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researcher

Xia Hu

6 papers hereh-index 41.6k citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CR1
  • cs.CV1
same name
  • Xia Hu — 23 papers, h 18
  • Xia Hu — 17 papers, h 15
  • Xia Hu — 17 papers, h 12
  • Xia Hu — 17 papers, h 3
  • Xia Hu — 16 papers, h 16
  • Xia Hu — 16 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedScore-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

95 citations · 136 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2022★ 4 cited

Differentially Private Counterfactuals via Functional Mechanism

Fan Yang, Qizhang Feng, Kaixiong Zhou +2

Counterfactual, serving as one emerging type of model explanation, has attracted tons of attentions recently from both industry and academia. Different from the conventional featur…

cs.LG2021★ 29 cited

Model-Based Counterfactual Synthesizer for Interpretation

Fan Yang, Sahan Suresh Alva, Jiahao Chen +1

Counterfactuals, serving as one of the emerging type of model interpretations, have recently received attention from both researchers and practitioners. Counterfactual explanations…

cs.LG2019★ 3 cited

XDeep: An Interpretation Tool for Deep Neural Networks

Fan Yang, Zijian Zhang, Haofan Wang +2

XDeep is an open-source Python package developed to interpret deep models for both practitioners and researchers. Overall, XDeep takes a trained deep neural network (DNN) as the in…

cs.LG2019★ 2 cited

Contextual Local Explanation for Black Box Classifiers

Zijian Zhang, Fan Yang, Haofan Wang +1

We introduce a new model-agnostic explanation technique which explains the prediction of any classifier called CLE. CLE gives an faithful and interpretable explanation to the predi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.