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Gongshen Liu

11 papers hereh-index 202.3k citations119 works total

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

author position
  • middle author4
  • last author6

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CR2
  • cs.AI1
  • cs.CV1
  • cs.LG1
  • cs.MM1
same name
  • Gongshen Liu — 37 papers, h 11
  • Gongshen Liu — 8 papers, h 5
  • Gongshen Liu — 6 papers, h 5
  • Gongshen Liu — 2 papers
  • Gongshen Liu — 1 paper, h 1

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
20182023
most citedModeling Multi-turn Conversation with Deep Utterance Aggregation

90 citations · 157 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 2 cited

Multiple Character Embeddings for Chinese Word Segmentation

Jingkang Wang, Jianing Zhou, Jie Zhou +1

Chinese word segmentation (CWS) is often regarded as a character-based sequence labeling task in most current works which have achieved great success with the help of powerful neur…

cs.MM2018★ 28 cited

Efficient feature learning and multi-size image steganalysis based on CNN

Ru Zhang, Feng Zhu, Jianyi Liu +1

For steganalysis, many studies showed that convolutional neural network has better performances than the two-part structure of traditional machine learning methods. However, there…

cs.CL2018★ 16 cited

Sliced Recurrent Neural Networks

Zeping Yu, Gongshen Liu

Recurrent neural networks have achieved great success in many NLP tasks. However, they have difficulty in parallelization because of the recurrent structure, so it takes much time…

cs.CL2018★ 90 cited

Modeling Multi-turn Conversation with Deep Utterance Aggregation

Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu +2

Multi-turn conversation understanding is a major challenge for building intelligent dialogue systems. This work focuses on retrieval-based response matching for multi-turn conversa…

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