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Junlin Zhang

14 papers hereh-index 121.2k citations39 works total

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

author position
  • first author1
  • middle author2
  • last author11

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

fields
  • cs.IR5
  • cs.LG5
  • cs.CL3
  • cs.CV1
same name
  • Junlin Zhang — 3 papers, h 4
  • Junlin Zhang — 3 papers, h 1
  • Junlin Zhang — 2 papers, h 2
  • Junlin Zhang — 1 paper, h 3
  • Junlin Zhang — 1 paper, h 3
  • Junlin Zhang — 1 paper, 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
20162026
most citedFiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

296 citations · 399 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CL2020★ 13 cited

BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks

Tongwen Huang, Qingyun She, Junlin Zhang

As a pre-trained Transformer model, BERT (Bidirectional Encoder Representations from Transformers) has achieved ground-breaking performance on multiple NLP tasks. On the other hand…

cs.LG2020★ 5 cited

Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction

Zhiqiang Wang, Qingyun She, PengTao Zhang +1

Normalization has become one of the most fundamental components in many deep neural networks for machine learning tasks while deep neural network has also been widely used in CTR e…

cs.LG2020★ 17 cited

GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction

Tongwen Huang, Qingyun She, Zhiqiang Wang +1

Advertising and feed ranking are essential to many Internet companies such as Facebook. Among many real-world advertising and feed ranking systems, click through rate (CTR) predict…

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