Faculty

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MA, Yuxin
Associate Professor
CVM Journal Honorable Mention Award, 2017; Lu Zengyong CAD&CG High-Tech Award(Third Prize), 2016
mayx@sustech.edu.cn

1. Research Areas:

Data Visualization, Visual Analytics, Explainable AI


2. Education Background:

2012.09- 2017.12:Ph.D. in Computer Science and Technology, Zhejiang University

2008.09- 2012.06:BSc in Software Engineering, Zhejiang University


3. Working Experience:

•2021-Present:Assistant Professor, Department of Computer Science and Engineering, SUSTech

2018– 2021:Postdoctoral Research Associate, CIDSE, Arizona State University

2016.01 – 2017.01:Research Intern, SeSaMe Research Center, National University of Singapore


4. Papers:

Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, and Ross Maciejewski. FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Transactions on Visualization and Computer Graphics (Proc. VIS 2021). 2021.


Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, and Ross Maciejewski. A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes. IEEE Transactions on Visualization and Computer Graphics, 27(2):1385-1395. 2021.


Tiankai Xie, Yuxin Ma, Hanghang Tong, My Thai, and Ross Maciejewski. Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 27(2):1459-1469. 2021.


Yuxin Ma and Ross Maciejewski. Visual Analysis of Class Separations with Locally Linear Segments. IEEE Transactions on Visualization and Computer Graphics, 27(1):241-253. 2021.


Yuxin Ma, Prannoy Chandra Pydi Medini, Jake R. Nelson, Ran Wei, Tony H. Grubesic, Jorge Sefair, and Ross Maciejewski. A Visual Analytics System for Oil Spill Response and Recovery. IEEE Computer Graphics and Applications. 2020. (Early Access)


Yuxin Ma, Tiankai Xie, Jundong Li, and Ross Maciejewski. Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 26(1):1075-1085. 2020.


Yuxin Ma, Anthony K. H. Tung, Wei Wang, Xiang Gao, Zhigeng Pan, and Wei Chen. ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots. IEEE Transactions on Visualization and Computer Graphics, 26(3):1562-1576. 2020.

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