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researcher

Chao Chen

12 papers hereh-index 131.1k citations22 works total

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

author position
  • first author1
  • middle author5
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV4
  • eess.IV2
same name
  • Chao Chen — 180 papers, h 13
  • Chao Chen — 161 papers, h 5
  • Chao Chen — 39 papers, h 4
  • Chao Chen — 34 papers, h 4
  • Chao Chen — 20 papers, h 12
  • Chao Chen — 19 papers, h 16

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
20182023
most citedA Topological Regularizer for Classifiers via Persistent Homology

53 citations · 166 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 2 cited

Topological Detection of Trojaned Neural Networks

Songzhu Zheng, Yikai Zhang, Hubert Wagner +2

Deep neural networks are known to have security issues. One particular threat is the Trojan attack. It occurs when the attackers stealthily manipulate the model's behavior through…

cs.LG2021★ 32 cited

Learning with Feature-Dependent Label Noise: A Progressive Approach

Yikai Zhang, Songzhu Zheng, Pengxiang Wu +2

Label noise is frequently observed in real-world large-scale datasets. The noise is introduced due to a variety of reasons; it is heterogeneous and feature-dependent. Most existing…

cs.LG2021★ 4 cited

Stability of SGD: Tightness Analysis and Improved Bounds

Yikai Zhang, Wenjia Zhang, Sammy Bald +3

Stochastic Gradient Descent (SGD) based methods have been widely used for training large-scale machine learning models that also generalize well in practice. Several explanations h…

cs.LG2021★ 7 cited

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

Yikai Zhang, Hui Qu, Qi Chang +3

Recently, Generative Adversarial Networks (GANs) have demonstrated their potential in federated learning, i.e., learning a centralized model from data privately hosted by multiple…

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