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researcher

Fernando Julio Cendra

The University of Hong Kong

6 papers hereh-index 3117 citations6 works total

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

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG1
affiliations
  • The University of Hong Kong
HomepageORCID 0000-0002-2409-0843

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedSL3D: Self-supervised-Self-labeled 3D Recognition

3 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

Can Bayesian Optimization Efficiently Find a Strong Single Expert in Neural Thickets?

Nigel Bastian Cendra, Abdelhamid Ezzerg, Fernando Julio Cendra +2

Gradient-free post-training has emerged as a compelling alternative to gradient-based optimization for large language models (LLMs), but existing approaches remain costly. We ask w…

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