| Supporting analysis of dimensionality reduction results with contrastive learning T Fujiwara, OH Kwon, KL Ma IEEE Transactions on Visualization and Computer Graphics 26 (1), 45-55, 2020 | 102 | 2020 |
| An incremental dimensionality reduction method for visualizing streaming multidimensional data T Fujiwara, JK Chou, S Shilpika, P Xu, L Ren, KL Ma IEEE Transactions on Visualization and Computer Graphics 26 (1), 418-428, 2020 | 84 | 2020 |
| A gesture system for graph visualization in virtual reality environments YJ Huang, T Fujiwara, YX Lin, WC Lin, KL Ma IEEE Pacific Visualization Symposium (PacificVis), 41-45, 2017 | 69 | 2017 |
| A visual analytics framework for reviewing multivariate time-series data with dimensionality reduction T Fujiwara, N Sakamoto, J Nonaka, K Yamamoto, KL Ma IEEE Transactions on Visualization and Computer Graphics 27 (2), 1601-1611, 2021 | 54 | 2021 |
| A visual analytics system for multi-model comparison on clinical data predictions Y Li, T Fujiwara, YK Choi, KK Kim, KL Ma Visual Informatics 4 (2), 122-131, 2020 | 48 | 2020 |
| Comparative visual analytics for assessing medical records with sequence embedding R Guo, T Fujiwara, Y Li, KM Lima, S Sen, NK Tran, KL Ma Visual Informatics 4 (2), 72-85, 2020 | 43 | 2020 |
| Interactive dimensionality reduction for comparative analysis T Fujiwara, X Wei, J Zhao, KL Ma IEEE Transactions on Visualization and Computer Graphics 28 (1), 758-768, 2022 | 35 | 2022 |
| A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems T Fujiwara, JK Li, M Mubarak, C Ross, CD Carothers, RB Ross, KL Ma Visual Informatics 2 (1), 98-110, 2018 | 35 | 2018 |
| A visual analytics system for optimizing communications in massively parallel applications T Fujiwara, P Malakar, K Reda, V Vishwanath, ME Papka, KL Ma IEEE Conference on Visual Analytics Science and Technology (VAST), 59-70, 2017 | 25 | 2017 |
| A visual analytics system for brain functional connectivity comparison across individuals, groups, and time points T Fujiwara, JK Chou, AM McCullough, C Ranganath, KL Ma IEEE Pacific Visualization Symposium (PacificVis), 250-259, 2017 | 24 | 2017 |
| A visual analytics framework for reviewing streaming performance data SP Kesavan, T Fujiwara, JK Li, C Ross, M Mubarak, CD Carothers, ... IEEE Pacific Visualization Symposium (PacificVis), 206-215, 2020 | 21 | 2020 |
| A visual analytics approach for hardware system monitoring with streaming functional data analysis Shilpika, T Fujiwara, N Sakamoto, J Nonaka, KL Ma IEEE Transactions on Visualization and Computer Graphics 28 (6), 2338-2349, 2022 | 15 | 2022 |
| A visual analytics framework for analyzing parallel and distributed computing applications JK Li, T Fujiwara, SP Kesavan, C Ross, M Mubarak, CD Carothers, ... IEEE Visualization in Data Science (VDS), 1-9, 2019 | 15 | 2019 |
| Network comparison with interpretable contrastive network representation learning T Fujiwara, J Zhao, F Chen, Y Yu, KL Ma Journal of Data Science, Statistics, and Visualisation 2 (5), 2022 | 14* | 2022 |
| A visual analytics approach for the diagnosis of heterogeneous and multidimensional machine maintenance data X Zhang, T Fujiwara, S Chandrasegaran, MP Brundage, T Sexton, A Dima, ... IEEE Pacific Visualization Symposium (PacificVis), 196-205, 2021 | 14 | 2021 |
| Concise provenance of interactive network analysis T Fujiwara, T Crnovrsanin, KL Ma Visual Informatics 2 (4), 213-224, 2018 | 14 | 2018 |
| A visual analytics framework for contrastive network analysis T Fujiwara, J Zhao, F Chen, KL Ma IEEE Conference on Visual Analytics Science and Technology (VAST), 48-59, 2020 | 13 | 2020 |
| A predictive visual analytics system for studying neurodegenerative disease based on DTI fiber tracts C Xu, T Neuroth, T Fujiwara, R Liang, KL Ma IEEE Transactions on Visualization and Computer Graphics 29 (4), 2020-2035, 2023 | 9 | 2023 |
| Visual analytics of neuron vulnerability to adversarial attacks on convolutional neural networks Y Li, J Wang, T Fujiwara, KL Ma ACM Transactions on Interactive Intelligent Systems, 2023 | 9 | 2023 |
| Feature learning for nonlinear dimensionality reduction toward maximal extraction of hidden patterns T Fujiwara, YH Kuo, A Ynnerman, KL Ma IEEE Pacific Visualization Symposium, 122-131, 2023 | 8* | 2023 |
Kwan-Liu MaProfessor of Computer Science, University of California at DavisVerificeret mail på cs.ucdavis.edu