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researcher

Jingyu Li

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS3
  • cs.CV1
ORCID 0000-0001-9909-0277
same name
  • Jingyu Li — 7 papers, h 16
  • Jingyu Li — 6 papers
  • Jingyu Li — 4 papers, h 7
  • Jingyu Li — 3 papers
  • Jingyu Li — 1 paper
  • Jingyu Li — 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
20222024
most citedMeta-Causal Feature Learning for Out-of-Distribution Generalization

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2024

Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss

Yusheng Tian, Jingyu Li, Tan Lee

This research is about the creation of personalized synthetic voices for head and neck cancer survivors. It is focused particularly on tongue cancer patients whose speech might exh…

eess.AS2023

Efficient Black-Box Speaker Verification Model Adaptation with Reprogramming and Backend Learning

Jingyu Li, Tan Lee

The development of deep neural networks (DNN) has significantly enhanced the performance of speaker verification (SV) systems in recent years. However, a critical issue that persis…

cs.CV2022★ 1 cited

Meta-Causal Feature Learning for Out-of-Distribution Generalization

Yuqing Wang, Xiangxian Li, Zhuang Qi +4

Causal inference has become a powerful tool to handle the out-of-distribution (OOD) generalization problem, which aims to extract the invariant features. However, conventional meth…

eess.AS2022

Transport-Oriented Feature Aggregation for Speaker Embedding Learning

Yusheng Tian, Jingyu Li, Tan Lee

Pooling is needed to aggregate frame-level features into utterance-level representations for speaker modeling. Given the success of statistics-based pooling methods, we hypothesize…

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