Research
Publications 38 papers and preprints
Peer-reviewed papers and preprints by the Parxyz team, spanning clinical AI, mental health, aging in place, and the explainable, contestable and edge AI our products are built on.
2026
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Self-Evolving Human-Centered Framework for Explainable Depression Symptom AnnotationIEEE International Conference on Omni-Layer Intelligent Systems (COINS)
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Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis39th Canadian Conference on Artificial Intelligence (Canadian AI)ScholarClinical AI
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Geometry-anchored PET-aware Multimodal Pseudo-CT Synthesis for Whole-Body Attenuation Correction: the BIC-MAC ChallengeBig Cross-Modal Attenuation Correction (BIC-MAC) Challenge at MICCAIScholarClinical AI
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Neuro-Symbolic Adaptive Collaboration of Arena-Based Argumentative LLMs for Contestable Legal Reasoning39th Canadian Conference on Artificial Intelligence (Canadian AI)
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Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia VerificationInternational Conference on Multimedia Retrieval (ICMR)
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Self-Evolving Multimedia Verification through Memory Consolidation of Contestation ExperiencesarXiv preprint arXiv:2609.27175
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Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical StudyInternational Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA)
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Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification3rd International Conference of Resilience by Technology and Design (RTD)ScholarMulti-agent & LLMs
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Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework39th Canadian Conference on Artificial Intelligence (Canadian AI)ScholarExplainable & contestable AI
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SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search41st ACM/SIGAPP Symposium on Applied Computing (SAC)ScholarEdge & federated AI
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Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem41st ACM/SIGAPP Symposium on Applied Computing (SAC)
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Toward a Unified Geospatial Intelligence Framework Utilizing Edge Computing, IoT, and Multimodal Generative AI for Climate Risk Mitigation and Adaptive Evacuation PlanningThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2025
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Motion2Meaning: A Clinician-Centered Framework for Contestable LLM in Parkinson's Disease Gait Interpretation9th International Symposium on Chatbots and Human-Centred AI (CONVERSATIONS)
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XEdgeAI: A Human-Centered Industrial Inspection Framework with Data-Centric Explainable Edge AI ApproachInformation Fusion, vol. 116, 102782
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ODExAI: A Comprehensive Object Detection Explainable AI Evaluation48th German Conference on Artificial Intelligence (KI)ScholarExplainable & contestable AI
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XGD: Explainable AI-Guided Knowledge Distillation with Feature Refinement for Semantic Segmentation38th Canadian Conference on Artificial Intelligence (Canadian AI)
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Multimedia Verification Through Multi-Agent Deep Research Multimodal Large Language ModelsACM International Conference on Multimedia (ACM MM), pp. 14034-14040ScholarMulti-agent & LLMs
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SimInterview: Transforming Business Education through Large Language Model-Based Simulated Multilingual Interview Training SystemInternational Conference on Economics, Finance, and Management (ICEFM)ScholarMulti-agent & LLMs
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Graffiti Detection Efficient Design with Comprehensive EvaluationUNB Computer Science Research ExpositionScholarEdge & federated AI
2024
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Deciphering the Heartbeat: Towards an Explainable AI Approach using ECG Signals for Exploring Aging-in-Place IntelligenceUNB Computer Science Research Exposition
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LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception TasksInternational Joint Conference on Artificial Intelligence (IJCAI)
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Towards Better Explanations for Object DetectionAsian Conference on Machine Learning (ACML), pp. 1385-1400ScholarExplainable & contestable AI
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Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer37th Canadian Conference on Artificial Intelligence (Canadian AI)
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MACeIP: A Multimodal Ambient Context-Enriched Intelligence Platform in Smart CitiesIEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)
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XAI-Enhanced Semantic Segmentation Models for Visual Quality InspectionIEEE International Conference on Consumer Electronics (ICCE)ScholarExplainable & contestable AI
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Enhancing the Fairness and Performance of Edge Cameras with Explainable AIIEEE International Conference on Consumer Electronics (ICCE)
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Examining Monitoring System: Detecting Abnormal Behavior in Online ExaminationsarXiv preprint arXiv:2402.12179
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Educational Technology and Responsible Automated Essay Scoring in the Generative AI EraNavigating the Circular Age of a Sustainable Digital Revolution, pp. 325-356 (book chapter)ScholarMulti-agent & LLMs
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Temporal Point Processes for Business Process MonitoringQuy Nhon University Journal of Science
2023
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Towards Trust of Explainable AI in Thyroid Nodule DiagnosisHealth Intelligence Workshop (W3PHIAI) at AAAI, pp. 11-26
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Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption PredictionAustralasian Joint Conference on Artificial Intelligence (AJCAI), pp. 147-159
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Understanding Minerals Better: Advancing Mineral Classification Framework through Explainable AI and Large Language Model IntegrationQuy Nhon University Journal of ScienceScholarExplainable & contestable AI
2022
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SeCAM: Tightly Accelerate the Image Explanation via Region-Based SegmentationIEICE Transactions on Information and Systems, 105(8), pp. 1401-1417ScholarExplainable & contestable AI
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Construction of Molecular Structures using K-Nearest Neighbor with K-Dimension Tree AlgorithmQuy Nhon University Journal of Science
2021
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Evaluation of Explainable Artificial Intelligence: SHAP, LIME, and CAMProceedings of the FPT AI Conference (FAIC), pp. 1-6ScholarExplainable & contestable AI
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A Novel Explainable Artificial Intelligence Model in Image Classification ProblemProceedings of the FPT AI Conference (FAIC)ScholarExplainable & contestable AI
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Can Reinforcement Learning Solve a Human Allocation Problem?International Conference on Automated Planning and Scheduling (ICAPS), Workshop
2020
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Analyzing and Visualizing Chemical Molecular Properties using K-Dimensional Tree AlgorithmB.Sc. thesis, Frankfurt University of Applied Sciences / Vietnamese-German University
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