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Siyu Chen

3 papers hereh-index 494 citations4 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
same name
  • Siyu Chen — 14 papers, h 6
  • Siyu Chen — 13 papers, h 8
  • Siyu Chen — 9 papers, h 6
  • Siyu Chen — 9 papers, h 7
  • Siyu Chen — 8 papers, h 4
  • Siyu Chen — 8 papers, h 5

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

most citedGram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems

29 citations · 47 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 16 cited

RANDOM MASK: Towards Robust Convolutional Neural Networks

Tiange Luo, Tianle Cai, Mengxiao Zhang +2

Robustness of neural networks has recently been highlighted by the adversarial examples, i.e., inputs added with well-designed perturbations which are imperceptible to humans but c…

cs.CV2019★ 2 cited

Defective Convolutional Networks

Tiange Luo, Tianle Cai, Mengxiao Zhang +3

Robustness of convolutional neural networks (CNNs) has gained in importance on account of adversarial examples, i.e., inputs added as well-designed perturbations that are impercept…

cs.LG2019★ 29 cited

Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems

Tianle Cai, Ruiqi Gao, Jikai Hou +5

First-order methods such as stochastic gradient descent (SGD) are currently the standard algorithm for training deep neural networks. Second-order methods, despite their better con…

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