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researcher

Y. Lu

11 papers hereh-index 202.6k citations57 works total

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

author position
  • first author4
  • middle author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CV2
  • stat.ML2
  • eess.AS1
same name
  • Y. Lu — 314 papers, h 58
  • Y. Lu — 55 papers
  • Y. Lu — 44 papers
  • Y. Lu — 34 papers
  • Y. Lu — 17 papers
  • Y. Lu — 12 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
20122020
most citedFinding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis

35 citations · 65 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings

Phillip Keung, Julian Salazar, Yichao Lu +1

We describe an unsupervised method to create pseudo-parallel corpora for machine translation (MT) from unaligned text. We use multilingual BERT to create source and target sentence…

cs.CL2020

The Multilingual Amazon Reviews Corpus

Phillip Keung, Yichao Lu, György Szarvas +1

We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, J…

cs.CL2020

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings

Phillip Keung, Yichao Lu, Julian Salazar +1

Multilingual contextual embeddings have demonstrated state-of-the-art performance in zero-shot cross-lingual transfer learning, where multilingual BERT is fine-tuned on one source…

eess.AS2020★ 5 cited

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances

Phillip Keung, Wei Niu, Yichao Lu +2

We discuss the problem of echographic transcription in autoregressive sequence-to-sequence attentional architectures for automatic speech recognition, where a model produces very l…

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