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Jing Xiao

4 papers hereh-index 585 citations8 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG1
  • eess.AS1
same name
  • Jing Xiao — 127 papers, h 21
  • Jing Xiao — 62 papers, h 34
  • Jing Xiao — 11 papers, h 13
  • Jing Xiao — 5 papers, h 5
  • Jing Xiao — 5 papers, h 4
  • Jing Xiao — 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 citedNVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

7 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2023

P-vectors: A Parallel-Coupled TDNN/Transformer Network for Speaker Verification

Xiyuan Wang, Fangyuan Wang, Bo Xu +2

Typically, the Time-Delay Neural Network (TDNN) and Transformer can serve as a backbone for Speaker Verification (SV). Both of them have advantages and disadvantages from the persp…

cs.CL2021

AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations

Hongtao Ruan, Liying Zheng, Peixian Hu

State-of-the-art Named Entity Recognition(NER) models rely heavily on large amountsof fully annotated training data. However, ac-cessible data are often incompletely annotatedsince…

cs.CL2021

An Alignment-Agnostic Model for Chinese Text Error Correction

Liying Zheng, Yue Deng, Weishun Song +2

This paper investigates how to correct Chinese text errors with types of mistaken, missing and redundant characters, which is common for Chinese native speakers. Most existing mode…

cs.LG2021★ 7 cited

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

Liang Xu, Liying Zheng, Weijun Li +6

In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs). Time series anomaly detection is a very common bu…

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