Skip to main content

Kean University

Apply
Visit

Language selection

Meng Xu, Ph.D.

Meng Xu

Assistant Professor

Office Location

 

GLAB 419

Email

 

meng.xu@kean.edu

Phone

 

(908) 737-4711

Learn more

 

Website

 

Google Scholar

 

Education

2017.09 - 2023.05, Ph.D. in Computer Science, Utah State University.

2013.09 - 2017.06, B.S. in Management Information Systems, Tianjin University of Technology.

 

Courses Taught

  • CPS 4841 Computer Vision
  • TECH 4982 Special Topics in Computer Vision
  • CPS 1231 Foundations of Computer Science 
  • TECH 3740 IT Database Management Systems

Research Interests

I am interested in Human-Computer Interaction, focused on Deep Learning, Computer Vision, and Medical Image Analysis research.

  • Teaching philosophy

    • My teaching approach is based on three principles: (1) Cultivating Critical Thinking, (2) Encouraging Collaborative Learning, and (3) Adapting Instruction to Individual Needs.

  • Grants 

    • External: 

      • AIM-AHEAD Research Fellowship Program Cohort 4, Deep Learning Applications for Early Detection of Breast Cancer in Mammography, $51,840, Principal Investigator, 10/1/2025 to 9/1/2026.

      • NSF 24-536 Computer and Information Science and Engineering Research Expansion Program, Collaborative Research: CISE MSI: RCBP: SCH: Advancing Breast-Cancer Detection in Ultrasound Imaging through Active- and Weakly-Supervised Learning, $203,981, Co-Principal Investigator (with PI Dr. Kuan Huang), 09/01/2024 to 08/31/2026.

      • CAHSI-Google Institutional Research Program Awards, Building a Trustworthy Deep Learning Model for Urban-Scene Image Segmentation: Robustness and Uncertainty Analysis, $80,000 and $20,000 Google Cloud Platform credits, Principal Investigator, 09/01/2024 to 08/31/2025.

    • Internal: 

      • Kean IST Fellowship, Building a Trustworthy Deep Learning Model for Urban Scene Image Segmentation, $10,000, Principal Investigator, 9/1/2025 to 5/1/2026.

      • WKU-KU Special Programs (International Collaborative Research Programs), Investigation of Deep Learning-Generated Images as Data Source for Robust Medical Image Segmentation, $42,159, KU Collaborator, 2025 to 2028.

      • Students Partnering with Faculty (SpF) at Kean University, Trustworthy Weakly Supervised Breast Cancer Detection in Ultrasound Imaging, $17,000, Principal Investigator, 6/15/2024 to 5/6/2025.

  • Selected publications: 

    • Meng Xu, Yingfeng Wang, Kuan Huang. “Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation.” International Symposium on Biomedical Imaging (ISBI), 2025.

    • Kuan Huang, Meng Xu, Yingfeng Wang. “Using Adversarial Training to Improve Uncertainty Quantification”, IEEE Transactions on Artificial Intelligence, 2025.

    • Tongyu Wang, Kuan Huang, Meng Xu (corresponding author), Jianhua Huang. “Weakly supervised chest X-ray abnormality localization with non-linear modulation and foreground control”, Scientific Reports, 2024.

    • Meng Xu, Kuan Huang, and Xiaojun Qi. “A regional-attentive multi-task learning framework for breast ultrasound image segmentation and classification.” IEEE Access, 2023.

    • Research Opportunities for Students

      • My research team is always looking for self-motivated undergraduate and graduate students to join our projects. Students who have completed or are currently taking the Data Structures course are welcome to contact me directly about volunteer or paid research opportunities. Requirements: strong coding skills, high self-motivation, and a genuine eagerness to learn!