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researcher

Ying‐Cheng Lai

2 papers here

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

author position
  • last author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph1
  • q-bio.QM1
ORCID 0000-0002-0723-733X

identity via Semantic Scholar / OpenAlex

most citedNon-Markovian recovery makes complex networks more resilient against large-scale failures

43 citations · 43 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2024

Learning to learn ecosystems from limited data -- a meta-learning approach

Zheng-Meng Zhai, Bryan Glaz, Mulugeta Haile +1

A fundamental challenge in developing data-driven approaches to ecological systems for tasks such as state estimation and prediction is the paucity of the observational or measurem…

physics.soc-ph2019★ 43 cited

Non-Markovian recovery makes complex networks more resilient against large-scale failures

Zhao-Hua Lin, Mi Feng, Ming Tang +4

Non-Markovian spontaneous recovery processes with a time delay (memory) are ubiquitous in the real world. How does the non-Markovian characteristic affect failure propagation in co…

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