Yunhe Feng

Yunhe Feng is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where he directs the Responsible AI Lab and co-leads the Learning · Language · Vision (LLaVi) Lab. He also serves as an Affiliate Assistant Professor in the Anuradha and Vikas Sinha Department of Data Science at UNT. Previously, he was a Postdoctoral Fellow at the University of Washington (2020-2022) after earning his Ph.D. in Computer Science from the University of Tennessee, Knoxville (2020).

Research Interests include Responsible AI, Generative AI, Data Security & Privacy, and their applications in Computational Health and Spatial Computing. His work explores AI ethics, robustness in vision-language models, and efficient large language model inference techniques.

Recent Publications focus on dynamic attention masking for LLMs, generative AI in biomedical imaging, and multimodal semantic segmentation, with contributions appearing in top venues like ACL, ICCV, IROS, and IEEE Transactions.

Awards & Honors include:

• 2025 IEEE Senior Member
• 2024 Dallas Innovates AI 75 List
• 2023 IEEE Smart Computing Early Career Award
• 2023 IEEE COMPSAC Best Track Paper Award

Teaching & Leadership involves directing UNT's Master's Program in Artificial Intelligence (first in Texas) and teaching courses like CSCE 5300 - Introduction to Big Data. He mentors undergraduate and graduate students while serving on program committees for AAAI, ACL, and IEEE conferences.