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researcher

Lu Han

10 papers hereh-index 8512 citations20 works total

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

author position
  • first author6
  • middle author4

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CR1
  • cs.CV1
same name
  • Lu Han — 4 papers, h 5
  • Lu Han — 4 papers, h 3
  • Lu Han — 3 papers, h 2
  • Lu Han — 3 papers, h 2
  • Lu Han — 2 papers, h 17
  • Lu Han — 2 papers, h 1

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
20202025
most citedSOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion

13 citations · 30 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023

Twice Class Bias Correction for Imbalanced Semi-Supervised Learning

Lan Li, Bowen Tao, Lu Han +2

Differing from traditional semi-supervised learning, class-imbalanced semi-supervised learning presents two distinct challenges: (1) The imbalanced distribution of training samples…

cs.LG2023

Learning Robust Precipitation Forecaster by Temporal Frame Interpolation

Lu Han, Xu-Yang Chen, Han-Jia Ye +1

Recent advances in deep learning have significantly elevated weather prediction models. However, these models often falter in real-world scenarios due to their sensitivity to spati…

cs.LG2023★ 11 cited

The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Lu Han, Han-Jia Ye, De-Chuan Zhan

Multivariate time series data comprises various channels of variables. The multivariate forecasting models need to capture the relationship between the channels to accurately predi…

cs.LG2023★ 6 cited

On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning

Lu Han, Han-Jia Ye, De-Chuan Zhan

When there are unlabeled Out-Of-Distribution (OOD) data from other classes, Semi-Supervised Learning (SSL) methods suffer from severe performance degradation and even get worse tha…

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