133 citations · 459 across the 32 of their papers we have counts for
34 papers
Defense Against Explanation Manipulation
Ruixiang Tang, Ninghao Liu, Fan Yang +2
Explainable machine learning attracts increasing attention as it improves transparency of models, which is helpful for machine learning to be trusted in real applications. However,…
Autonomous Exploration Development Environment and the Planning Algorithms
Chao Cao, Hongbiao Zhu, Fan Yang +4
Autonomous Exploration Development Environment is an open-source repository released to facilitate the development of high-level planning algorithms and integration of complete aut…
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Kaixiong Zhou, Ninghao Liu, Fan Yang +5
Graph neural networks (GNNs), which learn the node representations by recursively aggregating information from its neighbors, have become a predominant computational tool in many d…
Density-Based Dynamic Curriculum Learning for Intent Detection
Yantao Gong, Cao Liu, Jiazhen Yuan +6
Pre-trained language models have achieved noticeable performance on the intent detection task. However, due to assigning an identical weight to each sample, they suffer from the ov…
The Endokernel: Fast, Secure, and Programmable Subprocess Virtualization
Bumjin Im, Fangfei Yang, Chia-Che Tsai +3
Commodity applications contain more and more combinations of interacting components (user, application, library, and system) and exhibit increasingly diverse tradeoffs between isol…
Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and A Novel Solution via Sensitivity Analysis
Guanglei Hong, Fan Yang, Xu Qin
In causal mediation studies that decompose an average treatment effect into a natural indirect effect (NIE) and a natural direct effect (NDE), examples of post-treatment confoundin…