Fractal Map: Fractal-Based 2D Expansion Method for Multi-scale High-Dimensional Data Visualization. - Takanori Fujiwara; Ryo Matsushita; Masaki Iwamaru; Manabu Tange; Satoshi Someya; Koji Okamoto (ISVC (1), 2010)

A fractal-based 2D expansion method for multi-scale volume data visualization. - Takanori Fujiwara; Masaki Iwamaru; Manabu Tange; Satoshi Someya; Koji Okamoto (J. Vis., 2011)

A visual analytics system for brain functional connectivity comparison across individuals, groups, and time points. - Takanori Fujiwara; Jia-Kai Chou; Andrew M. McCullough; Charan Ranganath; Kwan-Liu Ma (PacificVis, 2017)

A gesture system for graph visualization in virtual reality environments. - Yi-Jheng Huang; Takanori Fujiwara; Yun-Xuan Lin; Wen-Chieh Lin; Kwan-Liu Ma (PacificVis, 2017)

A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. - Takanori Fujiwara; Preeti Malakar; Khairi Reda; Venkatram Vishwanath; Michael E. Papka; Kwan-Liu Ma (VAST, 2017)

An Organic Visual Metaphor for Public Understanding of Conditional Co-occurrences. - Keshav Dasu; Takanori Fujiwara; Kwan-Liu Ma (SciVis, 2018)

Concise provenance of interactive network analysis. - Takanori Fujiwara; Tarik Crnovrsanin; Kwan-Liu Ma (Vis. Informatics, 2018)

A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems. - Takanori Fujiwara; Jianping Kelvin Li; Misbah Mubarak; Caitlin Ross; Christopher D. Carothers; Robert B. Ross; Kwan-Liu Ma (Vis. Informatics, 2018)

A Visual Analytics Framework for Reviewing Streaming Performance Data. - Suraj P. Kesavan; Takanori Fujiwara; Jianping Kelvin Li; Caitlin Ross; Misbah Mubarak; Christopher D. Carothers; Robert B. Ross; Kwan-Liu Ma (PacificVis, 2020)

A Visual Analytics Framework for Contrastive Network Analysis. - Takanori Fujiwara; Jian Zhao 010; Francine Chen 001; Kwan-Liu Ma (IEEE VAST@IEEE VIS, 2020)

Interpretable Contrastive Learning for Networks. - Takanori Fujiwara; Jian Zhao 010; Francine Chen 001; Yaoliang Yu; Kwan-Liu Ma (CoRR, 2020)

Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups. - Takanori Fujiwara; Tzu-Ping Liu (CoRR, 2020)

A Visual Analytics Approach to Monitor Time-Series Data with Incremental and Progressive Functional Data Analysis. - Shilpika; Takanori Fujiwara; Naohisa Sakamoto; Jorji Nonaka; Kwan-Liu Ma (CoRR, 2020)

An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data. - Takanori Fujiwara; Jia-Kai Chou; Shilpika; Panpan Xu; Liu Ren; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2020)

Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. - Takanori Fujiwara; Oh-Hyun Kwon; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2020)

Comparative visual analytics for assessing medical records with sequence embedding. - Rongchen Guo; Takanori Fujiwara; Yiran Li 002; Kelly M. Lima; Soman Sen; Nam K. Tran; Kwan-Liu Ma (Vis. Informatics, 2020)

A visual analytics system for multi-model comparison on clinical data predictions. - Yiran Li 002; Takanori Fujiwara; Yong K. Choi; Katherine K. Kim; Kwan-Liu Ma (Vis. Informatics, 2020)

A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data. - Xiaoyu Zhang 014; Takanori Fujiwara; Senthil K. Chandrasegaran; Michael P. Brundage; Thurston Sexton; Alden Dima; Kwan-Liu Ma (PacificVis, 2021)

A Visual Analytics Method for Time-Series Log Data Using Multiple Dimensionality Reduction. - Keijiro Fujita; Naohisa Sakamoto; Takanori Fujiwara; Jorji Nonaka; Toshiyuki Tsukamoto (AsiaSim, 2021)

A Visual Analytics System for Water Distribution System Optimization. - Yiran Li 002; Erin Musabandesu; Takanori Fujiwara; Frank J. Loge; Kwan-Liu Ma (IEEE VIS (Short Papers), 2021)

A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction. - Takanori Fujiwara; Shilpika; Naohisa Sakamoto; Jorji Nonaka; Keiji Yamamoto; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2021)

Advancing Visual Analytics Using Dimensionality Reduction. - Takanori Fujiwara (2021)

A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. - Yun-Hsin Kuo; Takanori Fujiwara; Charles C.-K. Chou; Chun-Houh Chen; Kwan-Liu Ma (PacificVis, 2022)

Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. - Takanori Fujiwara; Yun-Hsin Kuo; Anders Ynnerman; Kwan-Liu Ma (CoRR, 2022)

Network Comparison with Interpretable Contrastive Network Representation Learning. - Takanori Fujiwara; Jian Zhao 010; Francine Chen 001; Yaoliang Yu; Kwan-Liu Ma (J. Data Sci. Stat. Vis., 2022)

Interactive Dimensionality Reduction for Comparative Analysis. - Takanori Fujiwara; Xinhai Wei; Jian Zhao 010; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2022)

A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis. - Shilpika; Takanori Fujiwara; Naohisa Sakamoto; Jorji Nonaka; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2022)

Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns. - Takanori Fujiwara; Yun-Hsin Kuo; Anders Ynnerman; Kwan-Liu Ma (PacificVis, 2023)

Reflections on the Developments of Visual Analytics Systems for the K Computer System Log Data. - Jorji Nonaka; Keijiro Fujita; Takanori Fujiwara; Naohisa Sakamoto; Keiji Yamamoto; Masaaki Terai; Toshiyuki Tsukamoto; Fumiyoshi Shoji (VisGap@EuroVis, 2023)

A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber Tracts. - Chaoqing Xu; Tyson Neuroth; Takanori Fujiwara; Ronghua Liang; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2023)

Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks. - Yiran Li 002; Junpeng Wang 001; Takanori Fujiwara; Kwan-Liu Ma (ACM Trans. Interact. Intell. Syst., 2023)

GhostUMAP: Measuring Pointwise Instability in Dimensionality Reduction. - Myeongwon Jung; Takanori Fujiwara; Jaemin Jo (IEEE VIS, 2024)

A Computational Design Pipeline to Fabricate Sensing Network Physicalizations. - S. Sandra Bae; Takanori Fujiwara; Anders Ynnerman; Ellen Yi-Luen Do; Michael L. Rivera; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2024)

Uncovering How Scatterplot Features Skew Visual Class Separation. - S. Sandra Bae; Takanori Fujiwara; Chin Tseng; Danielle Albers Szafir (CHI, 2025)

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction. - Hyeon Jeon; Hyunwook Lee; Yun-Hsin Kuo; Taehyun Yang; Daniel Archambault; Sungahn Ko; Takanori Fujiwara; Kwan-Liu Ma; Jinwook Seo (CHI, 2025)

TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented Reality. - Kentaro Takahira; Wong Kam-Kwai; Leni Yang; Xian Xu; Takanori Fujiwara; Huamin Qu (CHI, 2025)

Visual Analytics for Multivariate Time-Series Data Using Interactive Dimensionality Reduction Methods. - Mizuki Emmei; Naoki Okami; Takanori Fujiwara; Naohisa Sakamoto; Jorji Nonaka (PacificVis, 2025)

Adversarial attacks on machine learning-aided visualizations. - Takanori Fujiwara; Kostiantyn Kucher; Junpeng Wang 001; Rafael Messias Martins; Andreas Kerren; Anders Ynnerman (J. Vis., 2025)

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction. - Hyeon Jeon; Hyunwook Lee; Yun-Hsin Kuo; Taehyun Yang; Daniel Archambault; Sungahn Ko; Takanori Fujiwara; Kwan-Liu Ma; Jinwook Seo (CoRR, 2025)

GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP. - Myeongwon Jung; Takanori Fujiwara; Jaemin Jo (CoRR, 2025)

Visual Analytics Using Tensor Unified Linear Comparative Analysis. - Naoki Okami; Kazuki Miyake; Naohisa Sakamoto; Jorji Nonaka; Takanori Fujiwara (CoRR, 2025)

InSituTale: Enhancing Augmented Data Storytelling with Physical Objects. - Kentaro Takahira; Yue Yu; Takanori Fujiwara; Suzuki Ryo; Huamin Qu (CoRR, 2025)

Visual Analytics of Multivariate Networks With Representation Learning and Composite Variable Construction. - Hsiao-Ying Lu; Takanori Fujiwara; Ming-Yi Chang; Yang-chih Fu; Anders Ynnerman; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2025)