2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning
Jiaqi Luo, Yuan Yuan, Shixin Xu
Tabular-image multimodal learning, which integrates structured tabular data with imaging data, holds great promise for a variety of tasks, especially in medical applications. Yet,…
cs.LG2024★ 2 cited
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo, Yuan Yuan, Shixin Xu
Class imbalance remains a significant challenge in machine learning, particularly for tabular data classification tasks. While Gradient Boosting Decision Trees (GBDT) models have p…
cs.LG2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
Dingcheng Yang, Wenjian Yu, Zihao Xiao +1
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples. Moreover, the transferability of the adversarial examples has received broad attention in rece…