3 papers
cs.CV2025
RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
Rongcheng Wu, Hao Zhu, Shiying Zhang +9
Unsupervised industrial anomaly detection requires accurately identifying defects without labeled data. Traditional autoencoder-based methods often struggle with incomplete anomaly…
cs.DB2025★ 2 cited
Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data
Yingfan Liu, Yandi Zhang, Jiadong Xie +3
In the era of cloud computing and AI, data owners outsource ubiquitous vectors to the cloud, which furnish approximate -nearest neighbors (-ANNS) services to users. To protec…
cs.LG2025
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching
Meng Wang, Jintao Yang, Bin Yang +4
Patch-wise Transformer based time series forecasting achieves superior accuracy. However, this superiority relies heavily on intricate model design with massive parameters, renderi…