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Bowen Zhou

25 papers hereh-index 171.8k citations38 works total

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

author position
  • middle author7
  • last author17

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CL17
  • eess.AS3
  • cs.CV2
  • cs.AI1
  • cs.RO1
  • stat.ML1
same name
  • Bowen Zhou — 46 papers, h 47
  • Bowen Zhou — 39 papers, h 19
  • Bowen Zhou — 25 papers, h 9
  • Bowen Zhou — 21 papers, h 7
  • Bowen Zhou — 19 papers, h 7
  • Bowen Zhou — 19 papers, h 8

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
20162023
most citedSAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything

97 citations · 264 across the 25 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.AS2020★ 2 cited

Neural Kalman Filtering for Speech Enhancement

Wei Xue, Gang Quan, Chao Zhang +3

Statistical signal processing based speech enhancement methods adopt expert knowledge to design the statistical models and linear filters, which is complementary to the deep neural…

eess.AS2020

Incremental Learning for End-to-End Automatic Speech Recognition

Li Fu, Xiaoxiao Li, Libo Zi +4

In this paper, we propose an incremental learning method for end-to-end Automatic Speech Recognition (ASR) which enables an ASR system to perform well on new tasks while maintainin…

eess.AS2020★ 28 cited

Speaker Diarization with Lexical Information

Tae Jin Park, Kyu J. Han, Jing Huang +4

This work presents a novel approach for speaker diarization to leverage lexical information provided by automatic speech recognition. We propose a speaker diarization system that c…

cs.CL2020★ 4 cited

Graph Sequential Network for Reasoning over Sequences

Ming Tu, Jing Huang, Xiaodong He +1

Recently Graph Neural Network (GNN) has been applied successfully to various NLP tasks that require reasoning, such as multi-hop machine reading comprehension. In this paper, we co…

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