Articles
Vol. 1 No. 1 (2026): Computer Science and Engineering Transactions
Published:
2026-01-01
Articles
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Continual User Intent Learning for Adaptive Human–AI Interaction in Long-Term Conversational Systems
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Agentic AI for Automated Stress Testing and Financial Risk Scenario Analysis
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Adaptive Sparse Computation for Resource-Efficient Graph Learning
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A Blockchain-Based Secure Data Sharing Framework for Distributed Computing Environments
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Agentic Retrieval-Augmented Generation for Autonomous Research and Evidence-Grounded Decision Making
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AI-Based Congestion Prediction and Traffic Engineering for High-Performance Computing Interconnects
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Bayesian Flow-Based Peptide Design for Antimicrobial Resistance Mitigation and Therapeutic Discovery
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Molecular Mechanisms of Plant-Derived Polysaccharides in Regulating Ice Crystal Formation During Dough Freezing
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Digital Twin-Enabled Personalized Cardiovascular Risk Assessment Using Wearable Sensor Data
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AI-Assisted Microstructure Optimization of BaTiO₃ Ceramics for Ultrathin MLCC Applications
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Agentic Search Workflows for Efficient Large-Scale Document Retrieval
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A Privacy-Preserving Federated Learning Framework for Secure Distributed Artificial Intelligence Applications
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AI-Assisted Frequency Resource Management in Multi-Tenant Optical Networks
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A Survey of Large Language Models: Architectures, Applications, Challenges, and Future Directions
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Clock-Synchronized Optical Networks for Distributed Machine Learning Systems
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Computer Vision-Assisted Evaluation of Asphalt Pavement Cracking Based on Aggregate Distribution and Microstructural Characteristics
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Foundation Model-Based Physiological Signal Representation for Generalizable Wearable Health Applications
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Auto-Tuning Framework for Efficient Large Language Model Inference on Cloud Accelerators
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AI-Driven Optimization of Multilayer Ceramic Capacitor Materials for High-Frequency Electronics
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Generative World Models for Multi-Agent Coordination and Decision-Making in Complex Virtual Environments
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Causal Machine Learning for Personalized Recommendation of Bioactive Peptides in Aging-Related Disease Prevention
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AI-Enabled Metabolite Marker Discovery for Authentication and Quality Control of Herbal Medicines
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Adaptive Machine Learning Approaches for Intelligent Decision-Making in Complex Data Environments
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Cross-Modal Mamba Networks for Multimodal Brain Tumor Diagnosis Using MRI and Clinical Data
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Digital Twin-Assisted Post-Training for Autonomous Driving Validation in Complex Urban Scenarios
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Geospatially Conditioned Diffusion Models for Urban Environmental Exposure Mapping and Spatiotemporal Health Risk Prediction
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Communication-Efficient Two-Party Secure Computation for Deep Learning Inference
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Attention-Guided Multimodal Sensor Fusion for Continuous Cardiovascular Monitoring
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An Intelligent Internet of Things Architecture for Real-Time Monitoring and Predictive Analytics
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Edge AI Acceleration for Real-Time Graph Neural Network Inference
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Efficient Retrieval-Augmented Generation via Query-Adaptive Reranking and Lightweight Large Language Model Distillation
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Joint Singing Voice–Music Score Representation Learning for Multimodal Music Foundation Models
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Context-Aware Vital Sign Estimation Using Multimodal Wearable Sensing
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Personalized Conversational Search with Large Language Models for Long-Term User Preference Modeling
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Deep Learning-Based Network Intrusion Detection: A Comprehensive Framework for Cybersecurity Enhancement
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GPU Kernel Optimization for Efficient Sparse Attention and Top-K Selection in Large Language Models
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Energy-Aware Scheduling of Collaborative AI Agents for Efficient Edge Computing and Internet of Things Applications
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Large Language Model-Based User Modeling for Intelligent Customer Service and Query Routing
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Curriculum Reinforcement Learning for Progressive Complex Reasoning in Large Language Models
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Personalized Singing Voice Generation via Singing Style Transfer and Voice Cloning
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Efficient Resource Management for Edge Computing Systems Using Reinforcement Learning Techniques
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Hardware-Accelerated Privacy-Preserving Neural Network Inference via Efficient Activation Design
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Energy-Efficient Privacy-Preserving Neural Networks for Resource-Constrained IoT Devices Using Secure Computation
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Explainable Artificial Intelligence for Reliable and Transparent Decision Support Systems
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Hardware-Aware Graph Neural Network Acceleration on Modern GPUs
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Frequency-Decoupled Diffusion for Robust Image-to-Image Translation Under Complex Lighting Conditions
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Machine Learning-Guided Optimization of Thin-Film Processing Parameters for Advanced Functional Ceramics
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Graph-Based Reasoning Path Optimization for Knowledge-Intensive Language Understanding
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Privacy-Aware Computer Vision for Ambient Assisted Living: Balancing Older Adults’ Autonomy, Safety, and Trust
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Intelligent Wavelength and Frequency Assignment in Elastic Optical Networks
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Transformer-Based Singing Voice Separation and Pitch Estimation in Complex Musical Scenes
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Optimization of Cloud Computing Resource Allocation Through Artificial Intelligence-Based Scheduling Algorithms
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Knowledge-Enhanced Vision-Language Models for Accurate Image Understanding
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Graph Neural Network-Based Traffic Prediction and Topology Optimization for Optical Data Center Networks
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Multilingual Semantic Search and Personalized Content Recommendation for Global Digital Platforms
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Multimodal Emotion-Aware Preference Modeling for Personalized Dialogue Generation
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LLM-Driven Adaptive Student Support and Internationalization Strategies in Higher Education: A Reinforcement Learning Approach
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Uncertainty-Aware Deep Learning for Reliable Cardiovascular Monitoring Under Physical Activity
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Software Defect Prediction Using Hybrid Machine Learning Models: A Data-Driven Approach
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Large Language Model-Based Recommendation of Peptide Candidates for Age-Related Disease Research
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Graph-Augmented Retrieval and Uncertainty Estimation for Explainable Scientific Question Answering
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Multimodal Sensor Fusion for Robust Cardiovascular Monitoring in Wearable Healthcare Devices
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Machine Learning-Enabled Performance Optimization of Wavelength-Switched Networks
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Long-Context Memory Retrieval for Efficient Knowledge Integration in Large Language Models
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Learning-Based Graph Partitioning and Incremental Formal Verification for Scalable Optimization of Large-Scale Digital Circuits
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Memory-Efficient GNN Training via Adaptive Graph Data Layouts
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Machine Learning-Based Performance Modeling for Efficient Large Language Model Serving
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Memory-Augmented Vision-Language Models for Context-Aware Autonomous Driving in Dynamic Environments
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Quantum-Safe Communication Architecture for Synchronized Optical Data Center Interconnects
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Multimodal Large Language Agents for Real-World Interactive Applications
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Memory-Augmented LLM Agents for Long-Term Personalized Decision Making
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Multi-Agent Credit Scoring with Dynamic Trust Calibration
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Self-Evolving LLM Agents for Automated Software Engineering Through Reinforcement Learning and Execution Feedback
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Multimodal Learning for Robust Trajectory Prediction under Diverse Autonomous Driving Scenarios
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Personalized Retrieval-Augmented Generation for User-Aware Conversational Recommendation Systems
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Multi-Objective Alignment of Small Language Models for Accuracy, Safety, and Efficiency
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Self-Supervised Post-Training for Robust End-to-End Vehicle Control
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Multimodal Artificial Intelligence for Early Detection of Cardiometabolic Risk Using Wearable Data
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Sparse Matrix Processing for High-Performance Graph Neural Networks
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Multimodal Sensor Fusion Optimization through Post-Training for Autonomous Vehicles
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Multiscale Modeling of BaTiO₃-Based Dielectric Materials for Miniaturized Electronic Devices
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Reinforcement Learning with Process-Level Feedback for Efficient Mathematical Reasoning in Small Language Models
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Self-Improving Reasoning Agents via Reinforcement Learning and Iterative Feedback