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researcher

Bo Zhao

20 papers hereh-index 163.6k citations25 works total

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

author position
  • first author12
  • middle author7
  • last author1

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG8
  • cs.CR1
same name
  • Bo Zhao — 34 papers, h 24
  • Bo Zhao — 34 papers, h 16
  • Bo Zhao — 15 papers, h 13
  • Bo Zhao — 14 papers, h 6
  • Bo Zhao — 13 papers, h 3
  • Bo Zhao — 12 papers, h 20

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
20162023
most citediDLG: Improved Deep Leakage from Gradients

377 citations · 802 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

Augmented Bi-path Network for Few-shot Learning

Baoming Yan, Chen Zhou, Bo Zhao +5

Few-shot Learning (FSL) which aims to learn from few labeled training data is becoming a popular research topic, due to the expensive labeling cost in many real-world applications.…

cs.CV2020★ 6 cited

Continual Representation Learning for Biometric Identification

Bo Zhao, Shixiang Tang, Dapeng Chen +2

With the explosion of digital data in recent years, continuously learning new tasks from a stream of data without forgetting previously acquired knowledge has become increasingly i…

cs.CV2020★ 105 cited

Dataset Condensation with Gradient Matching

Bo Zhao, Konda Reddy Mopuri, Hakan Bilen

As the state-of-the-art machine learning methods in many fields rely on larger datasets, storing datasets and training models on them become significantly more expensive. This pape…

cs.LG2020★ 377 cited

iDLG: Improved Deep Leakage from Gradients

Bo Zhao, Konda Reddy Mopuri, Hakan Bilen

It is widely believed that sharing gradients will not leak private training data in distributed learning systems such as Collaborative Learning and Federated Learning, etc. Recentl…

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