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Yifan Chen

Hong Kong Baptist University

9 papers hereh-index 7196 citations14 works total

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

author position
  • first author8
  • middle author1

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

fields
  • cs.LG5
  • cs.CL2
  • stat.ML2
affiliations
  • Hong Kong Baptist University
same name
  • Yifan Chen — 33 papers, h 15
  • Yifan Chen — 32 papers, h 15
  • Yifan Chen — 15 papers, h 2
  • Yifan Chen — 10 papers, h 6
  • Yifan Chen — 8 papers, h 2
  • Yifan Chen — 7 papers, h 16

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
20212023
most citedAccumulation of Sub-Sampling Matrices with Applications to Statistical Computation

3 citations · 7 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences

Yifan Chen, Qi Zeng, Dilek Hakkani-Tur +3

Transformer-based models are not efficient in processing long sequences due to the quadratic space and time complexity of the self-attention modules. To address this limitation, Li…

cs.LG2021

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method

Yifan Chen, Qi Zeng, Heng Ji +1

Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism. On the other hand, although kernel machines suffer from the same…

stat.ML2021★ 1 cited

Fast Statistical Leverage Score Approximation in Kernel Ridge Regression

Yifan Chen, Yun Yang

Nyström approximation is a fast randomized method that rapidly solves kernel ridge regression (KRR) problems through sub-sampling the n-by-n empirical kernel matrix appearing in th…

stat.ML2021★ 3 cited

Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation

Yifan Chen, Yun Yang

With appropriately chosen sampling probabilities, sampling-based random projection can be used to implement large-scale statistical methods, substantially reducing computational co…

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