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Yiyuan Yang

9 papers hereh-index 5273 citations13 works total

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

author position
  • first author3
  • middle author5

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

fields
  • cs.LG6
  • cs.AI2
  • cs.CL1
same name
  • Yiyuan Yang — 6 papers, h 4
  • Yiyuan Yang — 6 papers, h 2
  • Yiyuan Yang — 6 papers, h 3
  • Yiyuan Yang — 3 papers, h 10
  • Yiyuan Yang — 3 papers, h 2
  • Yiyuan Yang — 1 paper, h 9

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
20242026
most citedA Survey on Diffusion Models for Time Series and Spatio-Temporal Data

20 citations · 27 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AI2024★ 1 cited

Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives

Yiyuan Yang, Zheshun Wu, Yong Chu +3

Process mining, as a high-level field in data mining, plays a crucial role in enhancing operational efficiency and decision-making across organizations. In this survey paper, we de…

cs.LG2024★ 6 cited

TSI-Bench: Benchmarking Time Series Imputation

Wenjie Du, Jun Wang, Linglong Qian +12

Effective imputation is a crucial preprocessing step for time series analysis. Despite the development of numerous deep learning algorithms for time series imputation, the communit…

cs.LG2024

Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation

Linglong Qian, Yiyuan Yang, Wenjie Du +3

This study investigates the impact of masking strategies on time series imputation models in healthcare settings. While current approaches predominantly rely on random masking for…

cs.LG2024★ 20 cited

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Yiyuan Yang, Ming Jin, Haomin Wen +9

Diffusion models have been widely used in time series and spatio-temporal data, enhancing generative, inferential, and downstream capabilities. These models are applied across dive…

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