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researcher

Jiebo Luo

University of Rochester

236 papers hereh-index 10649.1k citations766 works total

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

author position
  • middle author63
  • last author161

Across the 224 of 236 papers where every author was matched, so the position is known.

fields
  • cs.CV138
  • cs.SI42
  • cs.CL15
  • cs.LG12
  • eess.IV9
  • cs.CY5
affiliations
  • University of Rochester
Homepage
same name
  • Jiebo Luo — 41 papers, h 13
  • Jiebo Luo — 14 papers, h 6
  • Jiebo Luo — 12 papers, h 2
  • Jiebo Luo — 11 papers, h 7
  • Jiebo Luo — 10 papers, h 7
  • Jiebo Luo — 9 papers, h 4

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
20152025
most citedDynamic Context-guided Capsule Network for Multimodal Machine Translation

57 citations · 1.2k across the 137 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

4 papers · 2 filters

cs.CL2019★ 4 cited

Neural Simile Recognition with Cyclic Multitask Learning and Local Attention

Jiali Zeng, Linfeng Song, Jinsong Su +3

Simile recognition is to detect simile sentences and to extract simile components, i.e., tenors and vehicles. It involves two subtasks: {\it simile sentence classification} and {\i…

cs.CL2019

Iterative Dual Domain Adaptation for Neural Machine Translation

Jiali Zeng, Yang Liu, Jinsong Su +4

Previous studies on the domain adaptation for neural machine translation (NMT) mainly focus on the one-pass transferring out-of-domain translation knowledge to in-domain NMT model.…

cs.CL2019★ 8 cited

Graph-based Neural Sentence Ordering

Yongjing Yin, Linfeng Song, Jinsong Su +3

Sentence ordering is to restore the original paragraph from a set of sentences. It involves capturing global dependencies among sentences regardless of their input order. In this p…

cs.CL2019★ 13 cited

Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

Jialong Tang, Ziyao Lu, Jinsong Su +4

In aspect-level sentiment classification (ASC), it is prevalent to equip dominant neural models with attention mechanisms, for the sake of acquiring the importance of each context…

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