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researcher

Kai Wang

15 papers here

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

author position
  • sole author1
  • first author4
  • middle author9
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL4
  • cs.GR1
  • cs.LG1
  • cs.RO1
  • eess.IV1
same name
  • Kai Wang — 36 papers
  • Kai Wang — 15 papers, h 24
  • Kai Wang — 12 papers
  • Kai Wang — 11 papers, h 13
  • Kai Wang — 10 papers, h 22
  • Kai Wang — 9 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
20192022
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 146 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2020★ 6 cited

Multi-Domain Dialogue Acts and Response Co-Generation

Kai Wang, Junfeng Tian, Rui Wang +2

Generating fluent and informative responses is of critical importance for task-oriented dialogue systems. Existing pipeline approaches generally predict multiple dialogue acts firs…

cs.CL2020★ 48 cited

Relational Graph Attention Network for Aspect-based Sentiment Analysis

Kai Wang, Weizhou Shen, Yunyi Yang +2

Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network model…

cs.CL2019

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

Liang Zhao, Zhiyuan Ma, Yangming Zhou +3

Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patien…

cs.CL2019★ 2 cited

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

Kai Wang, Xiaojun Quan, Rui Wang

The success of neural summarization models stems from the meticulous encodings of source articles. To overcome the impediments of limited and sometimes noisy training data, one pro…

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