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Yu Ding

4 papers hereh-index 219 citations6 works total

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
  • stat.AP2
  • cs.LG1
  • stat.ME1
same name
  • Yu Ding — 7 papers, h 7
  • Yu Ding — 5 papers, h 5
  • Yu Ding — 5 papers, h 34
  • Yu Ding — 4 papers, h 14
  • Yu Ding — 3 papers, h 2
  • Yu Ding — 3 papers, h 3

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
20202026
most citedGaussian process aided function comparison using noisy scattered data

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

stat.AP2026

Domain-Adapted Power Curve for Cross-Farm Applications

Ahmadreza Chokhachian, V. Roshan Joseph, Yu Ding

The wind energy industry relies on accurate power curve models to make power forecast, evaluate turbine performance, quantify upgrade, or support site-planning decisions. In this p…

stat.AP2026

Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves

Ahmadreza Chokhachian, V. Roshan Joseph, Yu Ding

Accurate modeling of wind turbine power curves is crucial for optimal wind farm operation. Nearly all existing power curve models focus on temporal variables such as wind speed and…

cs.LG2025

Fast Gaussian Process Approximations for Autocorrelated Data

Ahmadreza Chokhachian, Matthias Katzfuss, Yu Ding

This paper is concerned with the problem of how to speed up computation for Gaussian process models trained on autocorrelated data. The Gaussian process model is a powerful tool co…

stat.ME2020★ 6 cited

Gaussian process aided function comparison using noisy scattered data

Abhinav Prakash, Rui Tuo, Yu Ding

This work proposes a nonparametric method to compare the underlying mean functions given two noisy datasets. The motivation for the work stems from an application of comparing wind…

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