The world is noisy.

Can we peek the truth from data?

Can we use visualization to help understand the truth?

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Linhao Meng

Data visualization | Visual analytics | Explainable AI

Hi! My name is Linhao Meng. I am currently a 4th year Ph.D. student in Computer Science at Eindhoven Univeristy of Technology advised by Prof. Anna Vilanova and Dr. van den Elzen. My research focuses on designing visualizations and creating interactive tools to enhance human’s ability to understand data and models in machine learning tasks.

I believe in the power of visualization to unveil latent patterns within data and facilitate communication between human and data.

Featured Publications
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2023)
ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection
Linhao Meng, Stef van den Elzen, Anna Vilanova
Computer Graphics Forum (EuroVis 2022)
Visual Reasoning for Uncertainty in Spatio-Temporal Events of Historical Figures
Wei Zhang, Siwei Tan, Siming Chen, Linhao Meng, Tianye Zhang, Rongcheng Zhu, Wei Chen
IEEE Transactions on Visualization and Computer Graphics 2022
VADAF: Visualization for Abnormal Client Detection and Analysis in Federated Learning
Linhao Meng, Yating Wei, Rusheng Pan, Shuyue Zhou, Jianwei Zhang, Wei Chen
ACM Transactions on Interactive Intelligent Systems 2021
Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data
Zhiguang Zhou, Linhao Meng, Cheng Tang, Ying Zhao, Zhiyong Guo, Miaoxin Hu, Wei Chen
IEEE Transactions on Visualization and Computer Graphics (VAST 2018)
Visualization Projects
Sequence View Plugin
Sequence View Plugin is a visualization plugin engine for SynBioHub to enhance the functional annotations of DNA sequence which are coordinated with the SBOL Visual standard. This project is done under NRNB in Google Summer of Code Program.
How Do the British Discuss Brexit
An animated bubble chart is developed to visualize the dynamic of twitter hashtags related to Brexit topics from 2016 to 2019. This project is part of Brexit visualization story project collaborated with China Central Television Europe.