24 citations · 44 across the 6 of their papers we have counts for
10 papers
FootprintRAG: Visual Analytics for Evidence Context Refinement in RAG-based Scientific Literature Exploration
Xingyu Liu, Yu Dong, Qizhen Yu +7
Retrieval-Augmented Generation (RAG) is increasingly used to ground large language model (LLM) outputs in scientific literature. However, in open-ended literature exploration, the…
CATVis: A Collaborative Multi-Agent Workflow for Turbomachinery Simulation Data Visualization
Zhe Wang, Zehao Lou, Guanghui Zhao +6
Recent advances in AI for Science have enabled natural language (NL) interfaces for scientific data analysis. In turbomachinery CFD post-processing, translating ambiguous high-leve…
Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMs
Guanghui Zhao, Zhe Wang, Yu Dong +2
Scientific visualization pipelines encode domain-specific procedural knowledge with strict execution dependencies, making their construction sensitive to missing stages, incorrect…
T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring
Zhuoyun Zheng, Yu Dong, Gaorong Liang +6
Generative models have substantially expanded video generation capabilities, yet practical thought-to-video creation remains a multi-stage, multi-modal, and decision-intensive proc…
TemporalFlowViz: Parameter-Aware Visual Analytics for Interpreting Scramjet Combustion Evolution
Yifei Jia, Shiyu Cheng, Yu Dong +7
Understanding the complex combustion dynamics within scramjet engines is critical for advancing high-speed propulsion technologies. However, the large scale and high dimensionality…
AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations
Chi Zhang, Yu Dong, Yang Wang +3
Circular genome visualizations are essential for exploring structural variants and gene regulation. However, existing tools often require complex scripting and manual configuration…
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging
Guan Li, Yang Liu, Guihua Shan +4
Numerical simulation serves as a cornerstone in scientific modeling, yet the process of fine-tuning simulation parameters poses significant challenges. Conventionally, parameter ad…
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
Guan Li, Junpeng Wang, Han-Wei Shen +3
Convolutional neural networks (CNNs) have demonstrated extraordinarily good performance in many computer vision tasks. The increasing size of CNN models, however, prevents them fro…
Interactive Visual Exploration of Halos in Large Scale Cosmology Simulation
Guihua Shan, Maojin Xie, FengAn Li +2
Halo is one of the most important basic elements in cosmology simulation, which merges from small clumps to ever larger objects. The processes of the birth and merging of the halos…
Bulk flow of halos in ΛCDM simulation
Ming Li, Jun Pan, Liang Gao +10
Analysis of the Pangu N-body simulation validates that the bulk flow of halos follows a Maxwellian distribution which variance is consistent with the prediction of the linear theor…