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researcher

Xinyu Yang

4 papers hereh-index 9220 citations57 works total

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

author position
  • middle author3

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

fields
  • cs.LG2
  • cs.AI1
  • cs.HC1
same name
  • Xinyu Yang — 21 papers, h 9
  • Xinyu Yang — 13 papers, h 35
  • Xinyu Yang — 12 papers
  • Xinyu Yang — 9 papers, h 18
  • Xinyu Yang — 8 papers, h 8
  • Xinyu Yang — 7 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
20232025
most citedMemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

10 citations · 10 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Benchmark Datasets for Lead-Lag Forecasting on Social Platforms

Kimia Kazemian, Zhenzhen Liu, Yangfanyu Yang +9

Social and collaborative platforms emit multivariate time-series traces in which early interactions -- such as views, likes, or downloads -- are followed, sometimes months or years…

cs.AI2024

A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making

Chaoxiong Ma, Yan Liang, Xinyu Yang +2

The theory of evidence reasoning has been applied to collective decision-making in recent years. However, existing distributed evidence fusion methods lead to participants' prefere…

cs.HC2023

What Makes a Fantastic Passenger-Car Driver in Urban Contexts?

Yueteng Yu, Zhijie Yi, Xinyu Yang +11

The accurate evaluation of the quality of driving behavior is crucial for optimizing and implementing autonomous driving technology in practice. However, there is no comprehensive…

cs.LG2023★ 10 cited

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

Zekun Cai, Renhe Jiang, Xinyu Yang +5

Urban time series data forecasting featuring significant contributions to sustainable development is widely studied as an essential task of the smart city. However, with the dramat…

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