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Lifeng Zhou

4 papers hereh-index 29 citations8 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL3
  • cs.SD1
same name
  • Lifeng Zhou — 9 papers
  • Lifeng Zhou — 6 papers
  • Lifeng Zhou — 3 papers
  • Lifeng Zhou — 3 papers
  • Lifeng Zhou — 2 papers
  • Lifeng Zhou — 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
20222025
most citedAcoustic Pornography Recognition Using Convolutional Neural Networks and Bag of Refinements

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

collaborators

4 papers

cs.CL2025

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR

Guodong Ma, Wenxuan Wang, Lifeng Zhou +3

Recently, the Mixture of Expert (MoE) architecture, such as LR-MoE, is often used to alleviate the impact of language confusion on the multilingual ASR (MASR) task. However, it sti…

cs.CL2024

Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval

Lifeng Zhou, Yuke Li, Rui Deng +2

The success of speech-image retrieval relies on establishing an effective alignment between speech and image. Existing methods often model cross-modal interaction through simple co…

cs.CL2024

Coarse-to-fine Alignment Makes Better Speech-image Retrieval

Lifeng Zhou, Yuke Li

In this paper, we propose a novel framework for speech-image retrieval. We utilize speech-image contrastive (SIC) learning tasks to align speech and image representations at a coar…

cs.SD2022★ 1 cited

Acoustic Pornography Recognition Using Convolutional Neural Networks and Bag of Refinements

Lifeng Zhou, Kaifeng Wei, Yuke Li +3

A large number of pornographic audios publicly available on the Internet seriously threaten the mental and physical health of children, but these audios are rarely detected and fil…

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