Xin Li Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Professor 10 Months

Last publication 2025 Last refreshed 2026-05-16

faculty

38 h-index 361 pubs 9,831 cited

Biography and Research Information

OverviewAI-generated summary

Xin Li's research focuses on the application of advanced computational techniques, particularly deep learning and artificial intelligence, to diverse fields including medical imaging, computer vision, and bioinformatics. Li has published extensively on topics such as hyperspectral image super-resolution and fusion, leveraging iterative spatio-spectral regularization within deep learning frameworks. Their work also extends to self-supervised learning for point cloud analysis, investigating rotation invariance and the interplay between local geometry and global topology.

Further research interests include robust action recognition using directed attention in Transformer models and the application of natural language processing models, such as ChatGPT, to assist in bioinformatics education. Li's scholarship metrics include an h-index of 37 and over 9,600 citations across 363 publications, designating them as a highly cited researcher. Key collaborators include Khoa Luu and Thanh-Dat Truong from the University of Arkansas at Fayetteville.

Metrics

  • h-index: 38
  • Publications: 361
  • Citations: 9,831

Selected Publications

  • A neuronal code for object representation and memory in the human amygdala and hippocampus (2025)
    11 citations DOI OpenAlex
  • Transformer-Based Light Field Salient Object Detection and Its Application to Autofocus (2024)
    13 citations DOI OpenAlex
  • Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding (2024)
    17 citations DOI OpenAlex
  • KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling (2024)
    13 citations DOI OpenAlex
  • MMGInpainting: Multi-Modality Guided Image Inpainting Based on Diffusion Models (2024)
    27 citations DOI OpenAlex
  • GAFlow: Incorporating Gaussian Attention into Optical Flow (2023)
    31 citations DOI OpenAlex
  • Neural mechanisms of face familiarity and learning in the human amygdala and hippocampus (2023)
    23 citations DOI OpenAlex
  • Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing (2023)
    34 citations DOI OpenAlex
  • GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph (2023)
    21 citations DOI OpenAlex
  • Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder (2023)
    12 citations DOI OpenAlex
  • Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring (2023)
    49 citations DOI OpenAlex
  • Robust Geometry-Dependent Attack for 3D Point Clouds (2023)
    15 citations DOI OpenAlex
  • Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion (2023)
    13 citations DOI OpenAlex
  • Uncertainty-Driven Knowledge Distillation for Language Model Compression (2023)
    12 citations DOI OpenAlex
  • Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis (2023)
    13 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

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