2 papers
cs.AI2026
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
Dongqi Wang, Weiwei Chen, Han Zhou +1
Ensuring food safety represents a critical public health challenge, particularly when inspection resources are limited and regional sampling data are sparse. This study proposes a…
cs.CV2022
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Dongqi Wang, Shengyu Zhang, Zhipeng Di +3
Network pruning and knowledge distillation are two widely-known model compression methods that efficiently reduce computation cost and model size. A common problem in both pruning…