副教授 计算机科学与工程系
马昱欣,南方科技大学计算机科学与工程系副教授、研究员,先后于2012年、2017年在浙江大学计算机科学与技术学院获得学士与博士学位,曾任美国亚利桑那州立大学VADER实验室博士后。主要研究方向为数据可视化与可视分析,包括基于可视分析的可解释人工智能方法、高维数据可视分析、时空数据的可视分析与应用等。目前发表论文20余篇,在TVCG、CG&A、IEEE VIS、ACM CHI等国际重要期刊会议上发表多篇长文,曾获得ACM CHI 2022最佳论文提名、CVM期刊年度最佳论文提名、陆增镛CAD&CG高科技奖(三等奖)等奖项,以及参与国内首部可视化专著和教材的编写工作。目前担任Visual Informatics期刊青年编委;曾担任IEEE VIS、ChinaVis、PacificVis Visualization Meets AI Workshop等国内外会议的程序委员会委员。
个人主页:https://cse.sustech.edu.cn/faculty/~mayx/
个人简介
教育背景
- 浙江大学 计算机科学与技术专业 博士
- 浙江大学 软件工程专业 学士
工作经历
- 亚利桑那州立大学 博士后
- 新加坡国立大学 实习研究员
学术服务
- Poster Co-Chair, Graphics And Mixed Environment Symposium (GAMES). 2022
- Symposium Committee Member, China Visualization and Visual Analytics Conference (ChinaVis). 2022, 2023
- Program Committee Member, IEEE VIS. 2022, 2023
- Program Committee Member, China Visualization and Visual Analytics Conference (ChinaVis). 2021, 2022, 2023
- Program Committee Member, PacificVis Visualization Meets AI Workshop. 2021, 2022
- Program Committee Member, AAAI Conference on Artificial Intelligence. 2021
- Program Committee Member, Computational Visual Media Conference (CVM). 2023
- Member, Young Advisory Board, Visual Informatics. 2021-
- Member, Technical Committee on Visualization and Visual Analytics, China Society of Image and Graphics (CSIG). 2021-
- Member, Technical Committee on CAD and Graphics, China Computer Federation (CCF). 2021-2024
荣誉
- “Outstanding Comprehensive MC1 Submission” Award for IEEE VAST Challenge 2023
- ACM CHI 2022 Paper Honorable Mention Award
- Outstanding Reviewer for ChinaVis 2021
- Computational Visual Media Journal (CVMJ) Honorable Mention Award in 2017
- Lu Zengyong CAD&CG High-Tech Award (Third Prize, 2016)
研究领域
数据可视化
可视分析
人机交互
可解释人工智能
教学
CS109 计算机程序设计基础(秋季开课)
CS307 数据库原理(春季开课)
学术成果 查看更多
(详细论文列表可见Google Scholar)
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.