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Shusen Liu

9 papers hereh-index 553 citations10 works total

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

author position
  • first author1
  • middle author3
  • last author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.HC4
  • cs.CL1
same name
  • Shusen Liu — 6 papers, h 2
  • Shusen Liu — 4 papers, h 1
  • Shusen Liu — 3 papers, h 1
  • Shusen Liu — 3 papers, h 2
  • Shusen Liu — 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
20242026
collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Exploring LLM Agent Designs and Interaction Modalities for Scientific Visualization

Jackson Vonderhorst, Kuangshi Ai, Haichao Miao +2

This paper examines how large language model (LLM) agents perform on scientific visualization (SciVis) tasks that require generating visualization workflows from natural-language i…

cs.AI2026

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents

Kuangshi Ai, Haichao Miao, Kaiyuan Tang +13

Recent advances in large language models (LLMs) have enabled agentic systems to translate natural-language intent into executable scientific visualization (SciVis) tasks. Despite r…

cs.AI2026

SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization

Kuangshi Ai, Haichao Miao, Kaiyuan Tang +2

Recent advances in agentic visualization have enabled the translation of natural language into executable scientific visualization (SciVis) workflows. While general-purpose coding…

cs.AI2026

Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks

Haichao Miao, Zhimin Li, Kuangshi Ai +4

The ability to inspect, interpret, and communicate complex data is crucial for virtually any scientific endeavor, but often requires significant expertise outside the core domain r…

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