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Xue Jiang

15 papers hereh-index 12551 citations23 works total

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

author position
  • first author5
  • middle author5
  • last author4

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.DC4
  • cs.CL2
  • cs.CV1
same name
  • Xue Jiang — 29 papers, h 12
  • Xue Jiang — 12 papers, h 10
  • Xue Jiang — 10 papers, h 11
  • Xue Jiang — 7 papers, h 6
  • Xue Jiang — 7 papers, h 5
  • Xue Jiang — 6 papers, h 24

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
20222025
most citedTowards Federated Learning against Noisy Labels via Local Self-Regularization

63 citations · 171 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction

Lvhua Wu, Xuefeng Jiang, Sheng Sun +4

The rapid spread of fake news threatens social stability and public trust, highlighting the urgent need for its effective detection. Although large language models (LLMs) show pote…

cs.LG2025

Robust Federated Learning against Noisy Clients via Masked Optimization

Xuefeng Jiang, Tian Wen, Zhiqin Yang +5

In recent years, federated learning (FL) has made significant advance in privacy-sensitive applications. However, it can be hard to ensure that FL participants provide well-annotat…

cs.CV2025

FNBench: Benchmarking Robust Federated Learning against Noisy Labels

Xuefeng Jiang, Jia Li, Nannan Wu +7

Robustness to label noise within data is a significant challenge in federated learning (FL). From the data-centric perspective, the data quality of distributed datasets can not be…

cs.CL2025★ 1 cited

Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study

Xuefeng Jiang, Lvhua Wu, Sheng Sun +5

Code vulnerability detection (CVD) is essential for addressing and preventing system security issues, playing a crucial role in ensuring software security. Previous learning-based…

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