15 citations · 15 across the 5 of their papers we have counts for
7 papers
PairAudit: Guiding Human Review with Graph Tokens under Distribution Shift
Jiran Tao, Binyan Jiang
Intrusion detectors can confidently misclassify attacks that were not seen during training. Human review can correct these errors, but only a limited number of cases can be checked…
Do Tabular Foundation Models Still Need Feature Engineering?
Yifan WU, Pinjun Dong, Jiran Tao +1
Feature engineering has long been a cornerstone of tabular machine learning. Tabular foundation models (TFMs) are pretrained on a wide range of tabular datasets and applied via in-…
Bi-Gaussian Mirrors for False Discovery Rate Control
Yujia Wu, Panxu Yuan, Binyan Jiang
Effectively controlling the false discovery rate (FDR) in high-dimensional variable selection is a fundamental statistical problem that has garnered significant research interest.…
LLM-Enhanced Rumor Detection via Virtual Node Induced Edge Prediction
Jiran Tao, Cheng Wang, Binyan Jiang
The rapid proliferation of rumors on social networks poses a significant threat to information integrity. While rumor dissemination forms complex structural patterns, existing dete…
Inference in the model for directed networks under local differential privacy
Xueying Sun, Ting Yan, Binyan Jiang
We explore the edge-flipping mechanism, a type of input perturbation, to release the directed graph under edge-local differential privacy. By using the noisy bi-degree sequence fro…
High-Dimensional Model Averaging via Cross-Validation
Zhengyan Wan, Fang Fang, Binyan Jiang
Model averaging is an important alternative to model selection with attractive prediction accuracy. However, its application to high-dimensional data remains under-explored. We pro…
Statistical Inference in a Directed Network Model with Covariates
Ting Yan, Binyan Jiang, Stephen E. Fienberg +1
Networks are often characterized by node heterogeneity for which nodes exhibit different degrees of interaction and link homophily for which nodes sharing common features tend to a…