Scatternet: A deep subjective similarity model for visual analysis of scatterplots Y Ma, AKH Tung, W Wang, X Gao, Z Pan, W Chen IEEE transactions on visualization and computer graphics 26 (3), 1562-1576, 2018 | 82 | 2018 |
Explaining vulnerabilities to adversarial machine learning through visual analytics Y Ma, T Xie, J Li, R Maciejewski IEEE transactions on visualization and computer graphics 26 (1), 1075-1085, 2019 | 81 | 2019 |
The design space of construction tools for information visualization: A survey H Mei, Y Ma, Y Wei, W Chen Journal of Visual Languages & Computing 44, 120-132, 2018 | 81 | 2018 |
LDSScanner: Exploratory analysis of low-dimensional structures in high-dimensional datasets J Xia, F Ye, W Chen, Y Wang, W Chen, Y Ma, AKH Tung IEEE transactions on visualization and computer graphics 24 (1), 236-245, 2017 | 69 | 2017 |
A survey of visual analytic pipelines XM Wang, TY Zhang, YX Ma, J Xia, W Chen Journal of Computer Science and Technology 31, 787-804, 2016 | 69 | 2016 |
Mobility viewer: An Eulerian approach for studying urban crowd flow Y Ma, T Lin, Z Cao, C Li, F Wang, W Chen IEEE Transactions on Intelligent Transportation Systems 17 (9), 2627-2636, 2015 | 68 | 2015 |
Recent progress and trends in predictive visual analytics J Lu, W Chen, Y Ma, J Ke, Z Li, F Zhang, R Maciejewski Frontiers of Computer Science 11, 192-207, 2017 | 65 | 2017 |
Location2vec: a situation-aware representation for visual exploration of urban locations M Zhu, W Chen, J Xia, Y Ma, Y Zhang, Y Luo, Z Huang, L Liu IEEE Transactions on Intelligent Transportation Systems 20 (10), 3981-3990, 2019 | 58 | 2019 |
A survey of network anomaly visualization T Zhang, X Wang, Z Li, F Guo, Y Ma, W Chen Science China Information Sciences 60, 1-17, 2017 | 51 | 2017 |
EasySVM: A visual analysis approach for open-box support vector machines Y Ma, W Chen, X Ma, J Xu, X Huang, R Maciejewski, AKH Tung Computational Visual Media 3, 161-175, 2017 | 47 | 2017 |
Viscomposer: A visual programmable composition environment for information visualization H Mei, W Chen, Y Ma, H Guan, W Hu Visual Informatics 2 (1), 71-81, 2018 | 39 | 2018 |
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Y Ma, A Fan, J He, AR Nelakurthi, R Maciejewski IEEE Transactions on Visualization and Computer Graphics, 2020 | 35 | 2020 |
Annotating line charts for addressing deception A Fan, Y Ma, M Mancenido, R Maciejewski Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 31 | 2022 |
Fairrankvis: A visual analytics framework for exploring algorithmic fairness in graph mining models T Xie, Y Ma, J Kang, H Tong, R Maciejewski IEEE transactions on visualization and computer graphics 28 (1), 368-377, 2021 | 31 | 2021 |
Xnli: Explaining and diagnosing nli-based visual data analysis Y Feng, X Wang, B Pan, KK Wong, Y Ren, S Liu, Z Yan, Y Ma, H Qu, ... IEEE Transactions on Visualization and Computer Graphics, 2023 | 27 | 2023 |
A visual analytical approach for transfer learning in classification Y Ma, J Xu, X Wu, F Wang, W Chen Information Sciences 390, 54-69, 2017 | 20 | 2017 |
Visual analysis of class separations with locally linear segments Y Ma, R Maciejewski IEEE Transactions on Visualization and Computer Graphics 27 (1), 241-253, 2020 | 17 | 2020 |
可视化驱动的交互式数据挖掘方法综述 马昱欣, 曹震东, 陈为 计算机辅助设计与图形学学报 28 (1), 1-8, 2016 | 15 | 2016 |
A visual analysis approach for community detection of multi-context mobile social networks YX Ma, JY Xu, DC Peng, T Zhang, CZ Jin, HM Qu, W Chen, QS Peng Journal of Computer Science and Technology 28 (5), 797-809, 2013 | 13* | 2013 |
Auditing the sensitivity of graph-based ranking with visual analytics T Xie, Y Ma, H Tong, MT Thai, R Maciejewski IEEE Transactions on Visualization and Computer Graphics 27 (2), 1459-1469, 2020 | 10 | 2020 |