Publications

2025

  1. TG.png
    A General Framework for Augmenting Lossy Compressors with Topological Guarantees
    Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, and Bei Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG, IEEE Pacific Visualization Symposium (PacificVis) TVCG Journal Track), 2025
    PDF
  2. VGTC.png
    Topology-Based Visualization Techniques for Scientific Data Exploration
    Lin Yan
    IEEE Computer Graphics and Applications, 2025

2024

  1. MSz.png
    MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors
    Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, and Hanqi Guo
    IEEE Transactions on Visualization and Computer Graphics (TVCG, Proceedings of IEEE Visualization Conference), 2024
    arXiv PDF
  2. AR.png
    Topological Characterization and Uncertainty Visualization of Atmospheric Rivers
    Fangfei Lan, Brandi Gamelin, Lin Yan, Jiali Wang, Bei Wang, and Hanqi Guo
    Computer Graphics Forum, Proceedings of Eurographics Conference on Visualization (EuroVis), 2024
    PDF

2023

  1. MRF.png
    Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison
    Lin Yan, Paul Aaron Ullrich, Luke P Van Roekel, Bei Wang, and Hanqi Guo
    Computer Graphics Forum, 2023
    arXiv DOI PDF
  2. TROPHY.png
    TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones
    Lin Yan, Hanqi Guo, Tom Peterka, Bei Wang, and Jiali Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG, Proceedings of IEEE Visualization Conference), 2023
    arXiv PDF
  3. TopoSZ.png
    TopoSZ: Preserving Topology in Error-Bounded Lossy Compression
    Lin Yan, Xin Liang, Hanqi Guo, and Bei Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG, Proceedings of IEEE Visualization Conference), 2023
    arXiv PDF
  4. SketchingMT.png
    Sketching Merge Trees for Scientific Visualization
    Mingzhe Li, Sourabh Palande, Lin Yan, and Bei Wang
    IEEE Workshop on Topological Data Analysis and Visualization (TopoInVis) at IEEE VIS, accepted, 2023
    arXiv PDF

2022

  1. geometryAware.png
    Geometry-Aware Merge Tree Comparisons for Time-Varying Data With Interleaving Distances
    Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, and Bei Wang
    IEEE Transactions on Visualization and Computer Graphics, 2022
    arXiv DOI PDF Code

2021

  1. STAR-MT.png
    Scalar field comparison with topological descriptors: Properties and applications for scientific visualization
    Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, and Bei Wang
    Computer Graphics Forum, Proceedings of Eurographics Conference on Visualization (EuroVis) STAR, 2021
    arXiv DOI PDF

2020

  1. UncertianMC.png
    Uncertainty visualization of 2D Morse complex ensembles using statistical summary maps
    Tushar M Athawale, Dan Maljovec, Lin Yan, Chris R Johnson, Valerio Pascucci, and Bei Wang
    IEEE Transactions on Visualization and Computer Graphics, 2020
    DOI PDF
  2. STAR-timeVF.png
    State of the art in time-dependent flow topology: Interpreting physical meaningfulness through mathematical properties
    Roxana Bujack, Lin Yan, Ingrid Hotz, Christoph Garth, and Bei Wang
    Computer Graphics Forum, Proceedings of Eurographics Conference on Visualization (EuroVis) STAR, 2020
    DOI PDF

2019

  1. AMT.png
    A structural average of labeled merge trees for uncertainty visualization
    Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, and Bei Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG, Proceedings of IEEE Visualization Conference), 2019
    arXiv DOI PDF Code

2018

  1. HIsomap.png
    Homology-preserving dimensionality reduction via manifold landmarking and tearing
    Lin Yan, Yaodong Zhao, Paul Rosen, Carlos Scheidegger, and Bei Wang
    Symposium on Visualization in Data Science (VDS) at IEEE VIS, 2018
    arXiv PDF Code

2016

  1. Protein.png
    From protein sequence to protein function via multi-label linear discriminant analysis
    Hua Wang, Lin Yan, Heng Huang, and Chris Ding
    IEEE/ACM transactions on computational biology and bioinformatics, 2016
    DOI PDF

2015

  1. Anatomical annotations for drosophila gene expression patterns via multi-dimensional visual descriptors integration: Multi-dimensional feature learning
    Hongchang Gao, Lin Yan, Weidong Cai, and Heng Huang
    In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
    DOI
  2. connectome.png
    Identifying connectome module patterns via new balanced multi-graph normalized cut
    Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquin Goni Cortes, Yang Wang, Feiping Nie, John West, Andrew Saykin, Li Shen, and  others
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015
    DOI PDF

2013

  1. Advantage Analysis and Verification of GPS/Beidou Integrated Satellite Navigation System
    Lin Yan, and Xingqun Zhan
    Journal of Shanghai Jiaotong University, 2013
    DOI