CORTEXA
← Browse

Yang Lu

8 papers indexed

arxiveess.SP2026-07-21

Outage-Constrained Environment Division Multiple Access (EDMA) for Pinching-Antenna Systems

Weihao Mao, Yang Lu, Yanqing Xu, Zhiguo Ding

Environment division multiple access (EDMA) has emerged as a promising multiple access paradigm, which mitigates inter-user interference by dynamically adjusting pinching antenna (PA) positions to the underlying propagation environment. This paper investigates a multi-user PA-ena…

View free PDFSource page
arxivcs.RO2026-07-20

Finite-Time Curvature-Constrained Vector Field for Saturation-Free Motion Planning of Nonholonomic Robots

Zhouru Xiao, Sha Luo, Yang Lu, Héctor García de Marina, Zhenyang Xu, Chaosong Gong, et al.

Accurately steering a robot to a target configuration is fundamental in engineering, yet remains challenging for nonholonomic mobile robots. Vector fields (VFs) provide a natural framework by specifying desired motion directions throughout the workspace and enabling direct integr…

View free PDFSource page
arxivcs.LG2026-07-17

Interactive Training 2: Auditable Control Plane for Live Model Training

Wentao Zhang, Xuanhe Pan, Han Zhou, Yang Lu, Yuntian Deng

Experiment trackers show how training is progressing, but changing a live run still usually requires trainer-specific code. We present Interactive Training 2, an open-source control plane for steering training through a shared protocol. Training applications declare which setting…

View free PDFSource page
arxivcs.RO2026-07-16

Curvature-Constrained and Constant-Speed Distributed Simultaneous Arrival Control for Multi-Robot Systems

Zhouru Xiao, Yang Lu, Weijia Yao, Min Liu, Yaonan Wang

The simultaneous arrival of multiple mobile robots at a target point is crucial for cooperation tasks such as cooperative encirclement, disaster relief, and environmental monitoring. Although the simultaneous arrival problem itself is already complex, the problem becomes more cha…

View free PDFSource page
arxivcs.CV2026-07-07

Beyond Perfect Priors: Adaptive Gaussian Graph for 4D Driving Reconstruction in the Wild

Xiaoyun Dong, Qian Xu, Yun Wang, Yang Lu, Jen-Ming Wu, Jianping Wang

Reconstructing 4D driving scenes in the wild (e.g., internet and AI-generated videos) is critical for diverse autonomous driving simulation. While recent Gaussian Scene Graph (GSG) methods achieve impressive visual quality, they heavily rely on precise priors, such as accurate ca…

View free PDFSource page
arxivcs.ROcs.AI2026-07-07

OmniSCS: Omni Safety-Critical Scenario Synthesis for Autonomous Driving via a Fully Editable Driving World

Xiaoyun Dong, Qian Xu, Yang Lu, Yang Lou, Yung-Hui Li, Jianping Wang

The synthesis of safety-critical scenarios (SCS) and their evaluation through closed-loop simulations are crucial for developing robust autonomous driving systems. A key aspect of this process involves editing agent states in both appearance and trajectory levels within existing…

View free PDFSource page
arxivcs.CVcs.AI2026-06-30

Lost in the Tail: Addressing Geographic Imbalance in Urban Visual Place Recognition

Zhiyao Shu, Jiacheng Yang, Yang Lu, Waishan Qiu, Chuan Li, Da Chen

Urban-scale Visual Place Recognition (VPR) aims to identify the geographic location of a query image by matching it against a geo-tagged database. While recent methods achieve impressive performance, they overlook a serious long-tailed problem hidden in urban-scale datasets, whic…

View free PDFSource page
crossrefMicromachines2023-12-22Cited by 39

A Real-Time Defect Detection Strategy for Additive Manufacturing Processes Based on Deep Learning and Machine Vision Technologies

Wei Wang, Peiren Wang, Hanzhong Zhang, Xiaoyi Chen, Guoqi Wang, Yang Lu, et al.

Nowadays, additive manufacturing (AM) is advanced to deliver high-value end-use products rather than individual components. This evolution necessitates integrating multiple manufacturing processes to implement multi-material processing, much more complex structures, and the reali…

View free PDFSource page