5 papers
R2H-Diff: Guided Spectral Diffusion Model for RGB-to-Hyperspectral Reconstruction
Songyu Ding, Ronggiang Zhao, Mingchun Sun +1
RGB-to-hyperspectral image reconstruction is a highly ill-posed inverse problem, since multiple plausible spectral distributions may correspond to the same RGB observation. Existin…
IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation
Mingchun Sun, Rongqiang Zhao, Muhammad Abdul Munnaf +1
In wireless sensor networks (WSNs), data augmentation is a novel method to improve sampling-frequency decision performance, thereby enabling energy optimization for IoT (Internet o…
Feature Recalibration Based Olfactory-Visual Multimodal Model for Enhanced Rice Deterioration Detection
Rongqiang Zhao, Hengrui Hu, Yijing Wang +2
Multimodal methods are widely used in rice deterioration detection, but they exhibit limited capability in representing and extracting fine-grained abnormal features. Moreover, the…
IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
Mingchun Sun, Rongqiang Zhao, Zhennan Huang +2
In industrial scenarios, data augmentation is an effective approach to improve model performance. However, its benefits are not unidirectionally beneficial. There is no theoretical…
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
Mingchun Sun, Rongqiang Zhao, Hengrui Hu +2
Diffusion models are the mainstream approach for time series generation tasks. However, existing diffusion models for time series generation require retraining the entire framework…