activity
20212026
most citedTowards Natural Language Interfaces for Data Visualization: A Survey

181 citations · 325 across the 23 of their papers we have counts for

collaborators

27 papers

cs.HC2026

Live Artifacts: Authoring Dynamic Media via Live Layers Encapsulating Generative Specifications

Leixian Shen, Haotian Li, Hugo Romat +3

We frame Live Artifacts as a class of persistent generative media between static assets and interactive software. Unlike conventional generative outputs that collapse into static f…

cs.AI2026

TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring

Dongjie Yang, Siyan Lin, Leixian Shen +3

Large language models (LLMs) are increasingly used to provide conversational practice for English-as-a-second-language (ESL) learners. Effective ESL tutoring, however, requires mor…

cs.DB2026

Exploring Agentic Visual Analytics: A Co-Evolutionary Framework of Roles and Workflows

Tianqi Luo, Leixian Shen, Yuyu Luo

Agentic visual analytics (VA) represents an emerging class of systems in which large language model (LLM)-driven agents autonomously plan, execute, evaluate, and iterate across the…

cs.HC2026

StoryLensEdu: Personalized Learning Report Generation through Narrative-Driven Multi-Agent Systems

Leixian Shen, Yan Luo, Rui Sheng +4

Personalized feedback plays an important role in self-regulated learning (SRL), helping students track progress and refine their strategies. However, current common solutions, such…

cs.HC2025★ 3 cited

Interaction-Augmented Instruction: Modeling the Synergy of Prompts and Interactions in Human-GenAI Collaboration

Leixian Shen, Yifang Wang, Huamin Qu +2

Text prompt is the most common way for human-generative AI (GenAI) communication. Though convenient, it is challenging to convey fine-grained and referential intent. One promising…

cs.HC2025★ 9 cited

NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification

Wenshuo Zhang, Leixian Shen, Shuchang Xu +4

Conversational LLMs have been widely adopted by domain users with limited programming experience to solve domain problems. However, these users often face misalignment between thei…

cs.CL2025

ChartMark: A Structured Grammar for Chart Annotation

Yiyu Chen, Yifan Wu, Shuyu Shen +4

Chart annotations enhance visualization accessibility but suffer from fragmented, non-standardized representations that limit cross-platform reuse. We propose ChartMark, a structur…

cs.HC2025

SceneLoom: Communicating Data with Scene Context

Lin Gao, Leixian Shen, Yuheng Zhao +3

In data-driven storytelling contexts such as data journalism and data videos, data visualizations are often presented alongside real-world imagery to support narrative context. How…

cs.HC2025

How Does Empirical Research Facilitate Creation Tool Design? A Data Video Perspective

Leixian Shen, Leni Yang, Haotian Li +3

Empirical research in creative design deepens our theoretical understanding of design principles and perceptual effects, offering valuable guidance for innovating creation tools. H…

cs.CL2025

ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding

Yifan Wu, Lutao Yan, Leixian Shen +3

The emergence of Multi-modal Large Language Models (MLLMs) presents new opportunities for chart understanding. However, due to the fine-grained nature of these tasks, applying MLLM…

cs.HC2025

Prompting Generative AI with Interaction-Augmented Instructions

Leixian Shen, Haotian Li, Yifang Wang +2

The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only…

cs.CL2025

nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning

Tianqi Luo, Chuhan Huang, Leixian Shen +5

Text-to-Visualization (Text2VIS) enables users to create visualizations from natural language queries, making data insights more accessible. However, Text2VIS faces challenges in i…

cs.HC2025

Reflecting on Design Paradigms of Animated Data Video Tools

Leixian Shen, Haotian Li, Yun Wang +1

Animated data videos have gained significant popularity in recent years. However, authoring data videos remains challenging due to the complexity of creating and coordinating diver…

cs.HC2025

Composing Data Stories with Meta Relations

Haotian Li, Lu Ying, Leixian Shen +3

To facilitate the creation of compelling and engaging data stories, AI-powered tools have been introduced to automate the three stages in the workflow: analyzing data, organizing f…

cs.HC2024

Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co-Debugging System

Shuyu Shen, Sirong Lu, Leixian Shen +1

Visualization authoring is an iterative process requiring users to adjust parameters to achieve desired aesthetics. Due to its complexity, users often create defective visualizatio…

cs.HC2024★ 1 cited

Data Playwright: Authoring Data Videos with Annotated Narration

Leixian Shen, Haotian Li, Yun Wang +3

Creating data videos that effectively narrate stories with animated visuals requires substantial effort and expertise. A promising research trend is leveraging the easy-to-use natu…

cs.HC2024★ 13 cited

Narrative Player: Reviving Data Narratives with Visuals

Zekai Shao, Leixian Shen, Haotian Li +4

Data-rich documents are commonly found across various fields such as business, finance, and science. However, a general limitation of these documents for reading is their reliance…

cs.HC2024★ 1 cited

From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems

Leixian Shen, Haotian Li, Yun Wang +1

Creating data stories from raw data is challenging due to humans' limited attention spans and the need for specialized skills. Recent advancements in large language models (LLMs) o…

cs.HC2024★ 11 cited

NotePlayer: Engaging Jupyter Notebooks for Dynamic Presentation of Analytical Processes

Yang Ouyang, Leixian Shen, Yun Wang +1

Diverse presentation formats play a pivotal role in effectively conveying code and analytical processes during data analysis. One increasingly popular format is tutorial videos, pa…

cs.HC2024★ 10 cited

PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis

Yue Yu, Leixian Shen, Fei Long +2

Exploratory visual data analysis tools empower data analysts to efficiently and intuitively explore data insights throughout the entire analysis cycle. However, the gap between com…

cs.CL2024★ 1 cited

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Yifan Wu, Lutao Yan, Leixian Shen +3

Chart question answering (ChartQA) tasks play a critical role in interpreting and extracting insights from visualization charts. While recent advancements in multimodal large langu…

cs.HC2023

Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay

Leixian Shen, Yizhi Zhang, Haidong Zhang +1

Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing atte…

cs.HC2023★ 1 cited

WonderFlow: Narration-Centric Design of Animated Data Videos

Yun Wang, Leixian Shen, Zhengxin You +5

Creating an animated data video enriched with audio narration takes a significant amount of time and effort and requires expertise. Users not only need to design complex animations…

cs.DS2022★ 1 cited

Graph Exploration with Embedding-Guided Layouts

Leixian Shen, Zhiwei Tai, Enya Shen +1

Node-link diagrams are widely used to visualize graphs. Most graph layout algorithms only use graph topology for aesthetic goals (e.g., minimize node occlusions and edge crossings)…