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researcher

Yi Xie

8 papers hereh-index 12810 citations21 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.AS2
  • cs.CR1
  • cs.LG1
same name
  • Yi Xie — 41 papers, h 24
  • Yi Xie — 16 papers, h 7
  • Yi Xie — 11 papers, h 8
  • Yi Xie — 5 papers, h 3
  • Yi Xie — 5 papers, h 2
  • Yi Xie — 5 papers, h 3

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 citedCHIP: CHannel Independence-based Pruning for Compact Neural Networks

25 citations · 46 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.AS2020★ 11 cited

Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems

Yi Xie, Cong Shi, Zhuohang Li +3

As the popularity of voice user interface (VUI) exploded in recent years, speaker recognition system has emerged as an important medium of identifying a speaker in many security-re…

cs.CV2020

PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices

Chunhua Deng, Siyu Liao, Yi Xie +3

Deep neural network (DNN) has emerged as the most important and popular artificial intelligent (AI) technique. The growth of model size poses a key energy efficiency challenge for…

eess.AS2020★ 5 cited

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model

Yi Xie, Zhuohang Li, Cong Shi +3

Recently, the vulnerability of DNN-based audio systems to adversarial attacks has obtained the increasing attention. However, the existing audio adversarial attacks allow the adver…

cs.LG2020★ 2 cited

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Xiao Zang, Yi Xie, Jie Chen +1

Deep neural networks, while generalize well, are known to be sensitive to small adversarial perturbations. This phenomenon poses severe security threat and calls for in-depth inves…

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