activity
20172022
most citedData-driven analysis of the electronic-structure factors controlling the work functions of perovskite oxides

15 citations · 21 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Are Shortest Rationales the Best Explanations for Human Understanding?

Hua Shen, Tongshuang Wu, Wenbo Guo +1

Existing self-explaining models typically favor extracting the shortest possible rationales - snippets of an input text "responsible for" corresponding output - to explain the mode…

cond-mat.mtrl-sci202115 cited

Data-driven analysis of the electronic-structure factors controlling the work functions of perovskite oxides

Yihuang Xiong, Weinan Chen, Wenbo Guo +2

Tuning the work functions of materials is of practical interest for maximizing the performance of microelectronic and (photo)electrochemical devices, as the efficiency of these sys…

cs.CR2019

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Wenbo Guo, Lun Wang, Xinyu Xing +2

A trojan backdoor is a hidden pattern typically implanted in a deep neural network. It could be activated and thus forces that infected model behaving abnormally only when an input…

cs.LG2018

Explaining Deep Learning Models - A Bayesian Non-parametric Approach

Wenbo Guo, Sui Huang, Yunzhe Tao +2

Understanding and interpreting how machine learning (ML) models make decisions have been a big challenge. While recent research has proposed various technical approaches to provide…

cs.LG20176 cited

Towards Interrogating Discriminative Machine Learning Models

Wenbo Guo, Kaixuan Zhang, Lin Lin +2

It is oftentimes impossible to understand how machine learning models reach a decision. While recent research has proposed various technical approaches to provide some clues as to…