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researcher

Minlie Huang

Tsinghua University

143 papers hereh-index 7422k citations277 works total

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

author position
  • first author2
  • middle author54
  • last author82

Across the 138 of 143 papers where every author was matched, so the position is known.

fields
  • cs.CL127
  • cs.AI7
  • cs.LG6
  • cs.IR3
affiliations
  • Tsinghua University
Homepage
same name
  • Minlie Huang — 56 papers, h 20
  • Minlie Huang — 12 papers, h 7
  • Minlie Huang — 9 papers, h 11
  • Minlie Huang — 9 papers, h 8
  • Minlie Huang — 6 papers, h 7
  • Minlie Huang — 6 papers, h 7

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
20152023
most citedReinforcement Learning for Relation Classification from Noisy Data

183 citations · 2.2k across the 143 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CL2016★ 95 cited

Linguistically Regularized LSTMs for Sentiment Classification

Qiao Qian, Minlie Huang, Jinhao Lei +1

Sentiment understanding has been a long-term goal of AI in the past decades. This paper deals with sentence-level sentiment classification. Though a variety of neural network model…

cs.LG2016★ 4 cited

KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm

Han Xiao, Minlie Huang, Xiaoyan Zhu

Knowledge representation is a long-history topic in AI, which is very important. A variety of models have been proposed for knowledge graph embedding, which projects symbolic entit…

cs.CL2016★ 32 cited

Modeling Rich Contexts for Sentiment Classification with LSTM

Minlie Huang, Yujie Cao, Chao Dong

Sentiment analysis on social media data such as tweets and weibo has become a very important and challenging task. Due to the intrinsic properties of such data, tweets are short, n…

cs.CL2016★ 115 cited

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

Han Xiao, Minlie Huang, Xiaoyan Zhu

Knowledge representation is an important, long-history topic in AI, and there have been a large amount of work for knowledge graph embedding which projects symbolic entities and re…

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