◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Peng Zhang

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG1
  • cs.NE1
same name
  • Peng Zhang — 26 papers, h 24
  • Peng Zhang — 11 papers
  • Peng Zhang — 10 papers, h 13
  • Peng Zhang — 10 papers, h 26
  • Peng Zhang — 9 papers
  • Peng Zhang — 8 papers

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
20192021
most citedTensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling

4 citations · 5 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2021

GIPA: General Information Propagation Algorithm for Graph Learning

Qinkai Zheng, Houyi Li, Peng Zhang +4

Graph neural networks (GNNs) have been popularly used in analyzing graph-structured data, showing promising results in various applications such as node classification, link predic…

cs.CL2020★ 4 cited

TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling

Shuai Zhang, Peng Zhang, Xindian Ma +3

Transformer has been widely-used in many Natural Language Processing (NLP) tasks and the scaled dot-product attention between tokens is a core module of Transformer. This attention…

cs.NE2020★ 1 cited

Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder

Desheng Wang, Jiawei Liu, Xiang Qi +2

Regular expression is important for many natural language processing tasks especially when used to deal with unstructured and semi-structured data. This work focuses on automatical…

cs.CL2019

Encoding word order in complex embeddings

Benyou Wang, Donghao Zhao, Christina Lioma +3

Sequential word order is important when processing text. Currently, neural networks (NNs) address this by modeling word position using position embeddings. The problem is that posi…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.