3 citations · 11 across the 19 of their papers we have counts for
4 papers · 1 filter
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
Yixuan Zhang, Boyu Li, Zenan Ling +1
Discrimination can occur when the underlying unbiased labels are overwritten by an agent with potential bias, resulting in biased datasets that unfairly harm specific groups and ca…
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
Yixuan Zhang, Quyu Kong, Feng Zhou
In this study, we propose a novel deep spatio-temporal point process model, Deep Kernel Mixture Point Processes (DKMPP), that incorporates multimodal covariate information. DKMPP i…
Hierarchical Optimization-Derived Learning
Risheng Liu, Xuan Liu, Shangzhi Zeng +2
In recent years, by utilizing optimization techniques to formulate the propagation of deep model, a variety of so-called Optimization-Derived Learning (ODL) approaches have been pr…
Characterizing and Detecting WebAssembly Runtime Bugs
Yixuan Zhang, Shangtong Cao, Haoyu Wang +6
WebAssembly (abbreviated WASM) has emerged as a promising language of the Web and also been used for a wide spectrum of software applications such as mobile applications and deskto…