Qi Li

About

I am an Assistant Professor of Computer Science at Fisk University. I received his Ph.D. in Computer Science from Auburn University in 2024, where I was advised by Dr. Wei-Shinn (Jeff) Ku and Dr. Anh Nguyen. My research spans artificial intelligence, neural network robustness and interpretability, human motion analysis, generative models, and interdisciplinary applications in healthcare and bioinformatics. My recent work includes fine-grained sports action recognition, AI-based human motion analysis, large language models for functional genomics, and computational methods for predicting disease progression. My research has been published in venues including CVPR, ACCV, IEEE BigData, IEEE Access, and Briefings in Bioinformatics. My work at ACCV received the Huawei Best Application Paper Honorable Mention.

Updates

  • 2026-09PI: NSF HBCU-UP Research Initiation Award (Award No. 2500032) $420,596
  • 2026-06Paper: GOLDEN Fusion — a graph-oriented learning method for generating super gene sets in functional genomics (Briefings in Bioinformatics).
  • 2025-09Co-PI, NSF Award No. 2346630.
  • 2025-08Paper: a framework for modeling county-level COVID-19 transmission (Frontiers in Public Health).
  • 2025-06Paper: Developing Effective Techniques for the Recognition of Shanghai Dialect Text (IEEE Access).
  • 2025-03Invited talk at MCBIOS 2025: TodenE 2.0: An upgrade of TodenE for Super-PAG Mining in Functional Genomics using Unsupervised Few-shot Learning
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  • 2024-12Released VideoBadminton dataset paper (IEEE BigData 2024).
  • 2024-08Started as Assistant Professor of Computer Science at Fisk University.
  • 2024-03Invited talk at MCBIOS 2024: TodenE: Topology‑Based and Density‑Based Ensembled Clustering for the Development of Super‑PAG in Functional Genomics using PAG Network and LLM
  • 2023-12Paper: CA-Wav2Lip, coordinate attention-based speech-to-lip synthesis in the wild (SMARTCOMP).
  • 2022-12ACCV 2022 Oral: gScoreCAM—What objects is CLIP looking at?
  • 2020-12ACCV 2020 Huawei Best Application Paper Honorable Mention.
  • 2020-05Received the Outstanding Master Student Award, Auburn University.
  • 2020-02Invited talk at Columbus Data Science Forum: Generative Adversarial Networks.
  • 2019-06Paper: Strike (with) a Pose — neural networks are easily fooled by strange poses of familiar objects (CVPR).

Selected Publications

  • GOLDEN Fusion: A Graph-Oriented Learning with Domain-Embedding Network Fusion for Generating Super Gene Sets in Functional Genomics

    2026

    Li, Q.; Nichols, C.; Welner, R. S.; Chen, J. Y.; Ku, W. S.; Yue, Z.

    Briefings in Bioinformatics

    PDF

  • gScoreCAM: What objects is CLIP looking at?

    2022

    Chen, P.; Li, Q.; Biaz, S.; Bui, T.; Nguyen, A.

    ACCV (Oral)

    PDF Code

  • A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings

    2020

    Li, Q.; Mai, L.; Alcorn, M. A.; Nguyen, A.

    ACCV (Best Application Paper Honorable Mention)

    PDF

  • Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

    2019

    Alcorn, M. A.; Li, Q.; Gong, Z.; Wang, C.; Mai, L.; Ku, W. S.; Nguyen, A.

    CVPR

    PDF Code

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