- 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.