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Panpan Xu

4 papers hereh-index 171.5k citations31 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.GR1
  • cs.HC1
same name
  • Panpan Xu — 1 paper
  • Panpan Xu — 1 paper
  • Panpan Xu — 1 paper

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
20192022
most citedInterpretable and Steerable Sequence Learning via Prototypes

95 citations · 116 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 15 cited

Interactive Visual Pattern Search on Graph Data via Graph Representation Learning

Huan Song, Zeng Dai, Panpan Xu +1

Graphs are a ubiquitous data structure to model processes and relations in a wide range of domains. Examples include control-flow graphs in programs and semantic scene graphs in im…

cs.HC2021★ 6 cited

Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models

Zhenge Zhao, Panpan Xu, Carlos Scheidegger +1

The interpretation of deep neural networks (DNNs) has become a key topic as more and more people apply them to solve various problems and making critical decisions. Concept-based e…

cs.LG2019★ 95 cited

Interpretable and Steerable Sequence Learning via Prototypes

Yao Ming, Panpan Xu, Huamin Qu +1

One of the major challenges in machine learning nowadays is to provide predictions with not only high accuracy but also user-friendly explanations. Although in recent years we have…

cs.GR2019

An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data

Takanori Fujiwara, Jia-Kai Chou, Shilpika +3

Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing multidimensional data. However, when data is a live streaming feed, conventional DR methods ca…

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