4 papers
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation
Junyi Wen, Ruiyan Zhuang, Yongjia Xu +7
Developing high-performance kernels for Neural Processing Units (NPUs) is a critical industry bottleneck, requiring developers to manually navigate implicit hardware constraints an…
ALow-Cost Real-Time Framework for Industrial Action Recognition Using Foundation Models
Zhicheng Wang, Wensheng Liang, Ruiyan Zhuang +3
Action recognition (AR) in industrial environments -- particularly for identifying actions and operational gestures -- faces persistent challenges due to high deployment costs, poo…
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang, Semujju Stuart Dereck, Zhicheng Wang +9
Although the applications of artificial intelligence especially deep learning had greatly improved various aspects of intelligent manufacturing, they still face challenges for wide…
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang +1
Anomaly detection has a wide range of applications and is especially important in industrial quality inspection. Currently, many top-performing anomaly-detection models rely on fea…