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researcher

Fan Lyu

16 papers hereh-index 181.1k citations77 works total

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

author position
  • first author3
  • middle author13

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG4
  • astro-ph.HE2
same name
  • Fan Lyu — 10 papers, h 5
  • Fan Lyu — 8 papers, h 5
  • Fan Lyu — 6 papers, h 4
  • Fan Lyu — 2 papers, h 1
  • Fan Lyu — 1 paper

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
20192023
most citedDisentangling Semantic-to-visual Confusion for Zero-shot Learning

30 citations · 66 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

astro-ph.HE2023

Super-Eddington Accretion as a Possible Scenario to Form GW190425

W. T. Zhang, Z. H. T. Wang, J. -P. Zhu +7

On 2019 April 25, the LIGO/Virgo Scientific Collaboration detected a compact binary coalescence, GW190425. Under the assumption of the binary neutron star (BNS), the total mass of…

astro-ph.HE2023

Revisiting the Properties of GW190814 and Its Formation History

F. Lyu, L. Yuan, D. H. Wu +9

GW190814 was reported during LIGO's and Virgo's third observing run with the most asymmetric component masses (a ∼23 M⊙​ black hole and a ∼2.6 M⊙​ compac…

cs.CV2023

Two-level Graph Network for Few-Shot Class-Incremental Learning

Hao Chen, Linyan Li, Fan Lyu +3

Few-shot class-incremental learning (FSCIL) aims to design machine learning algorithms that can continually learn new concepts from a few data points, without forgetting knowledge…

cs.LG2023

Centroid Distance Distillation for Effective Rehearsal in Continual Learning

Daofeng Liu, Fan Lyu, Linyan Li +2

Rehearsal, retraining on a stored small data subset of old tasks, has been proven effective in solving catastrophic forgetting in continual learning. However, due to the sampled da…

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