Ruishi Zou

Orcid: 0009-0001-3798-6833

Affiliations:
  • University of California, San Diego, La Jolla, CA, USA


According to our database1, Ruishi Zou authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Deco: Extending Personal Physical Objects into Pervasive AI Companion through a Dual-Embodiment Framework.
CoRR, May, 2026

Striking a Balance: Evaluating How Aggregations of Multiple Forecasts Impact Judgment Under Uncertainty.
Proceedings of the 19th IEEE Pacific Visualization Conference, 2026

MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Graphing Inline: Understanding Word-scale Graphics Use in Scientific Papers.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Chart2Vec: A Universal Embedding of Context-Aware Visualizations.
IEEE Trans. Vis. Comput. Graph., April, 2025

GistVis: Automatic Generation of Word-scale Visualizations from Data-rich Documents.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Designing Human-AI System for Legal Research: A Case Study of Precedent Search in Chinese Law.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Designing and Evaluating Sampling Strategies for Multiple-Forecast Visualization (MFV).
CoRR, 2024

More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023
More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering.
CoRR, 2023

iTutor: A Generative Tutorial System for Teaching the Elders to Use Smartphone Applications.
Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023


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