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researcher

Ying Tang

11 papers hereh-index 456 citations13 works total

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

author position
  • first author6
  • middle author4

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.HC4
  • cs.CL2
  • cs.LG2
  • cs.AI1
  • cs.CV1
  • cs.DB1
same name
  • Ying Tang — 8 papers, h 3
  • Ying Tang — 6 papers, h 2
  • Ying Tang — 5 papers, h 4
  • Ying Tang — 3 papers, h 3
  • Ying Tang — 2 papers, h 6
  • Ying Tang — 2 papers, h 2

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
20242026
most citedVIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing cs.HCShow all

4 papers · 1 filter

cs.HC2026

sketch-plot: Progressive Editing for Text-to-Image Academic Figures

Yinghao Tang, Yupeng Xie, Yingchaojie Feng +3

Text to image (T2I) models such as gpt-image-2 can now generate publication grade academic figures from a short prompt, but the output is a flat raster: a user who wants to change…

cs.HC2026

Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation

Yinghao Tang, Yupeng Xie, Yingchaojie Feng +3

Large language models can translate a researcher's intent into runnable matplotlib code, yet the resulting chart rarely lands in a paper without multiple rounds of manual revision.…

cs.HC2026

ViviDoc: Generating Interactive Documents through Human-Agent Collaboration

Yinghao Tang, Yupeng Xie, Yingchaojie Feng +4

Interactive documents help readers engage with complex ideas through dynamic visualization, interactive animations, and exploratory interfaces. However, creating such documents rem…

cs.HC2025

Exploring Multimodal Prompt for Visualization Authoring with Large Language Models

Zhen Wen, Luoxuan Weng, Yinghao Tang +5

Recent advances in large language models (LLMs) have shown great potential in automating the process of visualization authoring through simple natural language utterances. However,…

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