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researcher

Chen Wu

7 papers hereh-index 9499 citations12 works total

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

author position
  • first author6
  • middle author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.IR2
  • cs.AI1
  • cs.CR1
same name
  • Chen Wu — 44 papers, h 12
  • Chen Wu — 26 papers, h 17
  • Chen Wu — 25 papers, h 29
  • Chen Wu — 22 papers, h 9
  • Chen Wu — 16 papers, h 15
  • Chen Wu — 13 papers, h 15

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
20202023
most citedMitigating Backdoor Attacks in Federated Learning

60 citations · 115 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.IR2022★ 12 cited

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models

Chen Wu, Ruqing Zhang, Jiafeng Guo +4

Neural ranking models (NRMs) have achieved promising results in information retrieval. NRMs have also been shown to be vulnerable to adversarial examples. A typical Word Substituti…

cs.AI2022★ 1 cited

Learning from Drivers to Tackle the Amazon Last Mile Routing Research Challenge

Chen Wu, Yin Song, Verdi March +1

The goal of the Amazon Last Mile Routing Research Challenge is to integrate the real-life experience of Amazon drivers into the solution of optimal route planning and optimization.…

cs.IR2022★ 2 cited

PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models

Chen Wu, Ruqing Zhang, Jiafeng Guo +3

Neural ranking models (NRMs) have shown remarkable success in recent years, especially with pre-trained language models. However, deep neural models are notorious for their vulnera…

cs.LG2022★ 34 cited

Federated Unlearning with Knowledge Distillation

Chen Wu, Sencun Zhu, Prasenjit Mitra

Federated Learning (FL) is designed to protect the data privacy of each client during the training process by transmitting only models instead of the original data. However, the tr…

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