68 citations · 90 across the 5 of their papers we have counts for
5 papers
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Anqi Xiao, Weichen Yu, Hongyuan Yu
Automatic data augmentation (AutoDA) plays an important role in enhancing the generalization of neural networks. However, mainstream AutoDA methods often encounter two challenges:…
Bag of Tricks for Training Data Extraction from Language Models
Weichen Yu, Tianyu Pang, Qian Liu +5
With the advance of language models, privacy protection is receiving more attention. Training data extraction is therefore of great importance, as it can serve as a potential tool…
CNTN: Cyclic Noise-tolerant Network for Gait Recognition
Weichen Yu, Hongyuan Yu, Yan Huang +2
Gait recognition aims to identify individuals by recognizing their walking patterns. However, an observation is made that most of the previous gait recognition methods degenerate s…
Generalized Inter-class Loss for Gait Recognition
Weichen Yu, Hongyuan Yu, Yan Huang +1
Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic syst…
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
Hongyuan Yu, Ting Li, Weichen Yu +4
Multivariate time-series forecasting is a critical task for many applications, and graph time-series network is widely studied due to its capability to capture the spatial-temporal…