.- Parallel and Distributed Algorithms and Applications.
.- Fossil: A Cost-effective and Fault-tolerant Task Placement Scheme for Geo-Distributed Clouds.
.- Towards Privacy-Preserving Collaborative Detection of DDoS with Secure Multi-Party Computation.
.- FedCKD-ALDP: A Dual-Optimization Framework for Non-IID Federated Learning via Clustered Knowledge Distillation and Adaptive Local Differential Privacy.
.- FMQ-ZNS: Enhancing ZNS-Aware Fairness and Performance through Multi-Queue I/O Scheduling.
.- More Resistant and Less Waiting: Parallel Federated Split Learning for Object Detection Missions of UAV Cluster.
.- Multi-Distances Weighted Adaptive Fuzzy K-Nearest Neighbors Algorithm.
.- EAHP: An Efficient Automatic Hybrid Parallelism Approach with Genetic Algorithm.
.- Shadow: Research on Asynchronous DAG Consensus Mechanism Based on Dynamic Privacy Address Selection.
.- GIT: Accelerating Distributed DNN Training via Similar Gradient Filtering.
.- A Lightweight Framework for Energy-Aware Prediction and Scheduling in Heterogeneous HPC Clusters.
.- Hybrid-SAIME: Accelerating Surface and Interbed Multiple Elimination Method via 3-Stage Pipeline Parallel and Load Balancing on CPU-GPU Platforms.
.- HETER-GSD: Accelerating Heterogeneous Edge GNN Inference.
.- SHPTA: Stable Hybrid Parallel Distributed Training Architecture in Dual-Heterogeneous Environments.
.- DeFragS: Mitigating Resource Fragmentation in GPU Clusters Through Spatial-Temporal Scheduling.
.- OA-WGAN: A Clustering-Guided GAN for Disk Fault Augmentation.
.- Dynamic Adaptive Fault-Tolerance in Stream Computing Systems under Resource Constraints.
.- Auto-CLOUDSC: An Auto-Generation Framework for Vectorization and Optimization of Cloud Microphysics Parameterization on ARM CPUs.
.- Coalition Formation-Based Auction for Deep Neural Network Inference in Vehicular Edge Computing.
.- FedCSAD: Federated Learning with Contextual Client Selection and Confidence-Weighted Multi-Teacher Knowledge Distillation in Power Equipment Inspection.
.- DRL-Based Collaborative Caching Strategy Considering User Preference Prediction in UAV-Assisted Vehicular Edge Computing.
.- MPPTS: Multi-Factor Predictive Priority Task Scheduling Algorithm for Heterogeneous Systems.
.- FPAMM: Fine-Grained Pipeline Architecture Accelerator for the Novel Transformer Architecture - Monarch Mixer.
.- Ly-MAPPO: Enhancing Dynamic V2V Communication via Lyapunov-Based MAPPO under Multi-Dimensional Constraints.
.- A Multi-Strategy Communication Optimization and Adaptive Model Splitting Scheme for Federated Split Learning.
.- Multi-Modal Parallelism Scheduling for Heterogeneous Multicore Computing Systems.
.- A Lightweight Semantic RGB-D vSLAM for Environments with Dynamic Rigid Objects.
.- RAFL-DSV: Robustness-Driven Adaptive Federated Learning with Dynamic Shapley Value.
.- MVDR: Enabling Transaction Dependency Repair in Interactive Transaction Processing.
.- Vectorized Optimization Implementation of Multi-Scalar Multiplication Based on Heterogeneous Digital Signal Processor.
.- FedHyperClass: Boosting Cross-Modal Consensus for Federated Learning with Unimodal Clients.
.- DisDiffAD: A Distributed Diffusion-Based Framework for Efficient Time Series Anomaly Detection in Edge-Cloud Environment.