| Day 1 – 15 November 2024 |
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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 提上东栅厅 |
| 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 提上东栅厅 |
| 10:00 |
Coffee Break |
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| 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
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ROOM A: Di Shang Resort Hotel Dong Zha Halls 提上东栅厅 |
| 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
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ROOM B: Di Shang Resort Hotel Dong Xi Halls 提上西栅厅 |
| 12:00 – 13:30 |
Lunch |
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| 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
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ROOM A: Di Shang Resort Hotel Dong Zha Halls 提上东栅厅 |
| 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
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ROOM B: Di Shang Resort Hotel Dong Xi Halls 提上西栅厅 |
| 15:30 |
Coffee Break |
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| 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
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ROOM A: Di Shang Resort Hotel Dong Zha Halls 提上东栅厅 |
| 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
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ROOM B: Di Shang Resort Hotel Dong Xi Halls 提上西栅厅 |
| 17:30 |
Welcome banquet |
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| 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
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ROOM A: Di Shang Resort Hotel Dong Zha Halls 提上东栅厅 |
| 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
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ROOM B: Di Shang Resort Hotel Dong Zha Halls 提上西栅厅 |
| 10:30 |
Coffee Break |
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| 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
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ROOM A: Di Shang Resort Hotel Dong Zha Halls 提上东栅厅 |
| 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
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ROOM B: Di Shang Resort Hotel Dong Zha Halls 提上西栅厅 |
| 12:00 |
Lunch |
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| 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
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ROOM A: Di Shang Resort Hotel Dong Zha Halls 提上东栅厅 |
| 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
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ROOM B: Di Shang Resort Hotel Dong Zha Halls 提上西栅厅 |
| 14:30 |
Coffee Break & Closing Ceremony |
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