Lin Yan

According to our database, Lin Yan authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

TopoSZ: Preserving Topology in Error-Bounded Lossy Compression.

Lin Yan, Xin Liang, Hanqi Guo, Bei Wang

IEEE Trans. Vis. Comput. Graph., January, 2024

TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones.

Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang

IEEE Trans. Vis. Comput. Graph., January, 2024

2023

Multilevel Robustness for 2D Vector Field Feature Tracking, Selection and Comparison.

Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo

Comput. Graph. Forum, September, 2023

Geometry-Aware Merge Tree Comparisons for Time-Varying Data With Interleaving Distances.

Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, Bei Wang

IEEE Trans. Vis. Comput. Graph., August, 2023

Flexible and Probabilistic Topology Tracking with Partial Optimal Transport.

Mingzhe Li, Xinyuan Yan, Lin Yan, Tom Needham, Bei Wang

CoRR, 2023

2022

Merge Trees and Their Variants for Scientific Visualization.

Lin Yan

PhD thesis, 2022

Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps.

Tushar M. Athawale, Dan Maljovec, Lin Yan, Chris R. Johnson, Valerio Pascucci, Bei Wang

IEEE Trans. Vis. Comput. Graph., 2022

A Novel Sensor System for In Vivo Perception Reconstruction Based on Long Short-Term Memory Networks.

Ding Han, Guozheng Yan, Lichao Wang, Fangfang Hua, Lin Yan

Sensors, 2022

2021

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, Bei Wang

Comput. Graph. Forum, 2021

2020

A Structural Average of Labeled Merge Trees for Uncertainty Visualization.

Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang

IEEE Trans. Vis. Comput. Graph., 2020

State of the Art in Time-Dependent Flow Topology: Interpreting Physical Meaningfulness Through Mathematical Properties.

Roxana Bujack, Lin Yan, Ingrid Hotz, Christoph Garth, Bei Wang

Comput. Graph. Forum, 2020

2018

Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing.

Lin Yan, Yaodong Zhao, Paul Rosen, Carlos Scheidegger, Bei Wang

CoRR, 2018

2017

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.

Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2015

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut.

Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning.

Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015