.- Invited Talks
.- An Algebraic Approach for Linguistic Information Discovery and Human Like Decision Making.
.- Social Multimodal Intelligence: From Human Understanding to Social Understanding and Decision Making.
.- The Relationship between Tensor Factorizations and Circuits.
.- Adaptive Resonance Theory-based Clustering and its Extensions.
.- The Rising Threat of Voice Spoofing: Evolution of Detection in the Era of AI-Generated Speech.
.- Some Topics on Fundamentals of Data Science.
.- Machine Learning
.- ResUNet50-ASPP: Transfer Learning with Multi-Scale Context for Semantic Segmentation of Mesenchymal Stem Cell Micrographs.
.- HIQI-MLP: Hybrid Interlaced Quantum-Izhikevich Multilayer Perceptron.
.- U2Net: A Unified Uncertainty-Guided Network with Evidential Deep Learning for Robust Building Extraction from High-Resolution Remote Sensing Images.
.- Temporal Transformer Backbones for Offline Imitation Learning.
.- FROG: Fuzzy Reasoning Over Graphs for Robust Visual Question Answering.
.- Evidential Explanation Fusion: A Dempster-Shafer Framework for Reconciling Feature Attributions.
.- Parallel CNN-Transformer with Adaptive Vector Fusion for Malware Image Classification.
.- FLARE: Forward-only Local Learning via Anticipatory Residual Eligibility for Spiking Neural Networks.
.- A Multimodal Deep Learning Framework for Breast Cancer Receptor Status Prediction.
.- A Generalization of the Evidential Neural Network based on Θ-Contextual Discounting.
.- D-GDA: Dopamine-Gated Differential Attention for Time-Series Anomaly Detection.
.- Effects of Skeleton Gait Normalization and Dynamic Motion Features on Deep Learning Performance.
.- Hybrid Physics–Machine Learning Framework for Parameter Extraction in Hole-Only Devices.
.- Training-Free Geometric Rectification Framework for Extreme Few-Shot Satellite Image Classification.
.- Physics-Informed Neural Networks for Predicting Temperature Distribution and Crater Geometry of Single Discharge Spark in Electric Discharge Machining.
.- IPEM: Input Perturbation-based Explanation Method for Deep Learning Models on Image Data.
.- Security and Privacy in Machine Learning
.- A NIST-Aligned Post-Quantum Secure Aggregation Method for Federated Learning.
.- Energy-Aware Heterogeneous LoRA Federated Fine-Tuning for UAV-Assisted Remote Sensing.
.- Privacy-Preserving Multi-Source Forensic Evidence Fusion via Hybrid Homomorphic Encryption and Attention Mechanisms.
.- Towards Zero-Trust Digital Forensics: Automated Workflow Orchestration and Immutable Chain of Custody on Hyperledger Fabric.
.- A Hardware-Aware Multi-objective Design of 5-bit S-box Based on Piecewise and Coupled Chaotic Maps for Lightweight Cryptography.
.- A Lightweight and Tight-Binding Post-Quantum Authenticated Key Exchange for IoT using ML-KEM.
.- Combining Rules and Language Models: A Cascaded Multi-Stage Architecture for Phishing Email Detection.
.- Priv-ICF: A Novel Framework for Privacy-Preserving Item-Based Collaborative Filtering in Fully Distributed Data Model.
.- Fed-M3: Multi-Scale Nested Optimization for Non-IID Federated Learning.
.- Machine Learning Applications
.- Apply Causal Generative Neural Networks to Detection of Factors Causing Stroke.
.- A Study on Enhancing the Performance of Infant Cry Classification Models Using Generative AI.
.- Optimized CNN Architectures for Binary and Three-Class Chest X-ray Image Classification.
.- LaoSA: A Benchmark for Lao Sentiment Analysis.
.- A GCN–Based Positive–Unlabeled Learning Framework with k–Means Reliable Negative Mining for Drug–Disease Association Prediction.
.- Inductive Behavioral Graph Learning for Smart Contract Vulnerability Detection in Sustainable DeFi Ecosystems.
.- A Two-Level Major-Context Framework for Day-One Student Dropout Prediction Using Entrance Data.
.- Selective Intrusion Detection via Cost-Sensitive Three-Way Decision and Variational Autoencoders.
.- A Turn-Based Strategy Research Platform for AI Benchmark.
.- A Multi-Stage Retrieval-Augmented Generation Pipeline for Educational Question Answering on MOOC Platforms.
.- Detecting AI-Generated Vietnamese Essays with Calibrated Uncertainty and Explainable AI.
.- Enhanced CLIP-Based Model for VQA with Cross-Attention and Multimodal Fusion on the VizWiz Dataset.
.- DADA: A Domain-Adapted Autoencoder for Cell-Type Deconvolution in Pediatric T-ALL Liquid Biopsy.
.- Score-Level Contrastive Learning for Pure Item Cold-Start Recommendation.
.- Modeling Glucose–Insulin through PDE Formulated Diffusion Dynamics.
.- Conflict Across Coarsenings: A Hierarchical DST Diagnostic for ATC Drug Normalization.
.- EduBot4Cse: A Policy-Guided Multimodal RAG Framework for Vietnamese Comprehensive Sexuality Education.
