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Nenghai Yu

4 papers here

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.LG1
ORCID 0000-0003-4417-9316
same name
  • Nenghai Yu — 106 papers, h 81
  • Nenghai Yu — 33 papers, h 10
  • Nenghai Yu — 5 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

most citedDPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

12 citations · 22 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 12 cited

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Xiao Yu, Yuang Qi, Kejiang Chen +6

Large language models (LLMs) have the potential to generate texts that pose risks of misuse, such as plagiarism, planting fake reviews on e-commerce platforms, or creating inflamma…

cs.CV2023★ 5 cited

Multi-spectral Class Center Network for Face Manipulation Detection and Localization

Changtao Miao, Qi Chu, Zhentao Tan +7

As deepfake content proliferates online, advancing face manipulation forensics has become crucial. To combat this emerging threat, previous methods mainly focus on studying how to…

cs.CV2023★ 5 cited

Causal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

Xulin Li, Yan Lu, Bin Liu +6

In cloth-changing person re-identification (CCReID), it is critical to learn clothes-invariant feature, which can provide discriminative ID features that remain robust against clot…

cs.LG2014

Large-scale Online Feature Selection for Ultra-high Dimensional Sparse Data

Yue Wu, Steven C. H. Hoi, Tao Mei +1

Feature selection with large-scale high-dimensional data is important yet very challenging in machine learning and data mining. Online feature selection is a promising new paradigm…

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