18 citations · 20 across the 11 of their papers we have counts for
12 papers
Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores
Yu Pan, Hongfeng Yu
Retrieval-augmented generation treats the document store as a frozen input, and the offline pipelines that do build structure over it build it unsupervised -- a whole corpus indexe…
SASAV: Self-Directed Agent for Scientific Analysis and Visualization
Jianxin Sun, David Lenz, Tom Peterka +1
With recent advances in frontier multimodal large language models (MLLMs) for data understanding and visual reasoning, the role of LLMs has evolved from passive LLM-as-an-interface…
AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation
Zhaohe Liao, Kaixun Jiang, Zhihang Liu +11
Although image generation has boosted various applications via its rapid evolution, whether the state-of-the-art models are able to produce ready-to-use academic illustrations for…
SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
Kuangshi Ai, Haichao Miao, Kaiyuan Tang +13
Recent advances in large language models (LLMs) have enabled agentic systems to translate natural-language intent into executable scientific visualization (SciVis) tasks. Despite r…
F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding
Jianxin Sun, David Lenz, Hongfeng Yu +1
Interactive time-varying volume visualization is challenging due to its complex spatiotemporal features and sheer size of the dataset. Recent works transform the original discrete…
Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization using Reconstruction Neural Networks
Jianxin Sun, David Lenz, Hongfeng Yu +1
Visualizing a large-scale volumetric dataset with high resolution is challenging due to the substantial computational time and space complexity. Recent deep learning-based image in…
Can Language Models Enable In-Context Database?
Yu Pan, Hongfeng Yu, Tianjiao Zhao +1
Large language models (LLMs) are emerging as few-shot learners capable of handling a variety of tasks, including comprehension, planning, reasoning, question answering, arithmetic…
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis
Yu Pan, Jianxin Sun, Hongfeng Yu +5
Current agricultural data management and analysis paradigms are to large extent traditional, in which data collecting, curating, integration, loading, storing, sharing and analyzin…
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation
Jianxin Sun, David Lenz, Hongfeng Yu +1
Functional approximation as a high-order continuous representation provides a more accurate value and gradient query compared to the traditional discrete volume representation. Vol…
Transforming Agriculture with Intelligent Data Management and Insights
Yu Pan, Jianxin Sun, Hongfeng Yu +4
Modern agriculture faces grand challenges to meet increased demands for food, fuel, feed, and fiber with population growth under the constraints of climate change and dwindling nat…
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation
Jianxin Sun, David Lenz, Hongfeng Yu +1
Considering the challenges posed by the space and time complexities in handling extensive scientific volumetric data, various data representations have been developed for the analy…
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer
Yu Shi, Hannah Tang, Michael Baine +5
Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging a…