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researcher

Chaochao Chen

Zhejiang University

34 papers hereh-index 313.5k citations68 works total

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

author position
  • first author9
  • middle author21
  • last author1

Across the 31 of 34 papers where every author was matched, so the position is known.

fields
  • cs.LG21
  • cs.IR7
  • cs.CR4
  • cs.AI1
  • cs.DB1
affiliations
  • Zhejiang University
Homepage
same name
  • Chaochao Chen — 27 papers, h 21
  • Chaochao Chen — 10 papers, h 11
  • Chaochao Chen — 8 papers, h 2
  • Chaochao Chen — 4 papers, h 2
  • Chaochao Chen — 3 papers, h 4
  • Chaochao Chen — 3 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
20182023
most citedGeniePath: Graph Neural Networks with Adaptive Receptive Paths

47 citations · 314 across the 34 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2020★ 10 cited

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control

Chaochao Chen, Jun Zhou, Li Wang +7

Logistic Regression (LR) is the most widely used machine learning model in industry for its efficiency, robustness, and interpretability. Due to the problem of data isolation and t…

cs.CR2020★ 4 cited

Practical Privacy Preserving POI Recommendation

Chaochao Chen, Jun Zhou, Bingzhe Wu +4

Point-of-Interest (POI) recommendation has been extensively studied and successfully applied in industry recently. However, most existing approaches build centralized models on the…

cs.CR2020★ 13 cited

Privacy Preserving PCA for Multiparty Modeling

Yingting Liu, Chaochao Chen, Longfei Zheng +4

In this paper, we present a general multiparty modeling paradigm with Privacy Preserving Principal Component Analysis (PPPCA) for horizontally partitioned data. PPPCA can accomplis…

cs.CR2019★ 13 cited

Quantification of the Leakage in Federated Learning

Zhaorui Li, Zhicong Huang, Chaochao Chen +1

With the growing emphasis on users' privacy, federated learning has become more and more popular. Many architectures have been raised for a better security. Most architecture work…

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