2 citations · 2 across the 10 of their papers we have counts for
11 papers
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +355
Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…
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…
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…
MFA-DVR: Direct Volume Rendering of MFA Models
Jianxin Sun, David Lenz, Hongfeng Yu +1
3D volume rendering is widely used to reveal insightful intrinsic patterns of volumetric datasets across many domains. However, the complex structures and varying scales of volumet…