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Caiwen Ding

76 papers hereh-index 354k citations147 works total

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

author position
  • first author2
  • middle author41
  • last author27

Across the 70 of 76 papers where every author was matched, so the position is known.

fields
  • cs.LG31
  • cs.CV9
  • cs.CR7
  • cs.NE6
  • cs.CL5
  • cs.AR3
same name
  • Caiwen Ding — 17 papers, h 6
  • Caiwen Ding — 12 papers, h 6
  • Caiwen Ding — 6 papers, h 2
  • Caiwen Ding — 6 papers, h 2
  • Caiwen Ding — 3 papers
  • Caiwen Ding — 3 papers, h 4

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 citedCirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

177 citations · 689 across the 74 of their papers we have counts for

collaborators
Showing 2023 · cs.CRShow all

3 papers · 2 filters

cs.CR2023★ 1 cited

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Hongwu Peng, Shaoyi Huang, Tong Zhou +11

The growth of the Machine-Learning-As-A-Service (MLaaS) market has highlighted clients' data privacy and security issues. Private inference (PI) techniques using cryptographic prim…

cs.CR2023

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

Hongwu Peng, Shanglin Zhou, Yukui Luo +9

Two-party computation (2PC) is promising to enable privacy-preserving deep learning (DL). However, the 2PC-based privacy-preserving DL implementation comes with high comparison pro…

cs.CR2023★ 5 cited

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference

Hongwu Peng, Shanglin Zhou, Yukui Luo +11

The proliferation of deep learning (DL) has led to the emergence of privacy and security concerns. To address these issues, secure Two-party computation (2PC) has been proposed as…

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