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Fan Yang

4 papers hereh-index 14950 citations37 works total

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

author position
  • middle author4

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

fields
  • cs.LG3
  • cs.CV1
same name
  • Fan Yang — 101 papers, h 75
  • Fan Yang — 33 papers, h 39
  • Fan Yang — 31 papers, h 11
  • Fan Yang — 28 papers, h 29
  • Fan Yang — 28 papers, h 12
  • Fan Yang — 28 papers, h 7

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
20222026
most citedUMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

10 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

SinAE: A Single-Architecture Flow-Matching Autoencoder for Cross-Domain Atomic Systems

Yuxuan Ren, Fan Yang, Jianhua Yao +1

Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across domains, each with its Small molecules, crystals, a…

cs.LG2023

Reweighted Mixup for Subpopulation Shift

Zongbo Han, Zhipeng Liang, Fan Yang +8

Subpopulation shift exists widely in many real-world applications, which refers to the training and test distributions that contain the same subpopulation groups but with different…

cs.LG2022★ 10 cited

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

Zongbo Han, Zhipeng Liang, Fan Yang +7

Subpopulation shift widely exists in many real-world machine learning applications, referring to the training and test distributions containing the same subpopulation groups but va…

cs.CV2022

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Jiawei Yang, Hanbo Chen, Yu Zhao +4

Whole slide image (WSI) classification often relies on deep weakly supervised multiple instance learning (MIL) methods to handle gigapixel resolution images and slide-level labels.…

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