Final Program
Registration & Opening session
Keynote talk: Posco Fung Po Tso, Professor of Networks and Systems, Department of Computer Science, Loughborough University, UK
Coffee Break
Keynote talk: TBC
Lunch
Technical Session 1 - LLMs, Agents & Collaborative Intelligence
AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum
Cognitive Reflection Chain: Two-Stage Collaborative Correction for LLM Reasoning
CoGRAID: Collaborative Grounding with Active Interactive Disambiguation over a Dynamic Knowledge Graph
Reinforcement Learning-based Dynamic Evaluation and Quality Optimization for Large Code Models
Multimodal RAG for Dermatology VQA with Multi-Aspect Retrieval and High-Frequency Enhancement
Technical Session 2 — Security & Privacy Protection
SegPSM: Structural Segmentation for Interpretable Password Strength Modeling
SegPSM: Structural Segmentation for Interpretable Password Strength Modeling
SegPSM: Structural Segmentation for Interpretable Password Strength Modeling
DADBA: Data Augmentation-based Distributed Backdoor Attack in Federated Learning
LGBF: LLM-Guided Semantic Behavior Fusion for Malicious Package Detection in PyPI
EpiPlan: An Episodic-Memory-Driven Hierarchical Multi-Perspective Framework for Automated Penetration Testing
MPBitNet: A Mixed-Precision BitNet for Efficient Password Guessing
Coffee Break
Technical Session 3 - Federated Learning & Collaborative Learning
Federated Learning with Logit Calibrated Knowledge Distillation for Missing Classes
Heterogeneity-Aware Decentralized Federated Learning via Column-Wise Aggregation and Topology Evolution
FedIPE: A Federated Heterogeneous Feature Alignment Framework for Cross-Platform Information Propagation Evaluation
FedDual: Federated Dual-RoW Fine-Tuning with Cosine-based Client Grouping under Task Heterogeneity
Session 4 — Recommendation Systems & Knowledge Graphs
LLM-Based Explainable Recommendation with Semantic Modeling and Multi-View Alignment
Alleviating Modality Overshadowing in Multimodal Knowledge Graph Completion via Relation-Conditioned Fusion
From Training to Inference: Collaborative Signal-Driven Mitigation of Dual Inconsistencies in Generative Recommendation
Prompt‑Enhanced Multimodal Sequential Recommendation
One Strategy Does Not Fit All: LLM-Guided Acquisition Strategy Selection for Active Recommendation
Social Program and Gala dinner
Session 5 — Multimodal Learning, Vision & Medical AI
Focal Attention-Guided Knowledge Distillation for 3D Object Detection
Two-Stage Flow Matching with Multi-Representation Vascular Guidance for Fundus Image Generation
SICC: A Stacked-Image Collaborative Comprehension Framework for Harmful Meme Detection
QTAM: Bridging Classical Feature Extraction and Quantum Attention for Complex Image Classification
3WD-VLA: Hierarchical Three-Way Decision for Collaborative Dual-View Robotic Grasping
Session 6 — Robotics, Smart Environments & Human-AI Interaction
Edge-assisted Global Fusion and Path Planning for Multi-UAV Emergency Evacuation under Dynamic Obstacle Uncertainty
EChatML: An Agent-Supported System for Natural Language Construction of Machine Learning Models
SmartAuto: Personalized Collaborative Automation for Smart Homes with Ambiguous Requests and Evolving Preferences
EPGD: A Dataset for Event Process Graph Extraction from Procedural Text
EEG-Blink: A Real-Time Intention-Aware Interaction Framework for Blink-Based Control via Single-Channel EEG
Lunch
Session 7 — Edge Computing, Task Offloading & Scheduling
Priority-Driven Multi-Agent Reinforcement Learning for DAG Task Scheduling in Cloud-Edge Systems
User-Distribution and Server-Heterogeneity Aware Edge Data Distribution
PIQ: A Partition-Guided Initial-State Curriculum for Interaction-Efficient Q-Learning in UAV Grid Path Planning
HERO-DAG: Heuristic-Enhanced Graph Reinforcement Learning for Multi-Objective DAG Scheduling in Heterogeneous Edge-Cloud Environments
Damped Multi-Round Intent Coordination for Multi-Agent Task Offloading in Vehicular Edge Computing
Session 8 — Blockchain, IoT & Vehicular Collaborative Systems
PAFL: A Privacy-preserving Authenticated Federated Learning Framework for VANETs
A Cluster-Auction Algorithm for Joint Model Deployment and Task Offloading in Vehicular Edge Computing
Proxy-Free Fair and Fine-Grained Data Trading on Blockchain via Online/Offline Transformable Encryption
A Spatio-Temporal Driven Virtual-Physical Linkage and Digital-Model Collaborative Method for Industrial Control Systems
BindSelect: Binding Confidential Cross-Chain Plan Selection to Execution across Cloud Domains
Coffe Break
Session 9 — Efficient AI, Model Compression & Deployment
An Edge-Cloud Collaborative Learning for DNS Tunnel Detection via Graph-guided Mamba
MSAM: A Forecasting Model through Multi-Scale Attention Mamba on Multivariate Time SeriesC
Less but More: Concept-Aware Structured Pruning for Time Series Foundation Models
FlexShark: Maliciously Secure Mixed-Bitwidth Transformer Inference with Efficient Modulus Conversion
DDQA-APB: Semi-Supervised Breast Ultrasound Segmentation with Dual-Dimensional Quality Assessment and Adaptive Pseudo-Label Bank
Session 10 — Mobile, Vehicular & Edge Intelligence
FLAME: Achieving Fairness in Mobile Crowdsourcing Task Allocation via LLM-Driven Multi-Agent Collaboration
DT-NIC: A Secure Data Transmission Scheme for Intelligent Connected Vehicles under Narrowband Intermittent Communication
Mobility-Aware Multi-Agent Task Offloading for Freshness-Constrained Vehicular Edge Computing
A Sunk Cost and DRL-Based Long Term Incentive Mechanism in Vehicular Crowdsensing
Beyond FPS: Evaluating Deployment Validity on Heterogeneous Edge-AI Accelerators
