.- Cloud & Edge Computing.
.- FPGA-Based Real-Time FIR Filter for Digital Audio Processing.
.- SCDFL:A Secure and Byzantine-Resilient Decentralized Federated Learning Framework.
.- Multicast Communication in All-Optical Fat-Tree Networks.
.- A Multi-Omics Cancer Subtype Clustering Method Based on Convolutional Autoencoder and Prototype Alignment.
.- Contract-Theory-Based Incentive Mechanism for Social Welfare Maximization in Streaming Content Caching Systems.
.- Multimodal Data Fusion for Intelligent Assessment and Dynamic Forecasting in Agricultural Logistics Systems.
.- The Optimization Problem of Delivery Platforms.
.- Network Computing.
.- Fault Tolerance Analysis of Half Hypercube Networks Under the 1-Extra R-Component Pattern.
.- Efficient Cross-Layer Coordinated Buffer Management in Datacenter Networks.
.- Reliability Analysis of Folded Hypercube-Like Networks.
.- Hybrid Gravity-Based Centrality Scheme for High-Resolution Influencer Detection in Complex Networks.
.- The Approximate Concept of Variable Precision Rough Set on Concept Lattice.
.- LLM-RLFuzz: An intelligent Fuzzing Framework for IoT Protocol.
.- Three-Round Adaptive Local Diagnosis for Digraph Under MM Model.
.- PSO-Optimized Anchor Weighting for NLOS-Resilient UWB Localization in Multipath Indoor Environment.
.- Big Data Analysis and Artificial Intelligence.
.- Contrastive Learning for Fault Diagnosis Enhanced by System-Level Graph Representation.
.- High-Dimensional Time Series Anomaly Detection Method Based on Multimodal Hypergraph Generative Adversarial Networks.
.- Adaptive Genetic K-Means Clustering With Principal Component Analysis and Neural Network-Driven Elite Selection.
.- Concept-Aware Deep Representation Learning for Co-Evolving Sequences.
.- Normalized Cut and Subgraph-Aware Multi-Head Attention Based Node-Level Anomaly Detection.
.- Graph Anomaly Detection Based on Dynamic Hypergraph Neural Network.
.- AMSVGAE-Based Causal Inference for Interpretable Graph Neural Networks.
.- Distributed Resource Management Mechanism Based on Deep Reinforcement Learning.
.- Security & Privacy.
.- An Adversarial Attack Method Based on Local Masking and Multi-Stage Momentum Optimization.
.- Anomaly Detection Method of Source Code Vulnerability Detection Tools Based on Differential Testing.
.- The Fractional Features of Separated Fuzzy Sets and Its Intelligent Acquisition.
.- NLP-Based Detecting Privacy Policy and Behavior Inconsistencies in Android Apps.
.- DOL: A Dual Ownership License for Deep Neural Networks.
.- Android App Privacy Risk Assessment: Combining Policy Analysis and Behavioral Monitoring.
.- Improvement of Provable Data Possession Scheme.
.- Privacy-Preserving Scheme in Social Networks With Differential Privacy.
