Network and Parallel Computing

.- HSampler: Optimizing Multi-GPU GNN Sampling with Collision-Avoid Selection.
.- ServScale: Concurrency-aware Serverless Execution and Scaling Paradigm.
.- Pallas: Optimizing LLM-based Anomaly Traffic Classification with Compressed Prompt Engineering.
.- A Reputation-Driven Malicious User Detection for Truth Discovery in Mobile Crowdsensing.
.- CFLBD: Distance-Informed Dynamic Clustering via Bhattacharyya Metrics for Federated Learning.
.- SAMSformer: A Multi-Scale Prediction Model Based on Parallel Transformer.
.- Computing Measurement-Based Deployment of Service Function Chains in Computing Power Networks.
.- Exploiting Transformer-based Static Binary Analysis for Identifying Inefficient Locks.
.- Open Services Availability First-Based Routing and Scheduling Optimization for Wide-Area Deterministic Networks.
.- Incremental Distributed Algorithms for Game-theoretic Betweenness Centralities in Dynamic Graphs.
.- LightCacheRL: A Lightweight Reinforcement Learning Framework for Unified Cache Management.
.- Joint Optimization of Computation and Communication Resources for GPU Allocation in Heterogeneous Clusters.
.- upTSA: A DIMM-based Near Data Processing Accelerator for Time Series Analysis.
.- HSC: Scalable Task Scheduling in Large-Scale Edge Environments.
.- A Semi-Decoupled VLM Planner with a Memory Mechanism for Autonomous Driving.
.- An FPGA-Based Distributed Shared Memory Architecture Supporting CXL 2.0+ Specification.
.- DPS: A Congestion-aware Allreduce Job Placement for In-network Aggregation.
.- Carbon-Aware Task Scheduling in Distributed Computing Continuum: A Lyapunov-Guided Reinforcement Learning Approach.
.- DCTS-RDMA: Adaptive FEC via Dynamic Coding for Efficient RDMA over Lossy Networks.
.- Adap DP-FR: Adaptive Differential Privacy for Federated Recommendation.
.- LingXi: An Architecture for COM/MON-based High-integrity TSN/TTE Switch.
.- TAIR: Achieving Tenant Anomaly Isolation with Request Scheduling in Serverless Computing.
.- GICNet: Goal Interaction Conditioned Network for Human Trajectory Forecasting.
.- FPGA-Accelerated CNN-Transformer Hybrid Model for Real-Time Semantic Segmentation in Autonomous Driving.
.- ASR of CoMP-UAV Cellular Networks with Specific Eavesdropper.
.- FedLay: An Energy-Efficient Hierarchical Federated Learning Framework for Heterogeneous Edge Devices.
.- Bridge the Gap Between QoS and QoE in Mobile Short Video Service: a CDN Perspective.
.- RSCAC-NET: A Remote Sensing Image Change Description Network Based on Change-Aware and Multi-Stage Global Fusion.
.- Cultivator: Multi-Granularity Tree Construction in Heterogeneous Edge-Cloud Training.
.- Adaptive Anomaly Detection for IoT Networks: Improved Feature Engineering and Classification.
.- BlockSDN-VC: A SDN-Based Virtual Coordinate-Enhanced Transaction Broadcast Framework for High-Performance Blockchains.
.- LLM-Enhanced Heterogeneous Graph Embedding Model for DNS  Security.
.- Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices.
.- Fluid-DataTable: Elastic and Efficient Caching for Cloud Native Big Data Query System.
.- An effective defense scheme based on SDN for DDoS attacks system.
.- EdgeInferFlow: A Distributed Inference Acceleration Method for Deep Learning Chained Structure Models for Edge Devices.
.- Performance Analysis of Multipath QUIC Schedulers for Video Streaming over Hybrid 5G-Satcom Networks.
.- A Privacy-preserving Edge Inference Framework for Low-Altitude UAV Swarm Intelligence.