Full Program

Time	Event	Room
Day 1 – 15 November 2024
	Registration	Xizha Tourist Service Center of Wuzhen
Day 2 – 16 November 2024
8:30 – 8:45	Opening session	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
9:00 – 10:00	Keynote 1: Prof. Kaizhu Huang – Robust Adversarial Training Improves Trustworthy Artificial Intelligence Keynote 2: Prof. Xiaofeng Tao – Full-sensing Holographic Immersive Communications	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
10:00	Coffee Break
10:30 – 12:00	Session 1 (Edge computing & Task scheduling) Latency-Energy aware Heterogeneous Resource Allocation and Task Scheduling in Industrial Cloud-Edge Computing Backpressure-based Federated Learning Model Scheduling in Edge Computing Minimizing the Age of Knowledge in Application-oriented Mobile Edge Computing System with DRL-based Scheduling Dependency-Aware Task Offloading in Dynamic Network Environment with D2D Collaboration Delay Minimization for Downlink PD-NOMA Transmission with Index Coding in Cache-Aided Wireless Networks Fast Adaptive Caching Algorithm for Mobile Edge Networks Based on Meta-Reinforcement Learning	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
10:30 – 12:00	Session 2 (Edge computing & Task scheduling) Delay-and Cost-Aware Dynamic Service Migration in Collaborative Satellite Computing Towards Efficient Scheduling in Large Clusters Leveraging the Small-World Network Model A Dynamic Prioritization Task Offloading Strategy with Delay Constraints Task Scheduling Strategy among Multiple Local Mobile Clouds in Pervasive Edge Computing A Task Scheduling Strategy Based on Computing-Aware and Multi-Agent Collaborative Services in Pervasive Edge Computing Collaborative Vehicular Edge Cloud Computing Task Offloading Optimization Scheme Based on Deep Reinforcement Learning	ROOM B: Di Shang Resort Hotel Xi Zha Halls 堤上西栅厅
12:00 – 13:30	Lunch
13:30 – 15:50	Session 3 (Deep Learning and application) NL-ATD: Spatio-Temporal Few-Shot Learning via Attention Transfer and Denoising Model A GCN-based DRL Approach for task migration and resource allocation in Heterogeneous Edge-Cloud Environments A Multi-Document Summarization Method for Customer Feedback Based on Large Language Models KaRe: Towards Flexible and Effective Machine Unlearning with Knowledge Alignment and Repair SWGCNN-BiLSTM: A Method for Detecting Unknown Attack Traffic within Imbalanced Samples Two-stage workflow scheduling based on deep reinforcement learning GRASP-SLAM: Gmapping-augmented DRL for Active SLAM using Policy gradient	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
13:30 – 15:30	Session 4 (Deep Learning and application) WiLDID: Low-Collaboration WiFi-Based Person Identification Via A Lightweight Deep Neural Network Dialogue Summarization by Integrating Structural Features and Improving Factual Consistency through Post-Editing TransAware: An Automatic Parallel Method for Deep Learning Model Training with Global Model Structure Awareness A Reliability Enhancement Scheme for Distributed Cloud Service Systems Based on Deep Reinforcement Learning Contrastive Learning-Based Finger-Vein Recognition Using Frequency-Mixup Augmentation and Time-Frequency Feature Fusion BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction	ROOM B: Di Shang Resort Hotel Xi Zha Halls 堤上西栅厅
15:30	Coffee Break
16:00 – 17:20	Session 5 (Blockchain applications) Enabling Authenticated Query Services on Multi-Dimensional Data in Collaborative Blockchain ORIC-Shard: A Scalable Blockchain Network with Sharding A blockchain-based approach to precise accountable resource sharing On and Off-chain Load Balancing Model Based on Stackelberg Game	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
15:40 – 17:20	Session 6 (Security and Privacy Protection) A Large-Scale Pretrained Model for Malicious URL Detection CCAuth: Elevating Privacy and Security Elegance in a Continuous Covert Authentication Dance svRDMA: Securing an RDMA Network in Virtualization Environments S-TSG: Description Model of Transient Execution Attacks in Intel SGX FRBFT: A BFT Consensus Protocol Supporting Fault Removal for Industrial Internet of Things	ROOM B: Di Shang Resort Hotel Xi Zha Halls 堤上西栅厅
17:30	Welcome banquet
Day 3 – 17 November 2024
8:30 – 10:30	Session 7 (Representation learning & Collaborative working) KAN-PPO: A Fast Convergence and Stable Proximal Policy Optimization Powered by Kolmogorov-Arnold Network ComplexAgents: Complex Code Generation Framework Based on Multi-Agents and Large Language Model Enhancing Molecular Property Prediction with Dual-Level Representation Learning Multi-Level Representation Learning with Neural Hawkes Process for Information Diffusion Prediction IoT-ILDI: Incremental Learning for Device Identification in IoT Worker-Quality Adaptive Task Assignment in Collaborative Crowdsourcing	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
8:30 – 10:30	Session 8 (Representation learning & Collaborative working) Towards Efficient Collaborative Data Transmission in JointCloud: A Dynamic Chunking Mechanism Critical Nodes Detection for Wireless Sensor Networks Based on Multi-Objective Optimization A Two-step Data Augmentation Method for Cross-lingual Sentiment Classification Load Balance Oriented Incentive Algorithm for Collaborative Scheduling on Intra-vehicle and Inter-vehicle An Enhanced STAR-RIS Air-Space Integrated Network with Collaborative Task Offloading FaCa: Fast Aware and Competition-Avoided Balancing for Data Center Network	ROOM B: Di Shang Resort Hotel Xi Zha Halls 堤上西栅厅
10:30	Coffee Break
10:40 – 12:20	Session 9 (Graph neural networks & Recommendation systems) Time-aware Recommendations with Motif-Enhanced Graph Learning Spatial-Temporal Graph Attention Networks Based on Novel Adjacency Matrix For Weather Forecasting Repository-Level Code Generation Method Enhanced by Context-Dependent Graph Retrieval DGSR: Dual-Graph Sequential Recommendation with Gated and Heterogeneous GNNs Disentanglement-enhanced User Representation via Domain-level Clusters for Cross-Domain Recommendation	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
10:40 – 12:00	Session 10 (Graph neural networks & Recommendation systems) Adaptive Web API Recommendation via Matching Service Clusters and Mashup Requirement Multi-channel Heterogeneous Graph Transformer based Unsupervised Anomaly Detection Model for IoT Time Series CBR-FIF: A Novel Dynamic Graph Node Embedding Computation Framework KG-ASI: A Knowledge Graph Enhanced Model-based Retriever for Document Retrieval	ROOM B: Di Shang Resort Hotel Xi Zha Halls 堤上西栅厅
12:00	Lunch
13:30 – 14:50	Session 11 (Federated Learning and application) Free-rider Attack Based on Data-free Knowledge Distillation in Federated Learning Client-Oriented Energy Optimization in Clustered Federated Learning with Model Partition FedUDA: Towards a Novel Unfairness Distribution Attack against Federated Learning Models Mal-GAT: A Method to Enhance Malware Traffic Detection with Graph Attention Networks	ROOM A: Di Shang Resort Hotel Dong Zha Halls 堤上东栅厅
13:30 – 14:30	Session 12 (Federated Learning and application) A Federated Learning Framework with Blockchain and Cache Pools for Unreliable Devices in a Cloud-Edge-End Environment Model Similarity based Clustering Federated Learning in Edge Computing A Privacy-Preserving Edge Caching Algorithm Based on Permissioned Blockchain and Federated Reinforcement Learning	ROOM B: Di Shang Resort Hotel Xi Zha Halls 堤上西栅厅
14:30	Coffee Break & Closing Ceremony

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