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Lifu Huang

14 papers hereh-index 221.9k citations46 works total

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

author position
  • first author4
  • middle author10

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

fields
  • cs.CL13
  • cs.AI1
same name
  • Lifu Huang — 28 papers, h 15
  • Lifu Huang — 15 papers, h 7
  • Lifu Huang — 9 papers, h 6
  • Lifu Huang — 8 papers, h 6
  • Lifu Huang — 7 papers, h 8
  • Lifu Huang — 7 papers, 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
20162022
most citedPaperRobot: Incremental Draft Generation of Scientific Ideas

44 citations · 223 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 44 cited

Describing a Knowledge Base

Qingyun Wang, Xiaoman Pan, Lifu Huang +4

We aim to automatically generate natural language descriptions about an input structured knowledge base (KB). We build our generation framework based on a pointer network which can…

cs.CL2018★ 22 cited

Paper Abstract Writing through Editing Mechanism

Qingyun Wang, Zhihao Zhou, Lifu Huang +4

We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract. We design…

cs.CL2018★ 1 cited

Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding

Lifu Huang, Kyunghyun Cho, Boliang Zhang +2

We construct a multilingual common semantic space based on distributional semantics, where words from multiple languages are projected into a shared space to enable knowledge and r…

cs.CL2018★ 13 cited

Entity-aware Image Caption Generation

Di Lu, Spencer Whitehead, Lifu Huang +2

Current image captioning approaches generate descriptions which lack specific information, such as named entities that are involved in the images. In this paper we propose a new ta…

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