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David Lenz

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
2021 · Hanqi Guo, David Lenz, et al. · IEEE Transactions on Visualization and Computer Graphics · 19
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Customizable adaptive regularization techniques for B-spline modeling
2023 · David Lenz, Raine Yeh, et al. · Journal of Computational Science · 15
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SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
2026 · Ai, Kuangshi, Miao, Haichao, et al. · arXiv (Cornell University) · 11
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ChatVis: Large Language Model Agent for Generating Scientific Visualizations
2025 · Tom Peterka, Tanwi Mallick, et al. · IEEE Symposium on Large Data Analysis and Visualization · 9
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Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation
2023 · Jianxin Sun, David Lenz, et al. · IEEE International Conference on Big Data (BigData) · 9
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Fourier-informed knot placement schemes for B-spline approximation
2023 · David Lenz, Oana Marin, et al. · Mathematics and Computers in Simulation · 9
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation
2024 · Jianxin Sun, David Lenz, et al. · IEEE Symposium on Large Data Analysis and Visualization · 7
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SASAV: Self-Directed Agent for Scientific Analysis and Visualization
2026 · Sun, Jianxin, Lenz, David, et al. · arXiv (Cornell University) · 6
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Adaptive Regularization of B-Spline Models for Scientific Data
2022 · David Lenz, Raine Yeh, et al. · Lecture notes in computer science · 6
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Accelerating multivariate functional approximation computation with domain decomposition techniques
2024 · Vijay Mahadevan, David Lenz, et al. · Journal of Computational Science · 5
Multivariate Functional Approximation of Scientific Data
2022 · Tom Peterka, Youssef Nashed, et al. · Mathematics and visualization · 5
Critical Point Extraction from Multivariate Functional Approximation
2024 · Guanqun Ma, David Lenz, et al. · 4
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Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs
2025 · Guanqun Ma, David Lenz, et al. · IEEE Symposium on Large Data Analysis and Visualization · 3
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F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding
2025 · Jianxin Sun, David Lenz, et al. · IEEE Transactions on Visualization and Computer Graphics · 2
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Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data
2023 · Tom Peterka, David Lenz, et al. · IEEE Symposium on Large Data Analysis and Visualization · 2
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
2023 · Vijay Mahadevan, David Lenz, et al. · Lecture notes in computer science · 2
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
2026 · Sinha, Sujata, Rao, Vishwas, et al. · arXiv (Cornell University) · 1
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Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization Using Reconstruction Neural Networks
2025 · Jianxin Sun, David Lenz, et al. · IEEE Transactions on Visualization and Computer Graphics · 1
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A physics-informed B-spline reconstruction of flow data
2026 · Junoh Jung, David Lenz, et al. · Computer Methods in Applied Mechanics and Engineering
A Physics-Informed B-Spline Reconstruction of Flow Data: Reproducibility Package
2026 · Jung, Junoh, Lenz, David, et al. · Zenodo (CERN European Organization for Nuclear Research)
ISTARI Global Organization Index
2026 · Kinne, Jan, Lenz, David, et al. · Zenodo (CERN European Organization for Nuclear Research)
Direct Topology Tracking in Continuous Implicit Models
2026 · Ma, Guanqun, Lenz, David, et al. · arXiv (Cornell University)
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Fast Line Integration of B-Spline Data Models
2026 · David Lenz, Tom Peterka · Data Science in Science
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Bridging Information Theory and Practice for Scientific Lossy Compression
2026 · Sujata Sinha, Sheng Di, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
A Physics-Informed B-Spline Framework for Continuous Approximation of Flow Data
2026 · Jung, Junoh, Lenz, David, et al. · arXiv (Cornell University)
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Works count: 29
Citation count: 116
H-index: 7
I10-index: 3
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