- Blockchain and Data Mining.- Intrusion Anomaly Detection with Multi-Transformer.- A Federated Learning Method Based on Linear Probing and Fine-Tuning.- Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection.- A Secure Hierarchical Federated Learning Framework based on FISCO Group Mechanism.- Research on Network Traffic Anomaly Detection Method Based on Deep Learning.- Hyper-parameter Optimization and Proxy Re-encryption for Federated Learning.- Data Security and Anomaly Detection.

- Exploring Embedded Content in the Ethereum Blockchain: Data Restoration and Analysis.- Task Allocation and Process Optimization of Data, Information, Knowledge, and Wisdom (DIKW)-based Workflow Engine.- Location Data Sharing Method Based on Blockchain and Attribute-Based Encryption.- Implicit White-Box Implementations of Efficient Double-Block-Length MAC.- A Survey on Blockchain Scalability.- Supply Chain Financing Model Embedded with "Full-Process" Blockchain.- Blockchain Performance Optimization.- ReCon: Faster Smart Contract Vulnerability Detection by Reusable Symbolic Execution Tree.

- SVD-SESDG: Smart Contract Vulnerability Detection Technology via Symbol Execution and State Variable Dependency Graph.- Dual-view Aware Smart Contract Vulnerability Detection for Ethereum.- Blockchain Layered Sharding Algorithm Based on Transaction Characteristics.- An Empirical Study on the Performance of EVMs and Wasm VMs for Smart Contract Execution.- Ponzi Scheme Detection in Smart Contracts Using Heterogeneous Semantic Graph.