3 papers
cs.CV2026
Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA Banks
Weibai Fang, Haijun Che, Feiyang Ren +1
Continual industrial anomaly detection with diffusion models suffers from historical normality prior drift and catastrophic forgetting. Existing continual diffusion methods preserv…
cs.CY2026
Assessing the Feasibility of a Video-Based Conversational Chatbot Survey for Measuring Perceived Cycling Safety: A Pilot Study in New York City
Feiyang Ren, Zhaoxi Zhang, Tamir Mendel +1
Bicycle safety is important for bikeability and transportation efficiency. However, conventional surveys often fall short in capturing how people actually perceive cycling environm…
cs.LG2025
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
Renzhao Liang, Sizhe Xu, Chenggang Xie +4
Time series forecasting plays a pivotal role in critical domains such as energy management and financial markets. Although deep learning-based approaches (e.g., MLP, RNN, Transform…