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
Session 1（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
Session 2（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
Social Activity - Cruise Tour
Coach Transfer Qingsongcheng Hotel → Shiliupu Cruise Terminal (19:20)
Huangpu River Cruise (20:20)
The cruise event will be cancelled due to force majeure, including weather, port operational disruptions, maritime control, epidemic, and other factors.
To secure event entry, all attendees must complete real-name registration by November 1, 2025. Registered details must match their valid ID.
Session 7（Federated Learning & Collaborative working）
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)
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）
DCPS: A Novel Community-Interest-Aware Centralized Resource Scheduling Method for Cooperative MEC Caching
Adaptive Multi-Objective Task Scheduling for K3s-Enabled UAV Swarms
Adaptive Multi-Resource Orchestration for Latency-Critical Service Function Chains in Mobile Edge Networks
Joint Model Deployment and Task Offloading with Load Balancing for DNN Inference in Vehicular Edge Computing
A Cross-Chain Key Agreement and
Regulatory Governance Framework Based on Peninsula Group Permutation Rational
Functions.
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
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
