Zongliang Yue

Assistant Research Professor

Auburn University

United States

Research Interests

Explore related searches

Professors in United States Professors in Cancer Biology Cancer Biology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Zongliang Yue is an Assistant Research Professor at Auburn University, USA. His research interests include integrating AI methodologies in wastewater management, enhancing natural disaster management through machine learning, and exploring nanotechnology in cancer treatment. Recent publications reflect his work on water health surveillance and cognitive impairment prediction using advanced computational techniques.

Articles (19)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (9)

Carlene Zindl

Assistant Professor

University of Alabama, Tuscaloosa

UNITED STATES

View details

Eleni Vrochidou

Researcher/ Lecturer

International Hellenic University

GREECE

View details

Bruce A. Vallance

CANADA

View details

Nur Mita

Graduate Teaching Assistant

Auburn University

UNITED STATES

View details

Sabrina Edralin

University of Illinois Urbana–Champaign

UNITED STATES

View details

Pengyu Chen

Assistant Professor

Auburn University

UNITED STATES

View details

Joshua Anderson

University of Alabama, Tuscaloosa

UNITED STATES

View details

Salisa Westrick

Professor

Auburn University

UNITED STATES

View details

Jake Yue Chen

The University of Alabama

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Zongliang Yue

Research Interests

Explore related searches

Contact this professor

About

Articles (19)

Advanced Graph–Physics Hybrid Framework (AGPHF) for Holistic Integration of AI-Driven Graph- and Physics- Methodologies to Promote Resilient Wastewater Management in Dynamic Real-World Conditions

Multi-Agentic Water Health Surveillance

A Logarithmic Compression Method for Magnitude-Rich Data: The LPPIE Approach

Biomimicry-Inspired Automated Machine Learning Fit-for-Purpose Wastewater Treatment for Sustainable Water Reuse

Autonomous Decision-Making Enhancing Natural Disaster Management through Open World Machine Learning: A Systematic Review

Coral Reef Calculus: Nature’s Equation for Pollution Control

Nanotechnology in Advancing Chimeric Antigen Receptor T Cell Therapy for Cancer Treatment

EMSIG: Uncovering Factors Influencing COVID-19 Vaccination Across Different Subgroups Characterized by Embedding-Based Spatial Information Gain

S2Map: a novel computational platform for identifying secretio-types through cell secretion-signal map

Prediction of cognitive impairment among Medicare beneficiaries using a machine learning approach

Biological Network Mining

An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases

PAGER Web APP: An Interactive, Online Gene Set and Network Interpretation Tool for Functional Genomics

A nonredundant role for T cell-derived interleukin 22 in antibacterial defense of colonic crypts

Metabolic alterations mediated by STAT3 promotes drug persistence in CML

Corrigendum: Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples

PAGER-CoV: a comprehensive collection of pathways, annotated gene-lists and gene signatures for coronavirus disease studies

CBIO-12. THE ROLES OF lncRNAs IN GBM RADIATION RESISTANCE AND TUMOR RECURRENCE

Multi-omic Exploration of Inherent and Acquired Radiation Resistance of Glioblastoma Patient-derived Xenografts

Collaborators (9)

Carlene Zindl

Eleni Vrochidou

Bruce A. Vallance

Nur Mita

Sabrina Edralin

Pengyu Chen

Joshua Anderson

Salisa Westrick

Jake Yue Chen

Make your next move.