Hi! I am Truong Thanh Hung Nguyen. I am currently a PhD researcher at Analytics Everywhere Lab at University of New Brunswick (UNB), Canada and National Research Council Canada (NRC-CNRC), Canada, under the supervision of Hung Cao and Rene Richard.

I received my Master degree of Artificial Intelligence at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany in 2023 and my Bachelor degree of Computer Science at Frankfurt University of Applied Sciences (FRA-UAS), Germany and Vietnamese-German University (VGU), Vietnam in 2020.

My research interest involves Explainable Artificial Intelligence (XAI), Computer Vision, Edge Computing, Biomedical Signal/Image Analysis, and Reinforcement Learning.

Publications

  • Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao "LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks", International Joint Conference on Artificial Intelligence (IJCAI 2024) Demonstrations, August 2024. [paper] [code] [project] [bibtex] @article{nguyen2024langxai,
    title={LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks},
    author={Nguyen, Truong Thanh Hung and Clement, Tobias and Nguyen, Phuc Truong Loc and Kemmerzell, Nils and Truong, Van Binh and Nguyen, Vo Thanh Khang and Abdelaal, Mohamed and Cao, Hung},
    journal={arXiv preprint arXiv:2402.12525},
    year={2024}
    }
  • Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Tuong Phan, Hung Cao. "Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer", The 37th Canadian Conference on Artificial Intelligence (Canadian AI 2024), May 2024. [paper][code] [bibtex] {@article{nguyen2024efficient,
    title={Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer},
    author={Nguyen, Quoc Khanh and Nguyen, Truong Thanh Hung and Nguyen, Vo Thanh Khang and Truong, Van Binh and Phan, Tuong and Cao, Hung},
    journal={arXiv preprint arXiv:2404.13417},
    year={2024}
    } }
  • Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao. "Towards Better Explanations for Object Detection", The 15th Asian Conference on Machine Learning (ACML 2023), November 2023. [paper][code] [bibtex] { @InProceedings{pmlr-v222-truong24a,
    title = {Towards Better Explanations for Object Detection},
    author = {Truong, Van Binh and Nguyen, Truong Thanh Hung and Nguyen, Vo Thanh Khang and Nguyen, Quoc Khanh and Cao, Quoc Hung},
    booktitle = {Proceedings of the 15th Asian Conference on Machine Learning},
    pages = {1385--1400},
    year = {2024},
    editor = {Yanıkoğlu, Berrin and Buntine, Wray},
    volume = {222},
    series = {Proceedings of Machine Learning Research},
    month = {11--14 Nov},
    publisher = {PMLR},
    pdf = {https://proceedings.mlr.press/v222/truong24a/truong24a.pdf},
    url = {https://proceedings.mlr.press/v222/truong24a.html},
    }
    } }
  • Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang, Huy Hoan Le, Ton Bao Ho, Vo Thanh Khang Nguyen, Truong Thanh Hung Nguyen "Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations", preprint arXiv:2402.12179, February 2024. [paper] [bibtex] @article{ngo2024examining,
    title={Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations},
    author={Ngo, Dinh An and Nguyen, Thanh Dat and Dang, Thi Le Chi and Le, Huy Hoan and Ho, Ton Bao and Nguyen, Vo Thanh Khang and Nguyen, Truong Thanh Hung},
    journal={arXiv preprint arXiv:2402.12179},
    year={2024}
    }
  • Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao, Quoc Khanh Nguyen, Hung Cao "Enhancing the Fairness and Performance of Edge Cameras with Explainable AI", IEEE 42nd International Conference on Consumer Electronics (ICCE 2024), January 2024. [paper] [bibtex] @inproceedings{nguyen2024enhancing,
    title={Enhancing the Fairness and Performance of Edge Cameras with Explainable AI},
    author={Nguyen, Truong Thanh Hung and Nguyen, Vo Thanh Khang and Cao, Quoc Hung and Nguyen, Quoc Khanh and Cao, Hung and others},
    booktitle={2024 IEEE International Conference on Consumer Electronics (ICCE)},
    pages={1--4},
    year={2024},
    organization={IEEE}
    }
  • Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao "XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection", IEEE 42nd International Conference on Consumer Electronics (ICCE 2024), January 2024. [paper] [code] [bibtex] @inproceedings{clement2024xai,
    title={XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection},
    author={Clement, Tobias and Nguyen, Truong Thanh Hung and Abdelaal, Mohamed and Cao, Hung},
    booktitle={2024 IEEE International Conference on Consumer Electronics (ICCE)},
    pages={1--4},
    year={2024},
    organization={IEEE}
    }
  • Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja "Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction", Australasian Joint Conference on Artificial Intelligence (AJCAI 2023), December 2023. [paper] [bibtex] @inproceedings{clement2023coping,
    title={Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction},
    author={Clement, Tobias and Nguyen, Hung Truong Thanh and Kemmerzell, Nils and Abdelaal, Mohamed and Stjelja, Davor},
    booktitle={Australasian Joint Conference on Artificial Intelligence},
    pages={147--159},
    year={2023},
    organization={Springer}
    }
  • Truong Thanh Hung Nguyen, Van Binh Truong, Vo Thanh Khang Nguyen, Quoc Hung Cao, Quoc Khanh Nguyen "Towards Trust of Explainable AI in Thyroid Nodule Diagnosis", AAAI 2023 The 7th International Workshop on Health Intelligence (W3PHIAI-23), February 2023. [paper] [code] [bibtex] @inproceedings{nguyen2023towards,
    title={Towards trust of explainable ai in thyroid nodule diagnosis},
    author={Nguyen, Truong Thanh Hung and Truong, Van Binh and Nguyen, Vo Thanh Khang and Cao, Quoc Hung and Nguyen, Quoc Khanh},
    booktitle={International Workshop on Health Intelligence},
    pages={11--26},
    year={2023},
    organization={Springer}
    }
  • Truong Thanh Hung Nguyen, Van Binh Truong, Vo Thanh Khang Nguyen, Quoc Hung Cao, Quoc Khanh Nguyen "Understanding minerals better: Advancing mineral classification framework through explainable AI and large language model integration", Quy Nhon University Journal of Science, 2023. [paper] [bibtex] @article{nguyenunderstanding, title={Understanding minerals better: Advancing mineral classification framework through explainable AI and large language model integration}, author={Nguyen, Truong Thanh Hung and Truong, Thi Cam Mai} }
  • Phong X Nguyen, Hung Q Cao, Khang VT Nguyen, Hung Nguyen, Takehisa Yairi "Secam: Tightly accelerate the image explanation via region-based segmentation", IEICE TRANSACTIONS on Information and Systems, 2022. [paper] [bibtex] @article{nguyen2022secam,
    title={Secam: Tightly accelerate the image explanation via region-based segmentation},
    author={Nguyen, Phong X and Cao, Hung Q and Nguyen, Khang VT and Nguyen, Hung and Yairi, Takehisa},
    journal={IEICE TRANSACTIONS on Information and Systems},
    volume={105},
    number={8},
    pages={1401--1417},
    year={2022},
    publisher={The Institute of Electronics, Information and Communication Engineers}
    }
  • Truong Thi Cam Mai, Truong Thanh Hung Nguyen "Construction of molecular structures using K-Nearest Neighbor with K-Dimension tree algorithm", Quy Nhon University Journal of Science, 2022. [paper]
  • Phong Nguyen, Matsuba Hiroya, Tejdeep Hunabad, Dmitrii Zhilenkov, Hung Nguyen, Khang Nguyen "Can reinforcement learning solve a Human Allocation Problem?", The International Conference on Automated Planning and Scheduling (ICAPS 2021) PRL Workshop, June 2021. [paper] [bibtex] @article{nguyen2021can,
    title={Can reinforcement learning solve a Human Allocation Problem?},
    author={Nguyen, Phong and Hiroya, Matsuba and Hunabad, Tejdeep and Zhilenkov, Dmitrii and Nguyen, Hung and Nguyen, Khang},
    year={2021}
    }
  • Hung Truong Thanh Nguyen, Hung Quoc Cao, Khang Vo Thanh Nguyen, Nguyen Dinh Khoi Pham "Evaluation of Explainable Artificial Intelligence: SHAP, LIME, and CAM", FAIC Conference 2021, December 2021. [paper] [bibtex] @inproceedings{nguyen2021evaluation,
    title={Evaluation of explainable artificial intelligence: Shap, lime, and cam},
    author={Nguyen, Hung Truong Thanh and Cao, Hung Quoc and Nguyen, Khang Vo Thanh and Pham, Nguyen Dinh Khoi},
    booktitle={Proceedings of the FPT AI Conference},
    pages={1--6},
    year={2021}
    }
  • Hung Truong Thanh Nguyen "Analyzing and visualizing chemical molecular properties using K-Dimensional tree algorithm", Bachelor Thesis, Frankfurt University of Applied Sciences, 2020. [paper] [bibtex] @phdthesis{hung2020analyzing,
    title={Analyzing and visualizing chemical molecular properties using K-dimension tree algorithm},
    author={Hung, Nguyen Truong Thanh},
    year={2020}
    }

Academic Services

Conference Reviewer

Canadian AI Conference 2024

Journal Reviewer

IGI Global Book Chapter – Navigating the Circular Age of a Sustainable Digital Revolution
IET Smart Cities

Honors and Awards

Best Presentation Award at the IEEE 42nd International Conference on Consumer Electronics (ICCE 2024)
Best Contribution Award at the IEEE 42nd International Conference on Consumer Electronics (ICCE 2024)
Best Runner-up Paper Award at the Australasian Joint Conference on Artificial Intelligence 2023 (AJCAI 2023)
DAAD Scholarship for Master Studies in Germany (2021-2023)
DAAD Scholarship for Exchange Bachelor Studies in Germany (2016-2020)