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Junyang Lin

43 papers hereh-index 4017.6k citations62 works total

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

author position
  • first author8
  • middle author28
  • last author3

Across the 39 of 43 papers where every author was matched, so the position is known.

fields
  • cs.CL30
  • cs.CV8
  • cs.LG4
  • eess.AS1
same name
  • Junyang Lin — 53 papers, h 19
  • Junyang Lin — 27 papers, h 11
  • Junyang Lin — 21 papers, h 10
  • Junyang Lin — 11 papers, h 8
  • Junyang Lin — 3 papers, h 3
  • Junyang Lin — 3 papers, h 3

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
20182025
most citedUnderstanding and Improving Layer Normalization

178 citations · 793 across the 25 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

4 papers · 2 filters

cs.CL2019★ 77 cited

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang +3

Self-attention based Transformer has demonstrated the state-of-the-art performances in a number of natural language processing tasks. Self-attention is able to model long-term depe…

cs.CL2019

Towards Knowledge-Based Recommender Dialog System

Qibin Chen, Junyang Lin, Yichang Zhang +4

In this paper, we propose a novel end-to-end framework called KBRD, which stands for Knowledge-Based Recommender Dialog System. It integrates the recommender system and the dialog…

cs.CL2019★ 31 cited

Imitation Learning for Non-Autoregressive Neural Machine Translation

Bingzhen Wei, Mingxuan Wang, Hao Zhou +3

Non-autoregressive translation models (NAT) have achieved impressive inference speedup. A potential issue of the existing NAT algorithms, however, is that the decoding is conducted…

cs.CL2019

Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Qibin Chen, Junyang Lin, Yichang Zhang +3

Quality product descriptions are critical for providing competitive customer experience in an e-commerce platform. An accurate and attractive description not only helps customers m…

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