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researcher

Min Wu

9 papers hereh-index 13469 citations19 works total

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

author position
  • middle author1
  • last author7

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

fields
  • eess.SP5
  • cs.LG3
  • eess.IV1
same name
  • Min Wu — 28 papers, h 39
  • Min Wu — 19 papers, h 16
  • Min Wu — 16 papers, h 9
  • Min Wu — 11 papers, h 7
  • Min Wu — 11 papers, h 7
  • Min Wu — 10 papers, h 10

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
20192021
most citedAdaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications

40 citations · 169 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.SP2020★ 8 cited

Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network

Yuenan Li, Xin Tian, Qiang Zhu +1

This paper presents a computational solution that enables continuous cardiac monitoring through cross-modality inference of electrocardiogram (ECG). While some smartwatches now all…

cs.LG2020★ 1 cited

Transparency Tools for Fairness in AI (Luskin)

Mingliang Chen, Aria Shahverdi, Sarah Anderson +5

We propose new tools for policy-makers to use when assessing and correcting fairness and bias in AI algorithms. The three tools are: - A new definition of fairness called "controll…

cs.LG2020★ 4 cited

Towards Threshold Invariant Fair Classification

Mingliang Chen, Min Wu

Effective machine learning models can automatically learn useful information from a large quantity of data and provide decisions in a high accuracy. These models may, however, lead…

eess.SP2020★ 40 cited

Adaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications

Qiang Zhu, Mingliang Chen, Chau-Wai Wong +1

In the field of information forensics, many emerging problems involve a critical step that estimates and tracks weak frequency components in noisy signals. It is often challenging…

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