29 citations · 40 across the 15 of their papers we have counts for
15 papers
MolecularCanvas: LLM-assisted Small-Molecule Drug Discovery via Structure-Guided Constraints
Haoyu Dong, Rui Sheng, Shuhao Zhang +7
Small-molecule drug discovery relies on iterative molecular optimization, where chemists repeatedly modify candidate compounds to balance multiple competing properties such as effi…
VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs
Yurui Xiang, Xingyi Mao, Rui Sheng +7
Large language models (LLMs) show promise in medical diagnosis, but real-world deployment remains challenging due to high-stakes clinical decisions and imperfect reasoning reliabil…
Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
Yanjie Zhang, Yafei Li, Rui Sheng +5
Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to their deceptive visual structures and distorted data representations.…
VizQStudio: Iterative Visualization Literacy MCQs Design with Simulated Students
Zixin Chen, Yuhang Zeng, Sicheng Song +4
Multiple-choice questions (MCQs) are a widely used educational tool, particularly in domains such as visualization literacy that require broad conceptual coverage and support diver…
DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviors
Rui Sheng, Yukun Yang, Chuhan Shi +4
Large language model (LLM)-based multi-agent systems have demonstrated impressive capabilities in handling complex tasks. However, the complexity of agentic behaviors makes these s…
RhythmTA: A Visual-Aided Interactive System for ESL Rhythm Training via Dubbing Practice
Chang Chen, Sicheng Song, Shuchang Xu +3
English speech rhythm, the temporal patterns of stressed syllables, is essential for English as a second language (ESL) learners to produce natural-sounding and comprehensible spee…
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
Zixin Chen, Sicheng Song, Kashun Shum +4
Misleading visualizations, which manipulate chart representations to support specific claims, can distort perception and lead to incorrect conclusions. Despite decades of research,…
InterLink: Linking Text with Code and Output in Computational Notebooks
Yanna Lin, Leni Yang, Haotian Li +2
Computational notebooks, widely used for ad-hoc analysis and often shared with others, can be difficult to understand because the standard linear layout is not optimized for readin…
OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through Outlines
Fengjie Wang, Yanna Lin, Leni Yang +4
Computational notebooks are widely utilized for exploration and analysis. However, creating slides to communicate analysis results from these notebooks is quite tedious and time-co…
VIOLET: Visual Analytics for Explainable Quantum Neural Networks
Shaolun Ruan, Zhiding Liang, Qiang Guan +4
With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum…
InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks
Yanna Lin, Haotian Li, Leni Yang +2
Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document. Ef…
VENUS: A Geometrical Representation for Quantum State Visualization
Shaolun Ruan, Ribo Yuan, Qiang Guan +6
Visualizations have played a crucial role in helping quantum computing users explore quantum states in various quantum computing applications. Among them, Bloch Sphere is the widel…
DMiner: Dashboard Design Mining and Recommendation
Yanna Lin, Haotian Li, Aoyu Wu +2
Dashboards, which comprise multiple views on a single display, help analyze and communicate multiple perspectives of data simultaneously. However, creating effective and elegant da…
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
Furui Cheng, Dongyu Liu, Fan Du +5
Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model…
Composition and Configuration Patterns in Multiple-View Visualizations
Xi Chen, Wei Zeng, Yanna Lin +3
Multiple-view visualization (MV) is a layout design technique often employed to help users see a large number of data attributes and values in a single cohesive representation. Bec…