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researcher

Felix Juefei-Xu

35 papers hereh-index 375.9k citations80 works total

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

author position
  • first author4
  • middle author29

Across the 33 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.SE4
  • cs.CR3
  • cs.LG3
  • eess.IV2
  • cs.CL1
same name
  • Felix Juefei-Xu — 40 papers, h 18
  • Felix Juefei-Xu — 30 papers, h 12
  • Felix Juefei-Xu — 2 papers
  • Felix Juefei-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
20162024
most citedDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

591 citations · 1k across the 33 of their papers we have counts for

collaborators
Showing cs.SEShow all

4 papers · 1 filter

cs.SE2018★ 18 cited

Secure Deep Learning Engineering: A Software Quality Assurance Perspective

Lei Ma, Felix Juefei-Xu, Minhui Xue +7

Over the past decades, deep learning (DL) systems have achieved tremendous success and gained great popularity in various applications, such as intelligent machines, image processi…

cs.SE2018★ 25 cited

DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing

Xiaofei Xie, Lei Ma, Felix Juefei-Xu +7

In company with the data explosion over the past decade, deep neural network (DNN) based software has experienced unprecedented leap and is becoming the key driving force of many n…

cs.SE2018★ 29 cited

DeepMutation: Mutation Testing of Deep Learning Systems

Lei Ma, Fuyuan Zhang, Jiyuan Sun +8

Deep learning (DL) defines a new data-driven programming paradigm where the internal system logic is largely shaped by the training data. The standard way of evaluating DL models i…

cs.SE2018★ 591 cited

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

Lei Ma, Felix Juefei-Xu, Fuyuan Zhang +9

Deep learning (DL) defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data. We have seen…

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