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Yujing Wang

Microsoft Research

9 papers hereh-index 162.2k citations35 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CL2
  • cs.CV2
  • cs.IR1
affiliations
  • Microsoft Research
  • Peking University
same name
  • Yujing Wang — 12 papers, h 14
  • Yujing Wang — 9 papers, h 2
  • Yujing Wang — 4 papers, h 2
  • Yujing Wang — 3 papers, h 4
  • Yujing Wang — 3 papers, h 2
  • Yujing Wang — 2 papers

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
20192023
most citedTime-Series Anomaly Detection Service at Microsoft

588 citations · 629 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2020★ 30 cited

Multivariate Time-series Anomaly Detection via Graph Attention Network

Hang Zhao, Yujing Wang, Juanyong Duan +7

Anomaly detection on multivariate time-series is of great importance in both data mining research and industrial applications. Recent approaches have achieved significant progress…

cs.LG2020★ 5 cited

Automated Model Selection for Time-Series Anomaly Detection

Yuanxiang Ying, Juanyong Duan, Chunlei Wang +3

Time-series anomaly detection is a popular topic in both academia and industrial fields. Many companies need to monitor thousands of temporal signals for their applications and ser…

cs.LG2019★ 4 cited

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Yujing Wang, Yaming Yang, Yiren Chen +7

Learning text representation is crucial for text classification and other language related tasks. There are a diverse set of text representation networks in the literature, and how…

cs.LG2019★ 588 cited

Time-Series Anomaly Detection Service at Microsoft

Hansheng Ren, Bixiong Xu, Yujing Wang +7

Large companies need to monitor various metrics (for example, Page Views and Revenue) of their applications and services in real time. At Microsoft, we develop a time-series anomal…

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