Wenhan Tao

Wenhan Tao

Ph.D. Student in Computer Science · Texas State University

I am a Ph.D. student at Texas State University working on computer vision and multimodal learning, with a focus on object detection and intelligent multimedia systems.

Object Detection Multimodal Learning Computer Vision Multimedia Systems

About

My current research focuses on multimodal visual understanding and robust object detection in challenging environments. I am interested in designing practical AI systems for real-world multimedia and vision applications.

Education

Texas State University
Ph.D. in Computer Science
Jan 2026 – Present
Texas State University
M.S. in Computer Science · GPA: 3.67/4.0
Sep 2024 – Jan 2026
Yancheng Normal University (China)
B.E. in Data Science and Big Data Technology · Top 5%
Sep 2020 – Jun 2024

Selected Publications

Evaluating the Quality of Experience of VR Applications in a Charade Game Environment
Orhunova, P.; Tao, W.; Farias, M. · IEEE Pulse · 2025
Image and Video Repair System based on Deep Learning
Software Copyright Registration · 2023

Selected Projects

Bat Motion Target Detection in Low-Light Videos
Research Assistant · Texas State University
2025 – Present

Built a low-light bat detection pipeline using YOLO-based models and motion-aware preprocessing for robust detection and tracking in challenging video conditions.

YOLO Low-light Vision Detection Python
QoE in VR Communication Applications
Immersive Media Group · Texas State University
2024 – 2025

Supported VR/XR QoE experiments, session operations, and evaluation workflows, contributing to an IEEE Pulse publication.

VR QoE XR User Study

Contact

Email: qoa10@txstate.edu
Location: San Marcos, Texas, United States