Ky Luu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Woolcock Institute of Medical Research (2024); Ho Chi Minh City University of Education (2024–2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ky Luu is an Assistant Professor at the University of Arkansas at Fayetteville. His research interests lie at the intersection of artificial intelligence, machine learning, and various scientific domains. Luu has received significant federal funding from the National Science Foundation (NSF) for his work, including a $1,000,000 grant for a large-scale multi-modality learning system to identify tobacco addiction and predictive analytics via social media platforms, and a $499,728 CAREER award addressing hallucinations for trustworthy large-scale multi-modality learning.
His federally funded projects also include research into AI-powered non-lethal sampling for forest management and pollinator conservation ($249,947), human brain modeling via quantum machine intelligence ($149,960), and an AI system for high-throughput automated identification of ground-dwelling arthropods ($596,594). Luu's publication record includes work on deep reinforcement learning in computer vision and medical imaging, as well as applications of transformer architectures for action recognition and facial micro-expression analysis. He maintains an active lab website and has a citation h-index of 3 across 25 publications.
Luu collaborates closely with several colleagues at the University of Arkansas at Fayetteville, including Thanh-Dat Truong, Xuan-Bac Nguyen, Pha Nguyen, and Hoang-Quan Nguyen, with whom he shares numerous publications. His academic background includes a Bachelor's degree in Psychology from Ho Chi Minh City University of Education in Vietnam, with an aspiration to develop evidence-based recommendations for mental health support in academic and occupational settings.
Metrics
- h-index: 3
- Publications: 28
- Citations: 28
Selected Publications
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BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding (2026)
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An advanced hybrid quantum tabu search approach to vehicle routing problems (2026)
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COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026)
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DEGA: Dynamic Entropy Guided Adaptation (2025)
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QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025)
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QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks (2025)
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BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning (2025)
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HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025)
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Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding (2025)
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Diffusion-inspired quantum noise mitigation in parameterized quantum circuits (2025)
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SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025)
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MEX: Memory-Efficient Approach to Referring Multi-Object Tracking (2024)
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Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem (2024)
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Brainformer: Mimic human visual brain functions to machine vision models via fMRI (2024)
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Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits (2024)
Federal Grants 5 $2,496,229 total
CAREER: Addressing Hallucinations for Trustworthy Large-scale Multi-Modality Learning
Collaborative Research: EAGER: Human Brain Modeling via Quantum Machine Intelligence
Collaboration Network
Top Collaborators
- Deep reinforcement learning in computer vision: a comprehensive survey
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- Narrow Band Active Contour Attention Model for Medical Segmentation
- Multi-camera multi-object tracking on the move via single-stage global association approach
Showing 5 of 12 shared publications
- Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition
- Self-Supervised Domain Adaptation in Crowd Counting
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
Showing 5 of 10 shared publications
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Video-Based Autism Detection with Deep Learning
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
Showing 5 of 6 shared publications
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- Multi-camera multi-object tracking on the move via single-stage global association approach
- LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition
- Fast Flow Reconstruction via Robust Invertible n × n Convolution
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Self-Supervised Domain Adaptation in Crowd Counting
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- React: recognize every action everywhere all at once
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network
- Video-Based Autism Detection with Deep Learning
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- Narrow Band Active Contour Attention Model for Medical Segmentation
- Contextual Explainable Video Representation: Human Perception-based Understanding
- CapsNet for medical image segmentation
- Deep reinforcement learning in computer vision: a comprehensive survey
- VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
- Narrow Band Active Contour Attention Model for Medical Segmentation
- Contextual Explainable Video Representation: Human Perception-based Understanding
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Quantum visual feature encoding revisited
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- Multi-camera multi-object tracking on the move via single-stage global association approach
- LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition
- Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
- Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- Pedestrian Lane Detection for Assistive Navigation of Vision-Impaired People: Survey and Experimental Evaluation
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Efficient hyperspectral image segmentation for biosecurity scanning using knowledge distillation from multi-head teacher
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
- React: recognize every action everywhere all at once
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- React: recognize every action everywhere all at once
- Quantum visual feature encoding revisited
- Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
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