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Feng Hou

Massey University, New Zealand

5 papers hereh-index 12457 citations32 works total

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

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG1
affiliations
  • Massey University, New Zealand
ORCID 0000-0001-5776-9177
same name
  • Feng Hou — 8 papers, h 7
  • Feng Hou — 1 paper, h 3

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
20212023
most citedImproving Entity Linking through Semantic Reinforced Entity Embeddings

40 citations · 100 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023★ 1 cited

A Novel Self-training Approach for Low-resource Speech Recognition

Satwinder Singh, Feng Hou, Ruili Wang

In this paper, we propose a self-training approach for automatic speech recognition (ASR) for low-resource settings. While self-training approaches have been extensively developed…

cs.CL2023★ 32 cited

How to Design Translation Prompts for ChatGPT: An Empirical Study

Yuan Gao, Ruili Wang, Feng Hou

The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abi…

cs.CL2022★ 24 cited

Improved Meta Learning for Low Resource Speech Recognition

Satwinder Singh, Ruili Wang, Feng Hou

We propose a new meta learning based framework for low resource speech recognition that improves the previous model agnostic meta learning (MAML) approach. The MAML is a simple yet…

cs.CL2021★ 40 cited

Improving Entity Linking through Semantic Reinforced Entity Embeddings

Feng Hou, Ruili Wang, Jun He +1

Entity embeddings, which represent different aspects of each entity with a single vector like word embeddings, are a key component of neural entity linking models. Existing entity…

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