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researcher

Yulan He

King's College London

14 papers hereh-index 468.3k citations212 works total

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

author position
  • middle author6
  • last author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.AI1
  • cs.CV1
  • cs.LG1
  • cs.SI1
affiliations
  • King's College London
Homepage
same name
  • Yulan He — 40 papers, h 28
  • Yulan He — 24 papers, h 12
  • Yulan He — 18 papers, h 6
  • Yulan He — 13 papers, h 6
  • Yulan He — 11 papers, h 5
  • Yulan He — 11 papers, h 6

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
20172023
most citedTDAM: a Topic-Dependent Attention Model for Sentiment Analysis

54 citations · 87 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering

Junru Lu, Gabriele Pergola, Lin Gui +2

We introduce CHIME, a cross-passage hierarchical memory network for question answering (QA) via text generation. It extends XLNet introducing an auxiliary memory module consisting…

cs.CL2020

A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings

Lixing Zhu, Yulan He, Deyu Zhou

We propose a novel generative model to explore both local and global context for joint learning topics and topic-specific word embeddings. In particular, we assume that global late…

cs.SI2020

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter

Lixing Zhu, Yulan He, Deyu Zhou

Opinion prediction on Twitter is challenging due to the transient nature of tweet content and neighbourhood context. In this paper, we model users' tweet posting behaviour as a tem…

cs.CL2020★ 6 cited

Neural Topic Modeling with Bidirectional Adversarial Training

Rui Wang, Xuemeng Hu, Deyu Zhou +4

Recent years have witnessed a surge of interests of using neural topic models for automatic topic extraction from text, since they avoid the complicated mathematical derivations fo…

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