Final Program
Opening session
Keynote 1: Prof. Dejing Dou
Fudan University, China Tsinghua University, China
Keynote 2: Prof. Guangyi Liu
China Mobile Communication Corporations, China
Coffee Break
Session1（Large Language Models & Recommendation systems）
Multi-Scale Semantic Reprogramming for Time Series Forecasting with Large Language Models ChunkPassGPT: A Chunk-Level Pattern- Guided Generative Password Guessing Model ClusLazyFR: An Efficient Federated Recommendation Scheme via User Clustering and Lazy Aggregation RPDP-Guard: Defending Large Language Models Against Jailbreaking Attacks Through Risk Perception and Dynamic Prompting An External Knowledge Enhanced Multimodal Method for Improving Chinese Spelling Correction
Session2（Large Language Models & Recommendation systems）
Unsupervised Log Parsing with Retrieval-Augmented LLMs: Eliminating Manual Templates for Efficient Anomaly Detection AQFM: An Automatic Question Answering Framework Based on the Collaboration of Low-Parameter LLMS Enhanced Spoofing Speech Detection with Self-Supervised Feature Extraction and Multi-Expert Models Multimodal Knowledge-enhanced Sequence Modeling Method for Conversational Recommender Systems A^3LLM: A Novel Large Language Model-based Method For Attack Alert Analysis
Lunch
Session 3 (Deep Learning and application)
JIT-Coka: An Improved Framework for Just-in-Time Defect Prediction and Localization Using Fused Features of Code Change Multi-Stage Fuzzy Job Scheduling in Collaborative Heterogeneous Clouds via a Hybrid NSGA-II and Deep Reinforcement Learning Approach HybCompress-MARL:Hybrid Model Compression with Multi-agent Reinforcement Learning for CNN DentSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs Structure-Guided Update of Dynamic Graphs under Local Differential Privacy TS-EWM: An End-to-end Speech Watermarking Scheme Based On Multimodal Multi-branch Decoder And Multi-sensory Orthogonal Projection Gradient Optimization
Session 4 (Deep Learning and application)
RL-Based Test Case Prioritization with LSTM-Attention Reward Function iPPGYdrNet: HR Extraction under Motion and Occlusion Conditions SimAECLR: A Contrastive Learning Approach with Autoencoder for ECG Signals Classification under Limited Labeled Data MobileRehab: Smartphone-Based Rehabilitation Monitoring Using Active Acoustic Sensing Cross-Modal Medical Image Translation based on Adversarial Diffusion Model FDIF: Improving Multimodal Sentiment Analysis via Feature Disentanglement and Interaction Fusion A Time Flow Neural Network For Solving Time-Varying Steady-State Maximum Flow Problem
Coffee Break
Session 5 (Deep Learning and application)
RGMN: Residual-Gated Multimodal Network for Android Malware Detection via Configuration Text and Three-Channel Image Chinese Spelling Correction via Fine-Grained Multi-Feature Fusion Multi-task learning and Multi-Scale Time series Fusion for Unexpected Refusal Prediction in Online Booking Services CDConvNet: Context-aware Convolutional Network with Dynamic Weight for Time Series Forecasting
Session 6 (Deep Learning and application)
SAS-MDA: Subjects-Affinity-Strength-Grouping Based Multisource Domain Adversarial Network for Cross-Subject EEG Emotion Recognition MultiDepNet: Integrating Semantic Dependency and Multimodal Complementary Information to Enhance Multimodal Depression Estimation Towards Online Surround-view System Calibration for Autonomous Driving Crossformer-based Bandwidth Prediction for Multipath Video Streaming
Welcome banquet
Session 7（Federated Learning & Collaborative working）
Session7（Federated Learning & Collaborative working） 8:30 – 10:30 A Data Fusion Processing Architecture for Multi-Node Network Cooperative Integrated Sensing and Communication Robustness Analysis of Multi-layer LEO Satellite Networks with Dynamic Heterogeneous Cascading Failure Model AC-KVS: Adaptive Centralized Key-Value Scheduler in Programmable Switch for Distributed Key-value Stores FedSTAR: A Federated Learning Framework for Reliable Trajectory Prediction under Spatiotemporal Heterogeneity A Hierarchical Model of Trusted Federation Based on Adaptive Mutual Learning A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
Session 8（Federated Learning & Collaborative working）
Correlation Aware Imbalanced Multimodal Fusion in IoT Environment Trust-Aware UAV-Vehicle Hierarchical Collaboration for Efficient Multimedia Big Data Collection PVA-FL: Practical Verifiable Aggregation for Privacy-Preserving Federated Learning H2A-BPMN: A Hierarchical & Hybrid Agent Framework for Industrial BPMN Automated Modeling LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning FedUPC: Heterogeneous Federated Learning with Unbiased Prototype Alignment and Global Classifier Sharing
Coffee Break
Session 9 (Edge computing & Task scheduling)
A Hybrid Case-Based Reasoning and Adaptive Kalman Filter Model for Task Offloading Cost Estimation in Heterogeneous IoT Environments CPRGO : Delay-Aware Task Scheduling Strategy for Edge-Cloud Continuum in Multi-Hop Network Environments Partial Pairwise Preference-Driven Task Allocation in Volunteer Crowd sourcing A deep matrix completion method for recovering edge collaborative sensing data in the Internet of Vehicles
Session 10（Edge computing & Task scheduling）
Lunch
Session 11 (Security and Blockchain applications)
MVTest: Automated Metamorphic Testing of Multi-View Perception Systems Cyber-Attack Detection in Federated Learning: A Bidirectionally Secure and Verifiable Architecture GANBFL: A Reliable Incentive Mechanism for Federated Learning via GAN Based Evaluation and Blockchain Integration A Review of Hardware Accelerated Design and Optimization Techniques for Reconfigurable Cryptosystems EBTM: Web Vulnerability Attack Behavior Recognition Method Based on Feature Fusion CLCBA: A Secure and Efficient Identity Authentication Scheme for Cross-Chain Interoperability A Cross-Chain Key Agreement and Regulatory Governance Framework Based on Peninsula Group Permutation Rational Functions
Session 12 (Anomaly Detection)
SkyPatrol: Aerial Peer Perspective Vision based Anomalous UAV Recognition A Novel Dynamic Spatio-Temporal Collaborative Model for Multivariate Time Series Anomaly Detection Topology-enhanced Graph Attention Network for Anomaly Detection in IIoT Domain An Adversarial Detection and Defense Method based on Neural Discrete Representation MemGT: Memory-augmented Graph Transformer based Unsupervised Model for Collaborative Internet of Things Anomaly Detection Multi-scale Time frequency Collaborative Feature Learning for Unsupervised Anomaly Detection in Fluctuating IoT Time Series
