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researcher

Yifan Xu

9 papers hereh-index 10731 citations19 works total

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

author position
  • first author1
  • middle author5
  • last author2

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

fields
  • cs.LG4
  • cs.HC2
  • cs.CR1
  • eess.IV1
  • eess.SP1
same name
  • Yifan Xu — 20 papers, h 7
  • Yifan Xu — 14 papers, h 6
  • Yifan Xu — 11 papers, h 13
  • Yifan Xu — 10 papers, h 3
  • Yifan Xu — 5 papers, h 3
  • Yifan Xu — 5 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
20192024
most citedCSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification

34 citations · 76 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2024★ 6 cited

Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition

Yifan Xu, Xue Jiang, Dongrui Wu

Emotion recognition is a critical component of affective computing. Training accurate machine learning models for emotion recognition typically requires a large amount of labeled d…

cs.LG2022

Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges

Siyang Li, Yifan Xu, Huanyu Wu +4

Facial affect analysis remains a challenging task with its setting transitioned from lab-controlled to in-the-wild situations. In this paper, we present novel frameworks to handle…

cs.LG2022★ 4 cited

PyTSK: A Python Toolbox for TSK Fuzzy Systems

Yuqi Cui, Dongrui Wu, Xue Jiang +1

This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno-Kang (TSK) fuzzy systems. Based on scikit-learn and PyTorch, PyTSK allows users to optimize TSK fuzzy syste…

cs.LG2021★ 3 cited

Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions

Yuqi Cui, Dongrui Wu, Yifan Xu

Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions (MFs) is one of the most widely used fuzzy systems in machine learning. However, it usually has difficulty…

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