Network and Parallel Computing

.- Dynamic Resource Allocation with Adaptive Mode Selection in D2D-V2X Networks.
.- A Digital Twin-Assisted Multi-Agent Task Offloading Method with Priority Scheduling in Vehicular Edge Networks.
.- DDPG-Based Joint Dynamic Task Offloading and Resource Allocation for Multi-User MEC Networks.
.- CGO: Cloud Game Orchestration via Resource Preception and CODEC Optimization.
.- Role-Aware Dynamic Grouping for Efficient Coordination in Multi-Agent Reinforcement Learning.
.- SynergiCache: A Novel Cluster Cache for Enhancing Performance in Cloud Storage Systems.
.- Image Compressive Sensing Approach Based on Mixed Precision Training and Deep Unrolling Network.
.- FastDAG: A Low-Latency and Parallel Wave-Execution Consensus with a Double-Layer DAG.
.- Long-term Cloud Workload Prediction with Multi-period Augmented LSTM.
.- In-Orbit Container Registry Planning for Fast Image Downloading in LEO Satellite Constellation.
.- TIDF: Timing-based Device Fingerprinting for PLCs.
.- Deadlock-Free Transaction Processing in Payment Channel Networks.
.- QoSmart-IoT: Secure QoS-Based Reconfiguration and Protocol Adaptation for Hybrid Clustered IoT Systems in Constrained Environments.
.- ManuMatic: Strategy Injection for Robust Automatic Hybrid Parallelism in Distributed DNN Training.
.- Maximizing the Utility of Multiple UAV Service Providers: A Hierarchical Cooperation Approach.
.- Slotqueue: A Wait-Free Distributed Multi-Producer Single-Consumer Queue with Constant Remote Operations.
.- Exploiting Hard Samples for Stealthy Backdoor Attacks on Large Language Models.
.- FedSM: A Federated Spectrum Management Architecture for 6G Network.
.- TriCooling-Sim: Efficient Thermal Simulation for High-Density Micro AI Data Centers.
.- Semantic-Driven Task-Traffic Co-Scheduling for TSN with Generalization Ability: A Heterogeneous Graph Neural Network-based Method.
.- CPU-GPU Heterogeneity Based Pipeline Parallel Architecture in Physical Layer Processing.
.- HBD-CE: Efficient Cross-HBD Communication for LLM Training in High-Bandwidth Domain Cluster via Hierarchical Collectives.
.- NNia-8: An 8-Core RISC-V Neural Network Inference Accelerator with Efficient Processing Elements and Memory Utilization.
.- GPowerT: LLM-Driven Automated Programming for Power-Constrained IoT Applications.
.- Millisecond-level Interference-aware Scheduling for Multi-inference Co-location on Ascend NPUs.
.- An Unsupervised Learning Log Anomaly Detection Method Based on Graph Neural Network.
.- Adaptive Reed-Solomon Coding for OFDM in Mobile Visible Light Communications.
.- Fast and Accurate RDMA Congestion Control with Self-Adapting Rate Adjustment.
.- Age of Information Minimization for Secure and Covert UAV communications.
.- LGSVE: Leader-Guided Soft Voting Ensemble Model for Class-Imbalanced IoT Intrusion Detection.
.- LLM-Guided Soft Actor-Critic for Resource Allocation in Mobile Edge Computing Networks.
.- ASALP: An Automatic Scaling Architecture for Edge Node Resources Based on Load Prediction.
.- CRANE: Two-Stage Coordinated Resource Allocation of Network and Compute for Deterministic Workloads.
.- Federated Learning via TEE-Based Dual-Branch Architecture and Interaction-Aware Pruning.
.- Breaking Language Barriers : A Domain-Specific Translation Workflow for Industry.
.- PHITS: A Parallel Hyperlink - Induced Topic Search Algorithm with Graph Partitioning and Communication Optimization.
.- Reducing Load-balancing Cost on Asymmetric NUMA Machine.
.- Data Plane Driven Adaptive Routing with In-Network Reinforcement Learning.