124 citations · 204 across the 20 of their papers we have counts for
21 papers
DeepConnect: A Visual Analytics System for Bridging Interdisciplinary Research Collaborations
Yingchaojie Feng, Zekai Shao, Yiqun Sun +2
Interdisciplinary research collaboration is crucial for scientific innovation, but it remains difficult to initiate in practice. Existing collaborator discovery approaches are ofte…
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…
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.…
What Will Happen Next: Large Models-Driven Deduction for Emergency Instances
Zhengqing Hu, Dong Chen, Junkun Yuan +6
Traditional simulation methods reproduce occurred emergency instances through presetting to assist people in risk assessment and emergency decision-making. However, due to the lack…
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…
Visualization of Machine Learning Models through Their Spatial and Temporal Listeners
Siyu Wu, Lei Shi, Lei Xia +5
Model visualization (ModelVis) has emerged as a major research direction, yet existing taxonomies are largely organized by data or tasks, making it difficult to treat models as fir…
Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration
Yinghao Tang, Yupeng Xie, Yingchaojie Feng +2
Interactive articles help readers engage with complex ideas through exploration, yet creating them remains costly, requiring both domain expertise and web development skills. Recen…
RAGExplorer: A Visual Analytics System for the Comparative Diagnosis of RAG Systems
Haoyu Tian, Yingchaojie Feng, Zhen Wen +3
The advent of Retrieval-Augmented Generation (RAG) has significantly enhanced the ability of Large Language Models (LLMs) to produce factually accurate and up-to-date responses. Ho…
IDRBench: Benchmarking the Interactive Capabilities of Deep Research Agents
Yingchaojie Feng, Qiang Huang, Xiaoya Xie +4
Large Language Model (LLM)-based deep research agents perform multi-step reasoning, web exploration, and long-form report generation. In these long-horizon workflows, early deviati…
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
Yinghao Tang, Xueding Liu, Boyuan Zhang +13
Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) mod…
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
Ke Wang, Bo Pan, Yingchaojie Feng +4
Graph-based Retrieval-Augmented Generation (RAG) has shown great capability in enhancing Large Language Model (LLM)'s answer with an external knowledge base. Compared to traditiona…
Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation
Yingchaojie Feng, Yiqun Sun, Yandong Sun +4
In this work, we investigate an important task named instruction-following text embedding, which generates dynamic text embeddings that adapt to user instructions, highlighting spe…
DataLab: A Unified Platform for LLM-Powered Business Intelligence
Luoxuan Weng, Yinghao Tang, Yingchaojie Feng +18
Business intelligence (BI) transforms large volumes of data within modern organizations into actionable insights for informed decision-making. Recently, large language model (LLM)-…
CultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language Model
Wei Zhang, Wong Kam-Kwai, Biying Xu +5
The integration of new technology with cultural studies enhances our understanding of cultural heritage but often struggles to connect with diverse audiences. It is challenging to…
AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration
Bo Pan, Jiaying Lu, Ke Wang +5
The potential of automatic task-solving through Large Language Model (LLM)-based multi-agent collaboration has recently garnered widespread attention from both the research communi…
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
Yingchaojie Feng, Zhizhang Chen, Zhining Kang +5
The proliferation of large language models (LLMs) has underscored concerns regarding their security vulnerabilities, notably against jailbreak attacks, where adversaries design jai…
InsightLens: Augmenting LLM-Powered Data Analysis with Interactive Insight Management and Navigation
Luoxuan Weng, Xingbo Wang, Junyu Lu +5
The proliferation of large language models (LLMs) has revolutionized the capabilities of natural language interfaces (NLIs) for data analysis. LLMs can perform multi-step and compl…
AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Jiaying Lu, Bo Pan, Jieyi Chen +4
Recently, Large Language Model based Autonomous system(LLMAS) has gained great popularity for its potential to simulate complicated behaviors of human societies. One of its main ch…
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong +5
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. Howev…
Computational Approaches for Traditional Chinese Painting: From the "Six Principles of Painting" Perspective
Wei Zhang, Jian-Wei Zhang, Kam Kwai Wong +4
Traditional Chinese Painting (TCP) is an invaluable cultural heritage resource and a unique visual art style. In recent years, increasing interest has been placed on digitalizing T…
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
Yingchaojie Feng, Xingbo Wang, Bo Pan +7
Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding…