1. 研究方向：
數(shù)據(jù)可視化、可視分析、可解釋人工智能
2. 教育背景：
2012.09- 2017.12：浙江大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)專業(yè)博士
2008.09- 2012.06：浙江大學(xué)軟件工程專業(yè)學(xué)士
3. 工作經(jīng)歷：
2021-至今 南方科技大學(xué) 計(jì)算機(jī)科學(xué)與工程系 助理教授
2018- 2021：亞利桑那州立大學(xué)博士后
2016.01 – 2017.01：新加坡國立大學(xué)實(shí)習(xí)研究員
4. 代表文章：
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.
