-eye optical system areas good as the simulation results, with distortion value less than 3%.

  PublisherDOI

• Shape-stabilized polyethylene glycol composite phase change materials based on dendritic mesoporous silica sphere support for thermal energy storage

  Solar Energy Materials and Solar Cells · 2025-01-21 · 13 citations

  article
  PublisherDOI

Frequent coauthors

• Yuanchang Xie

  University of Massachusetts Lowell

  18 shared

• Xiaoqiang Kong

  Betta Pharmaceuticals (China)

  17 shared

• Dominique Lord

  Texas A&M University

  13 shared

• Jie Yu

  National Institute for Radiological Protection

  13 shared

• Zihao Li

  Pacific Northwest National Laboratory

  12 shared

• Subasish Das

  11 shared

• Yajie Zou

  Institute of Agricultural Resources and Regional Planning

  10 shared

• Zihang Wei

  9 shared

Education

• PhD, School of Civil Engineering

  Beijing Jiaotong University

  2018

Awards & honors

• U.S. National Science Foundation (NSF) CAREER Award (2025)
• Texas A&M University Montague-CTE Scholar Award (2024)
• University of North Carolina Postdoctoral Award for Research…
• Best Papers of 2018 Environmental Science and Technology Let…
• Atmospheric Chemistry Colloquium for Emerging Senior Scienti…