Xin Li Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor 10 Months
faculty
Research Areas
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)
-
Transformer-Based Light Field Salient Object Detection and Its Application to Autofocus (2024)
-
Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding (2024)
-
KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling (2024)
-
MMGInpainting: Multi-Modality Guided Image Inpainting Based on Diffusion Models (2024)
-
GAFlow: Incorporating Gaussian Attention into Optical Flow (2023)
-
Neural mechanisms of face familiarity and learning in the human amygdala and hippocampus (2023)
-
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing (2023)
-
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph (2023)
-
Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder (2023)
-
Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring (2023)
-
Robust Geometry-Dependent Attack for 3D Point Clouds (2023)
-
Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion (2023)
-
Uncertainty-Driven Knowledge Distillation for Language Model Compression (2023)
-
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis (2023)
Collaboration Network
Top Collaborators
- Model-Guided Deep Hyperspectral Image Super-Resolution
- Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
- Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring
- Robust Depth Completion with Uncertainty-Driven Loss Functions
- Deep Maximum a Posterior Estimator for Video Denoising
Showing 5 of 10 shared publications
- Encoding of facial features by single neurons in the human amygdala and hippocampus
- Discriminative Few Shot Learning of Facial Dynamics in Interview Videos for Autism Trait Classification
- Review: Posed vs. Genuine Facial Emotion Recognition and Expression in Autism and Implications for Intervention
- A neuronal social trait space for first impressions in the human amygdala and hippocampus
- Face identity coding in the deep neural network and primate brain
Showing 5 of 10 shared publications
- Model-Guided Deep Hyperspectral Image Super-Resolution
- Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
- Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring
- Deep Maximum a Posterior Estimator for Video Denoising
- Deep Unfolding Network for Efficient Mixed Video Noise Removal
Showing 5 of 9 shared publications
- Model-Guided Deep Hyperspectral Image Super-Resolution
- Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
- Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring
- Robust Depth Completion with Uncertainty-Driven Loss Functions
- Deep Maximum a Posterior Estimator for Video Denoising
Showing 5 of 7 shared publications
- Encoding of facial features by single neurons in the human amygdala and hippocampus
- A neuronal social trait space for first impressions in the human amygdala and hippocampus
- Face identity coding in the deep neural network and primate brain
- Neural mechanisms of face familiarity and learning in the human amygdala and hippocampus
- Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder
Showing 5 of 6 shared publications
- Fine-grained classification of drug trafficking based on Instagram hashtags
- Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
- Face spoofing detection under super-realistic 3D wax face attacks
- Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
- A saliency-guided street view image inpainting framework for efficient last-meters wayfinding
- Model-Guided Deep Hyperspectral Image Super-Resolution
- Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring
- Deep Unfolding Network for Efficient Mixed Video Noise Removal
- Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion
- Uncertainty-Driven Knowledge Distillation for Language Model Compression
- Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
- Robust Depth Completion with Uncertainty-Driven Loss Functions
- Deep Maximum a Posterior Estimator for Video Denoising
- Adaptive Search-and-Training for Robust and Efficient Network Pruning
- Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution
- Encoding of facial features by single neurons in the human amygdala and hippocampus
- A neuronal social trait space for first impressions in the human amygdala and hippocampus
- Face identity coding in the deep neural network and primate brain
- Neural mechanisms of face familiarity and learning in the human amygdala and hippocampus
- A neuronal code for object representation and memory in the human amygdala and hippocampus
- Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
- Toward Interactive Self-Supervised Denoising
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- NTIRE 2021 Challenge on Video Super-Resolution
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
- Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
- Robust Geometry-Dependent Attack for 3D Point Clouds
- Discriminative Few Shot Learning of Facial Dynamics in Interview Videos for Autism Trait Classification
- Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
- Comprehensive Social Trait Judgments From Faces in Autism Spectrum Disorder
- Toward Interactive Self-Supervised Denoising
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
- Face spoofing detection under super-realistic 3D wax face attacks
- A saliency-guided street view image inpainting framework for efficient last-meters wayfinding
Similar Researchers
Based on overlapping research topics