papers

Publications (17)

cs.CV2024

SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation

Liangyu Xu, Wanxuan Lu, Hongfeng Yu +3

Extrapolating future weather radar echoes from past observations is a complex task vital for precipitation nowcasting. The spatial morphology and temporal evolution of radar echoes…

cs.GR2025

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…

cs.DB2024

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…

cs.AI2024

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…

cs.LG2023

Assessing Deep Neural Networks as Probability Estimators

Yu Pan, Kwo-Sen Kuo, Michael L. Rilee +1

Deep Neural Networks (DNNs) have performed admirably in classification tasks. However, the characterization of their classification uncertainties, required for certain applications…

cs.CV2024

ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery

Xian Sun, Qiwei Yan, Chubo Deng +8

Scene Graph Generation (SGG) is a high-level visual understanding and reasoning task aimed at extracting entities (such as objects) and their interrelationships from images. Signif…

cs.GR2023

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…

cs.DB2023

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…

cs.CV2024

TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes

Liangyu Xu, Wanxuan Lu, Hongfeng Yu +5

As drone technology advances, using unmanned aerial vehicles for aerial surveys has become the dominant trend in modern low-altitude remote sensing. The surge in aerial video data…

cs.GR2026

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…

nlin.PS2023

New Exact Solutions Of General Degasperis-Procesi Equations In Plasmas

Bingnuo Yang, Weinan Wu, Hongfeng Yu +1

In this paper, a new exact solution of general Degasperis-Procesi (gDP) equation, a nonlinear equation in plasma, will be constructed by using PPA method, extended trigonometry and…

eess.IV2023

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…

cs.GR2025

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…

cs.AI2026

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…

cs.GR2024

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…

cs.GR2017

MLSEB: Edge Bundling using Moving Least Squares Approximation

Jieting Wu, Jianping Zeng, Feiyu Zhu +1

Edge bundling methods can effectively alleviate visual clutter and reveal high-level graph structures in large graph visualization. Researchers have devoted significant efforts to…

cs.DC2023

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…