most citedA Survey for Deep Reinforcement Learning Based Network Intrusion Detection

7 citations

10 papers

cs.RO2026

SAM3D-Guided Object-Centric Representation Alignment for Vision-Language-Action Models

Zonghe Liu, Shanyuan Jie, Xiaoquan Sun +4

Vision-Language-Action (VLA) models have shown strong potential for general robot manipulation, but most existing models rely on 2D visual-language backbones and lack fine-grained…

physics.optics2026

Spatiotemporal Optical Vortices From All-Dielectric Bilayer Metagratings

Ken Qin, Shijie Kang, Aoning Luo +9

Spatiotemporal optical vortices (STOVs) carry transverse orbital angular momentum within the space-time domain, rendering them powerful tools for constructing high-dimensional and…

eess.IV20262 cited

MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation

Rayan Merghani Ahmed, Adnan Iltaf, Mohamed Elmanna +5

Accurate segmentation of coronary Digital Subtraction Angiography (DSA) images is essential for diagnosing and treating coronary artery disease (CAD). Despite advances in deep lear…

cs.LG2026

Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion

Xuling Zhang, Peng Wang, Daiyan Li +3

Most graph neural network (GNN) cores rely on graph convolutions, typically implemented as message passing between direct (single-hop) neighbors. In many real-world graphs, edges c…

cs.RO2026

DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments

Wei Zuo, Zeyi Ren, Chengyang Li +7

Existing motion planning methods often struggle with rapid-motion obstacles due to an insufficient understanding of environmental changes. To address this, we propose integrating m…

cs.DC20262 cited

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters

Yanying Lin, Shijie Peng, Chengzhi Lu +2

Serving Large Language Models (LLMs) in production faces significant challenges from highly variable request patterns and severe resource fragmentation in serverless clusters. Curr…