Xuan-Bac NguyenI am currently a PhD student in the Computer Science and Computer Engineering Department at the University of Arkansas, under the supervision of Dr. Khoa Luu. I previously earned my M.S. in Computer Science from Chonnam National University, advised by Prof. Gueesang Lee, and my B.Sc. in Electronics and Telecommunications from the University of Engineering and Technology, VNU. My research interests include computer vision, vision-brain understanding, and quantum machine learning. Email / Google Scholar / Github / LinkedIn |
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Recent NewsSep. 2025: One paper has been accepted to IEEE Transactions on pattern analysis and machine intelligence (IF: 18.6). Congratulations! Jun. 2025: One paper has been accepted to International Journal of Computer Vision (IF 15.5). Congratulations! Jun. 2025: One paper has been accepted to Quantum Machine Intelligence (IF 5.6). Congratulations! Feb. 2025: Bac successfully defended Ph.D Thesis Proposal "Towards Vision-Brain Understanding At Scales: From Classical to Quantum Machine Learning Approaches". Congratulations! Jan. 2025: Bac was awarded College of Engineering Graduate Fellowships. Congratulations! Dec. 2024: One paper has been accepted to Neurocomputing (IF: 6.5). Congratulations! Sep. 2024: Bac was awarded UA Graduate Fellowships. Congratulations! Sep. 2024: One paper has been accepted to 2024 IEEE Workshop on Signal Processing Systems. Congratulations! Aug. 2024: One paper has been accepted to Quantum Machine Intelligence (IF 5.6). Congratulations! Apr. 2024: Our paper is selected as highlight (11.9%) at CVPR 2024. Congratulations! Jan. 2024: One paper has been accepted to CVPR 2024, Congratulations! Jul. 2023: Bac won 3rd at The Algonauts Challenge 2023. Congratulations! May. 2023: Bac was awarded CVPR 2023 Outstanding Reviewers. Congratulations! Feb. 2023: One paper has been accepted to CVPR 2023. Congratulations! Aug. 2022: Bac was awarded Reginald R. “Barney” & Jameson A. Baxter Graduate Fellowship. Congratulations! May. 2022: One paper has been accepted to ICPR 2022. Congratulations! Mar. 2021: One paper has been accepted to CVPR 2021. Congratulations! Aug. 2020: Bac got Master of Computer Science from Chonnam National University. Congratulations! |
Research |
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Bractive: A brain activation approach to human visual brain learningXuan-Bac Nguyen, Hojin Jang, Xin Li, Samee U Khan, Pawan Sinha, Khoa Luu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 arxiv / |
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BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain UnderstandingXuan-Bac Nguyen, Thanh-Dat Truong, Pawan Sinha, Khoa Luu Under Submission, 2025 arxiv / |
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CLIFF: Continual Learning for Incremental Flake Features in 2D Material IdentificationSankalp Pandey, Xuan Bac Nguyen, Nicholas Borys, Hugh Churchill, Khoa Luu Under Submission, 2025 arxiv / |
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Phi-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material DiscoveryHoang-Quan Nguyen, Xuan Bac Nguyen, Sankalp Pandey, Tim Faltermeier, Nicholas Borys, Hugh Churchill, Khoa Luu Under Submission, 2025 arxiv / |
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Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect UnderstandingThanh-Dat Truong*, Hoang-Quan Nguyen*, Xuan Bac Nguyen, Ashley Dowling, Xin Li, and Khoa Luu International Journal of Computer Vision (IJCV), 2025 arxiv / website / |
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Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum CircuitsHoang-Quan Nguyen, Xuan Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu Quantum Machine Intelligence, 2025 arxiv / |
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Brainformer: Mimic human visual brain functions to machine vision models via fMRIXuan-Bac Nguyen, Xin Li, Pawan Sinha, Samee U Khan, Khoa Luu Neurocomputing, 2025 arxiv / |
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Cobra: A continual learning approach to vision-brain understandingXuan-Bac Nguyen, Manuel Serna-Aguilera, Arabinda Kumar Choudhary, Pawan Sinha, Xin Li, Khoa Luu Under Submission, 2024 arxiv / |
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Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain UnderstandingHoang-Quan Nguyen, Xuan-Bac Nguyen, Hugh Churchill, Arabinda Kumar Choudhary, Pawan Sinha, Samee U. Khan, Khoa Luu arXiv, 2024 arxiv / |
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Hierarchical Quantum Control Gates for Functional MRI UnderstandingXuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu IEEE Workshop on Signal Processing Systems, 2024 arxiv / |
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Quantum Visual Feature Encoding RevisitedXuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, and Khoa Luu Quantum Machine Intelligence, 2024 arxiv / |
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QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual ClusteringXuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu IEEE International Conference on Quantum Computing and Engineering (QCE) Workshop, 2024 arxiv / |
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Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect UnderstandingHoang-Quan Nguyen*, Thanh-Dat Truong*, Xuan Bac Nguyen, Ashley Dowling, Xin Li, and Khoa Luu CVPR 2024 (Highlight), 2024 arxiv / video / code / poster / website / |
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Quantum vision clusteringXuan Bac Nguyen, Hugh Churchill, Khoa Luu, Samee U Khan Neurocomputing, 2023 arxiv / |
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The algonauts project 2023 challenge: Uark-ualbany team solutionXuan-Bac Nguyen, Xudong Liu, Xin Li, Khoa Luu The algonauts 2023 challenge (CCN), 2023 arxiv / |
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Micron-BERT: BERT-based Facial Micro-Expression RecognitionXuan-Bac Nguyen, Chi Nhan Duong, Xin Li, Susan Gauch, Han-Seok Seo, Khoa Luu CVPR, 2023 arxiv / |
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Fairness in visual clustering: A novel transformer clustering approachXuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Hugh Churchill, Khoa Luu The algonauts 2023 challenge (CCN-2023), 2023 arxiv / |
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Otadapt: Optimal transport-based approach for unsupervised domain adaptationThanh-Dat Truong, Ravi Teja Nvs Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley PG Dowling, Khoa Luu ICPR, 2022 arxiv / |
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Two-dimensional quantum material identification via self-attention and soft-labeling in deep learningXuan Bac Nguyen, Apoorva Bisht, Ben Thompson, Hugh Churchill, Khoa Luu, Samee U Khan IEEE Access, 2022 arxiv / |
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Clusformer: A transformer based clustering approach to unsupervised large-scale face and visual landmark recognitionXuan Bac Nguyen, Duc Toan Bui, Chi Nhan Duong, Tien D Bui, Khoa Luu CVPR (2021), 2021 arxiv / |
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Self-supervised learning based on spatial awareness for medical image analysisXuan Bac Nguyen, Guee Sang Lee, Soo Hyung Kim, Hyung Jeong Yang IEEE Access, 2020 arxiv / |
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Audio-video based emotion recognition using minimum cost flow algorithmXuan Bac Nguyen, Guee-Sang Lee, Soo-Hyung Kim, Hyung-Jeong Yang ICCVW (2019), 2019 arxiv / |
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Source code from Leonid Keselman's website |