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ORCIDDominik Moritz
Person information
- affiliation: Carnegie Mellon University, Human-Computer Interaction Institute, Pittsburgh, PA, USA
- affiliation: Apple, Pittsburgh, PA, USA
- affiliation (PhD 2019): University of Washington, Paul G. Allen School of Computer Science & Engineering, Seattle, WA, USA
- affiliation: Hasso Plattner Institute (HPI), Potsdam, Germany
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2020 – today
- 2024
[j20]Junran Yang
, Hyekang Kevin Joo, Sai S. Yerramreddy, Dominik Moritz, Leilani Battle:
Optimizing Dataflow Systems for Scalable Interactive Visualization. Proc. ACM Manag. Data 2(1): 21:1-21:25 (2024)- [j19]Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer:
Dead or Alive: Continuous Data Profiling for Interactive Data Science. IEEE Trans. Vis. Comput. Graph. 30(1): 197-207 (2024) - [j18]Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri:
Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. IEEE Trans. Vis. Comput. Graph. 30(1): 306-315 (2024) - [j17]Jeffrey Heer, Dominik Moritz:
Mosaic: An Architecture for Scalable & Interoperable Data Views. IEEE Trans. Vis. Comput. Graph. 30(1): 436-446 (2024) - [j16]Frank Elavsky, Lucas Nadolskis, Dominik Moritz:
Data Navigator: An Accessibility-Centered Data Navigation Toolkit. IEEE Trans. Vis. Comput. Graph. 30(1): 803-813 (2024) - [j15]Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle:
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. IEEE Trans. Vis. Comput. Graph. 30(1): 1063-1073 (2024) - [c32]Noor Hammad, Frank Elavsky, Sanika Moharana, Jessie Chen, Seyoung Lee, Patrick Carrington, Dominik Moritz, Jessica Hammer, Erik Harpstead:
Exploring The Affordances of Game-Aware Streaming to Support Blind and Low Vision Viewers: A Design Probe Study. ASSETS 2024: 16:1-16:13 - [c31]Fred Hohman, Mary Beth Kery, Donghao Ren, Dominik Moritz:
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences. CHI 2024: 645:1-645:18 - [c30]Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang:
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CHI 2024: 648:1-648:19 - [i30]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Dominik Moritz, Leilani Battle:
Optimizing Dataflow Systems for Scalable Interactive Visualization. CoRR abs/2401.02952 (2024) - [i29]Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang:
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CoRR abs/2404.03085 (2024) - [i28]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - [i27]Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman:
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. CoRR abs/2408.03274 (2024) - [i26]Racquel Fygenson, Kazi Jawad, Isabel Li, Francois Ayoub, Robert G. Deen, Scott Davidoff, Dominik Moritz, Mauricio Hess-Flores:
Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR. CoRR abs/2408.03503 (2024) - [i25]Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery:
AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking. CoRR abs/2409.18203 (2024) - [i24]Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman:
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation. CoRR abs/2410.01088 (2024) - 2023
- [j14]Ameya Patil, Gaëlle Richer, Christopher Jermaine, Dominik Moritz, Jean-Daniel Fekete:
Studying Early Decision Making with Progressive Bar Charts. IEEE Trans. Vis. Comput. Graph. 29(1): 407-417 (2023) - [c29]Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman:
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. CHI 2023: 832:1-832:20 - [c28]Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy:
Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA). SIGMOD Conference Companion 2023: 311-312 - [c27]Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. UIST 2023: 94:1-94:11 - [c26]Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng, Dominik Moritz:
Draco 2: An Extensible Platform to Model Visualization Design. IEEE VIS (Short Papers) 2023: 166-170 - [c25]Marius Hogräfer, Dominik Moritz, Adam Perer, Hans-Jörg Schulz:
Combining Degree of Interest Functions and Progressive Visualization. IEEE VIS (Short Papers) 2023: 251-255 - [i23]Aspen K. Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz:
Designing Data: Proactive Data Collection and Iteration for Machine Learning. CoRR abs/2301.10319 (2023) - [i22]Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman:
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. CoRR abs/2304.05967 (2023) - [i21]André Kohn, Dominik Moritz, Thomas Neumann:
DashQL - Complete Analysis Workflows with SQL. CoRR abs/2306.03714 (2023) - [i20]Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri:
Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. CoRR abs/2308.03903 (2023) - [i19]Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer:
Dead or Alive: Continuous Data Profiling for Interactive Data Science. CoRR abs/2308.03964 (2023) - [i18]Frank Elavsky, Lucas Nadolskis, Dominik Moritz:
Data Navigator: An accessibility-centered data navigation toolkit. CoRR abs/2308.08475 (2023) - [i17]Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle:
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. CoRR abs/2308.14241 (2023) - [i16]Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng, Dominik Moritz:
Draco 2: An Extensible Platform to Model Visualization Design. CoRR abs/2308.14247 (2023) - [i15]Fred Hohman, Mary Beth Kery, Donghao Ren, Dominik Moritz:
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences. CoRR abs/2310.04621 (2023) - 2022
- [j13]Frank Elavsky, Cynthia L. Bennett, Dominik Moritz:
How accessible is my visualization? Evaluating visualization accessibility with Chartability. Comput. Graph. Forum 41(3): 57-70 (2022) - [j12]Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer:
Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum 41(3): 145-155 (2022) - [j11]André Kohn, Dominik Moritz, Mark Raasveldt, Hannes Mühleisen, Thomas Neumann:
DuckDB-Wasm: Fast Analytical Processing for the Web. Proc. VLDB Endow. 15(12): 3574-3577 (2022) - [j10]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 28(1): 129-139 (2022) - [j9]Yue Zhao, Yunhai Wang, Jian Zhang, Chi-Wing Fu, Mingliang Xu, Dominik Moritz:
KD-Box: Line-segment-based KD-tree for Interactive Exploration of Large-scale Time-Series Data. IEEE Trans. Vis. Comput. Graph. 28(1): 890-900 (2022) - [j8]Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization. IEEE Trans. Vis. Comput. Graph. 28(12): 5049-5070 (2022) - [c24]Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz:
Symphony: Composing Interactive Interfaces for Machine Learning. CHI 2022: 210:1-210:14 - [c23]Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel:
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CHI 2022: 408:1-408:13 - [c22]Aoyu Wu, Wai Tong, Haotian Li, Dominik Moritz, Yong Wang, Huamin Qu:
ComputableViz: Mathematical Operators as a Formalism for Visualisation Processing and Analysis. CHI 2022: 410:1-410:15 - [c21]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CIKM 2022: 3694-3704 - [c20]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle:
Demonstration of VegaPlus: Optimizing Declarative Visualization Languages. SIGMOD Conference 2022: 2425-2428 - [c19]Azza Abouzied, Dominik Moritz, Michael J. Cafarella:
HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics. SIGMOD Conference 2022: 2552-2553 - [c18]Nicolas Kruchten, Jon Mease, Dominik Moritz:
VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations. IEEE VIS (Short Papers) 2022: 11-15 - [i14]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle:
Scalable Vega: Optimizing Declarative Visualization Languages. CoRR abs/2201.06742 (2022) - [i13]Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz:
Symphony: Composing Interactive Interfaces for Machine Learning. CoRR abs/2202.08946 (2022) - [i12]Aoyu Wu, Wai Tong, Haotian Li, Dominik Moritz, Yong Wang, Huamin Qu:
ComputableViz: Mathematical Operators as a Formalism for Visualization Processing and Analysis. CoRR abs/2204.00856 (2022) - [i11]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CoRR abs/2206.03635 (2022) - [i10]Nicolas Kruchten, Jon Mease, Dominik Moritz:
VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations. CoRR abs/2208.06631 (2022) - [i9]Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. CoRR abs/2212.13670 (2022) - 2021
- [j7]Hyeok Kim, Dominik Moritz, Jessica Hullman:
Design Patterns and Trade-Offs in Responsive Visualization for Communication. Comput. Graph. Forum 40(3): 459-470 (2021) - [c17]Lilian de Greef, Dominik Moritz, Cynthia L. Bennett:
Interdependent Variables: Remotely Designing Tactile Graphics for an Accessible Workflow. ASSETS 2021: 36:1-36:6 - [c16]Xiaoying Pu, Matthew Kay, Steven Mark Drucker, Jeffrey Heer, Dominik Moritz, Arvind Satyanarayan:
Special Interest Group on Visualization Grammars. CHI Extended Abstracts 2021: 162:1-162:3 - [i8]Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
Survey on Artificial Intelligence Approaches for Visualization Data. CoRR abs/2102.01330 (2021) - [i7]Connie Ye, Lukás Hermann, Nur Yildirim, Shravya Bhat, Dominik Moritz, Scott Davidoff:
PIXLISE-C: Exploring The Data Analysis Needs of NASA Scientists for Mineral Identification. CoRR abs/2103.16060 (2021) - [i6]Hyeok Kim, Dominik Moritz, Jessica Hullman:
Design Patterns and Trade-Offs in Responsive Visualization for Communication. CoRR abs/2104.07724 (2021) - [i5]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. CoRR abs/2107.08141 (2021) - [i4]Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel:
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CoRR abs/2110.12536 (2021) - 2020
- [c15]Halden Lin, Dominik Moritz, Jeffrey Heer:
Dziban: Balancing Agency & Automation in Visualization Design via Anchored Recommendations. CHI 2020: 1-12 - [c14]Leilani Battle, Philipp Eichmann, Marco Angelini, Tiziana Catarci, Giuseppe Santucci, Yukun Zheng, Carsten Binnig, Jean-Daniel Fekete, Dominik Moritz:
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data. SIGMOD Conference 2020: 1571-1587 - [c13]Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel:
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. UIST 2020: 140-151 - [c12]Chanwut Kittivorawong, Dominik Moritz, Kanit Wongsuphasawat, Jeffrey Heer:
Fast and Flexible Overlap Detection for Chart Labeling with Occupancy Bitmap. IEEE VIS (Short Papers) 2020: 101-105 - [i3]Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel:
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. CoRR abs/2009.10643 (2020)
2010 – 2019
- 2019
- [b1]Dominik Moritz:
Interactive Systems for Scalable Visualization and Analysis. University of Washington, USA, 2019 - [j6]Dominik Moritz, Chenglong Wang, Greg L. Nelson, Halden Lin, Adam M. Smith, Bill Howe, Jeffrey Heer:
Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco. IEEE Trans. Vis. Comput. Graph. 25(1): 438-448 (2019) - [c11]Dominik Moritz, Bill Howe, Jeffrey Heer:
Falcon: Balancing Interactive Latency and Resolution Sensitivity for Scalable Linked Visualizations. CHI 2019: 694 - 2018
- [j5]Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert:
Altair: Interactive Statistical Visualizations for Python. J. Open Source Softw. 3(32): 1057 (2018) - [c10]Michael Correll, Dominik Moritz, Jeffrey Heer:
Value-Suppressing Uncertainty Palettes. CHI 2018: 642 - [d2]Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert:
Altair: Declarative statistical visualization library for Python. Zenodo, 2018
- [d1]Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert:
Altair: Declarative statistical visualization library for Python. Zenodo, 2018 - [i2]Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia, Çagatay Demiralp, Jeffrey Heer:
Beyond Heuristics: Learning Visualization Design. CoRR abs/1807.06641 (2018) - [i1]Dominik Moritz, Danyel Fisher:
Visualizing a Million Time Series with the Density Line Chart. CoRR abs/1808.06019 (2018) - 2017
- [j4]Dominik Moritz:
Text detection in screen images with a Convolutional Neural Network. J. Open Source Softw. 2(15): 235 (2017) - [j3]Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, Jeffrey Heer:
Vega-Lite: A Grammar of Interactive Graphics. IEEE Trans. Vis. Comput. Graph. 23(1): 341-350 (2017) - [c9]Kanit Wongsuphasawat, Zening Qu, Dominik Moritz, Riley Chang, Felix Ouk, Anushka Anand, Jock D. Mackinlay, Bill Howe, Jeffrey Heer:
Voyager 2: Augmenting Visual Analysis with Partial View Specifications. CHI 2017: 2648-2659 - [c8]Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang:
Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data. CHI 2017: 2904-2915 - [c7]Jingjing Wang, Tobin Baker, Magdalena Balazinska, Daniel Halperin, Brandon Haynes, Bill Howe, Dylan Hutchison, Shrainik Jain, Ryan Maas, Parmita Mehta, Dominik Moritz, Brandon Myers, Jennifer Ortiz, Dan Suciu, Andrew Whitaker, Shengliang Xu:
The Myria Big Data Management and Analytics System and Cloud Services. CIDR 2017 - [c6]Dominik Moritz, Danyel Fisher:
What Users Don't Expect about Exploratory Data Analysis on Approximate Query Processing Systems. HILDA@SIGMOD 2017: 9:1-9:4 - 2016
- [j2]Kanit Wongsuphasawat, Dominik Moritz, Anushka Anand, Jock D. Mackinlay, Bill Howe, Jeffrey Heer:
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations. IEEE Trans. Vis. Comput. Graph. 22(1): 649-658 (2016) - [c5]Shrainik Jain, Dominik Moritz, Bill Howe:
High variety cloud databases. ICDE Workshops 2016: 12-19 - [c4]Kanit Wongsuphasawat, Dominik Moritz, Anushka Anand, Jock D. Mackinlay, Bill Howe, Jeffrey Heer:
Towards a general-purpose query language for visualization recommendation. HILDA@SIGMOD 2016: 4 - [c3]Shrainik Jain, Dominik Moritz, Daniel Halperin, Bill Howe, Ed Lazowska:
SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment. SIGMOD Conference 2016: 281-293 - 2015
- [j1]Dominik Moritz, Daniel Halperin, Bill Howe, Jeffrey Heer:
Perfopticon: Visual Query Analysis for Distributed Databases. Comput. Graph. Forum 34(3): 71-80 (2015) - 2014
- [c2]Sebastian Hahn, Jonas Trümper, Dominik Moritz, Jürgen Döllner:
Visualization of Varying Hierarchies by Stable Layout of Voronoi Treemaps. IVAPP 2014: 50-58 - [c1]Daniel Halperin, Victor Teixeira de Almeida, Lee Lee Choo, Shumo Chu, Paraschos Koutris, Dominik Moritz, Jennifer Ortiz, Vaspol Ruamviboonsuk, Jingjing Wang, Andrew Whitaker, Shengliang Xu, Magdalena Balazinska, Bill Howe, Dan Suciu:
Demonstration of the Myria big data management service. SIGMOD Conference 2014: 881-884
Coauthor Index
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