About Me. I am a tenure-track Assistant Professor of Computer Science at University of Nebraska Omaha (UNO). My research focuses on computer vision, deep learning, and machine learning, specifically image category, multimodal learning, and medical image analysis. I got my Ph.D. in Computer Science from the University of Kentucky under the supervision of Dr. Nathan Jacobs and Dr. Ai-Ling Lin. I love my wife, my baby girl, and my cats (we have two cats: Miaomiao and Maisy).
Lab Openings. I am actively seeking for new members at all levels to join my Lab!.
- I welcome self-motivated students who are passionate about AI and computer vision to join my lab. See our Lab page for more details on how to apply.
- We welcome both undergraduate and graduate interns from UNO and other institutions. See our Lab page for more details on how to apply.
- The goal of a research internship is to design a project that aligns with both my lab’s goals and your interests, and that you can lead toward a publication.
Research Interests: My research aims on Computer Vision and AI4Healthcare. I am interested in a wide range of research fields from computer vision, multimodal AI, and AI+X. Currently I am actively working on
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Vision-Language Model
Vision-language models (VLMs), upgraded by the CLIP model of OpenAI, have demonstrated remarkable performance across a wide range of computer vision tasks. I am particularly interested in exploring their applications under limited supervision scenarios, including semi-supervised learning, self-supervised learning, few-shot learning, and zero-shot learning. These approaches offer exciting opportunities to build robust and scalable vision systems with minimal labeled data.
Keywords: VLMs, Limited Supervision -
Computer Vision in Medical Imaging
Computer vision plays a critical role in medical imaging analysis, particularly in applications such as Computer-Aided Diagnosis (CAD). I am deeply interested in developing and applying deep learning models tailored to clinical medical data—ranging from simple, shallow CNNs to complex multi-modality learning frameworks. Our current work focuses on integrating foundation models into AI for Health (AI4Health) applications.
Keywords: Computer Vision, AI4Healthcare -
Generation AI in Medical Data
Generative AI is a fascinating field, and I am deeply passionate about its applications in medical data, including data and label generation, disease progression modeling, and precision healthcare. Our current work focuses on developing a generative framework that integrates multiple data modalities—such as medical imaging and clinical records—to generate high-quality, trustworthy medical data for research and clinical decision support.
Keywords: Generation AI, Precision Healthcare
Collaboration with Me. I am open to research collaborations, invited talks, and other opportunities from both within and outside my institution. I believe that impactful research often grows from long-term, meaningful collaborations. If you're interested in working together or starting a conversation, feel free to drop me an email. Let’s connect!
Recent News
[07/2025] Honored to be awarded the funding of Nebraska Research Initiative (NRI).
[07/2025] One paper got accepted to NMR in Biomedicine.
[05/2025] One paper got accepted to Transactions on Machine Learning Research (TMLR).
[04/2025] Gave an invited talk at the University of Kansas Medical Center (KUMC).
[02/2025] One abstract got accepted to 2025 CAE in Cybersecurity Symposium – Charleston, South Carolina!
[12/2024] One paper got accepted to IEEE International Conference on Big Data (BigData).
[12/2024] Two abstracts got accepted to Alzheimer’s Association International Conference.
[09/2024] One paper got accepted to Bioengineering.
[08/2024] New Adventure Begins at UNO.
[06/2024] One paper got accepted to CVPR workshop.
[04/2024] I will be joining the University of Nebraska Omaha (UNO) as an Assistant Professor of Computer Science in August.
[11/14/2023] I successfully defended my dissertation and got my title! :)
[11/2023] One paper got accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[09/2023] One paper got accepted to Frontiers in Aging Neuroscience.
[09/2023] One paper got accepted to Scientific Reports.
[08/2023] One paper got accepted to Cluster Computing.
[07/2023] One paper got accepted to Bioengineering.
[01/2023] One paper got accepted to Electronics.
[11/2022] One paper got accepted to Frontiers in Microbiomes.
[09/2022] One paper got accepted to Knowledge-Based Systems.
[05/2022] One paper got accepted to ICPR 2022.
[01/2022] One paper on medical imaging got accepted to ISBI 2022.
[09/2021] One paper got accepted to IEEE Journal of Biomedical and Health Informatics.
[07/2021] Two papers got accepted to EMBC 2021.
[07/2020] Four Abstracts got accepted to Alzheimer’s Association International Conference.
[07/2020] One paper got accepted to a ECCV 2020 workshop.
[07/2020] One paper got accepted to Nature Communications biology.
[10/2019] Two papers got accepted to BIBM 2019.
🏅 Awards and Grants
As Principal Investigator (August 2024 onwards)
Prior to Principal Investigator Role (Before August 2024)
Department of Computer Science
College of Information Science & Technology
Omaha, Nebraska, USA
Email: