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ORCIDBill Howe
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- affiliation: University of Washington, Information School, Seattle, WA, USA
- affiliation (former): Portland State University, USA
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2020 – today
- 2025
[j41]Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang
:
Know Your Limits: A Survey of Abstention in Large Language Models. Trans. Assoc. Comput. Linguistics 13: 529-556 (2025)- [c97]Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. ACL (Findings) 2025: 25655-25672 - [c96]Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe:
Fragments to Facts: Partial-Information Fragment Inference from LLMs. ICML 2025 - [i42]Nicholas Clark, Hua Shen, Bill Howe, Tanushree Mitra:
Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery. CoRR abs/2504.01205 (2025) - [i41]Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe:
Fragments to Facts: Partial-Information Fragment Inference from LLMs. CoRR abs/2505.13819 (2025) - [i40]Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. CoRR abs/2506.00582 (2025) - [i39]Yiwei Yang, Chung Peng Lee, Shangbin Feng, Dora Zhao, Bingbing Wen, Anthony Z. Liu, Yulia Tsvetkov, Bill Howe:
Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? CoRR abs/2506.18322 (2025) - [i38]Bin Han, Robert Wolfe, Anat Caspi, Bill Howe:
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses. CoRR abs/2508.05009 (2025) - [i37]Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas M. Weber, Robert Wolfe:
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective. CoRR abs/2508.06760 (2025) - 2024
- [j40]Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. SIGMOD Rec. 53(1): 65-74 (2024) - [c95]Robert Wolfe, Alexis Hiniker, Bill Howe:
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science. AIES (1) 2024: 1608-1620 - [c94]Robert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker:
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study. AIES (1) 2024: 1621-1634 - [c93]Robert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe:
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI. AIES (1) 2024: 1635-1647 - [c92]Yiwei Yang, Anthony Z. Liu, Robert Wolfe, Aylin Caliskan, Bill Howe:
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation. CVPR 2024: 12426-12434 - [c91]Bingbing Wen, Bill Howe, Lucy Lu Wang:
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations. EMNLP (Findings) 2024: 3437-3450 - [c90]Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT 2024: 1199-1210 - [c89]Bin Han, Bill Howe:
SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation. SIGSPATIAL/GIS 2024: 338-349 - [c88]Bin Han, Yiwei Yang, Anat Caspi, Bill Howe:
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models. SIGSPATIAL/GIS 2024: 601-604 - [c87]Bin Han, Bill Howe:
Geospatial Imputation of Urban Mobility Data with Self-Supervised Learning. HICSS 2024: 5619-5628 - [c86]Yiwei Yang, Bill Howe:
Does a Fair Model Produce Fair Explanations? Relating Distributive and Procedural Fairness. HICSS 2024: 6868-6877 - [i36]Bingbing Wen, Bill Howe, Lucy Lu Wang:
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations. CoRR abs/2404.12452 (2024) - [i35]Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR abs/2405.16820 (2024) - [i34]Yuxiang Zhang, Bill Howe, Sachin Mehta, Nicholas Bolten, Anat Caspi:
PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery. CoRR abs/2407.16875 (2024) - [i33]Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang:
The Art of Refusal: A Survey of Abstention in Large Language Models. CoRR abs/2407.18418 (2024) - [i32]Bin Han, Yiwei Yang, Anat Caspi, Bill Howe:
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper). CoRR abs/2408.00932 (2024) - [i31]Robert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe:
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI. CoRR abs/2408.01959 (2024) - [i30]Robert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker:
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study. CoRR abs/2408.01961 (2024) - [i29]Robert Wolfe, Alexis Hiniker, Bill Howe:
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science. CoRR abs/2408.01966 (2024) - [i28]Yuxiang Zhang, Bill Howe, Anat Caspi:
Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale. CoRR abs/2410.19762 (2024) - [i27]Lucas Rosenblatt, Bill Howe, Julia Stoyanovich:
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives. CoRR abs/2412.13030 (2024) - 2023
- [j39]Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Proc. VLDB Endow. 16(11): 3178-3191 (2023) - [c85]Bill Howe:
AI is Reducing to Data Curation (Abstract). AMW 2023 - [c84]Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan:
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. FAccT 2023: 1174-1185 - [i26]Bin Han, Bill Howe:
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking. CoRR abs/2301.04233 (2023) - [i25]Bin Han, Bill Howe:
Urban Spatiotemporal Data Synthesis via Neural Disaggregation. CoRR abs/2306.07292 (2023) - [i24]Lucas Rosenblatt, Bin Han, Erin Posthumus, Theresa Crimmins, Bill Howe:
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology. CoRR abs/2310.00740 (2023) - [i23]Bingbing Wen, Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Bill Howe, Lijuan Wang:
InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models. CoRR abs/2312.13503 (2023) - 2022
- [j38]Julia Stoyanovich, Serge Abiteboul, Bill Howe, H. V. Jagadish, Sebastian Schelter:
Responsible data management. Commun. ACM 65(6): 64-74 (2022) - [j37]Bill Howe:
Technical perspective: Visualization search: from sketching to natural language. Commun. ACM 65(7): 84 (2022) - [j36]H. V. Jagadish, Julia Stoyanovich, Bill Howe:
The Many Facets of Data Equity. ACM J. Data Inf. Qual. 14(4): 27:1-27:21 (2022) - [j35]Bill Howe:
Technical Perspective: Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds? SIGMOD Rec. 51(1): 59 (2022) - [c83]Sean Yang, Bernease Herman, Bill Howe:
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification. NeurIPS 2022 - [c82]Sean T. Yang, Bill Howe:
Surj: Ontological Learning for Fast, Accurate, and Robust Hierarchical Multi-label Classification. WWW (Companion Volume) 2022: 1106-1114 - [i22]Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. CoRR abs/2208.12700 (2022) - [i21]Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan:
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. CoRR abs/2212.11261 (2022) - 2021
- [j34]H. V. Jagadish, Julia Stoyanovich, Bill Howe:
COVID-19 Brings Data Equity Challenges to the Fore. Digit. Gov. Res. Pract. 2(2): 24:1-24:7 (2021) - [j33]Bill Howe:
Technical Perspective: From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight. SIGMOD Rec. 50(1): 50 (2021) - [c81]H. V. Jagadish, Julia Stoyanovich, Bill Howe:
The Many Facets of Data Equity. EDBT/ICDT Workshops 2021 - [c80]An Yan, Bill Howe:
EquiTensors: Learning Fair Integrations of Heterogeneous Urban Data. SIGMOD Conference 2021: 2338-2347 - 2020
- [j32]Yisu Remy Wang, Shana Hutchison, Dan Suciu, Bill Howe, Jonathan Leang:
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra. Proc. VLDB Endow. 13(11): 1919-1932 (2020) - [j31]Julia Stoyanovich, Bill Howe, H. V. Jagadish:
Responsible Data Management. Proc. VLDB Endow. 13(12): 3474-3488 (2020) - [j30]Babak Salimi, Bill Howe, Dan Suciu:
Database Repair Meets Algorithmic Fairness. SIGMOD Rec. 49(1): 34-41 (2020) - [j29]David Maier, Rachel Pottinger, AnHai Doan, Eduard C. Dragut, Bill Howe, Joanne Lateulere, John Lateulere, Mostafa Milani, Tilmann Rabl, Dan Suciu, Yufei Tao, Wang-Chiew Tan, Kristin Tufte:
Advice from SIGMOD/PODS 2020. SIGMOD Rec. 49(3): 43-54 (2020) - [c79]An Yan, Bill Howe:
Fairness-Aware Demand Prediction for New Mobility. AAAI 2020: 1079-1087 - [c78]Sean T. Yang, Kuan-Hao Huang, Bill Howe:
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs. ICPR 2020: 8344-8351 - [i20]Yisu Remy Wang, Shana Hutchison, Jonathan Leang, Bill Howe, Dan Suciu:
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra. CoRR abs/2002.07951 (2020)
2010 – 2019
- 2019
- [j28]Julia Stoyanovich, Bill Howe:
Nutritional Labels for Data and Models. IEEE Data Eng. Bull. 42(3): 13-23 (2019) - [j27]Babak Salimi, Bill Howe, Dan Suciu:
Data Management for Causal Algorithmic Fairness. IEEE Data Eng. Bull. 42(3): 24-35 (2019) - [j26]An Yan, Bill Howe:
Fairness in Practice: A Survey on Equity in Urban Mobility. IEEE Data Eng. Bull. 42(3): 49-63 (2019) - [j25]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) - [c77]Dominik Moritz, Bill Howe, Jeffrey Heer:
Falcon: Balancing Interactive Latency and Resolution Sensitivity for Scalable Linked Visualizations. CHI 2019: 694 - [c76]Shrainik Jain, Jiaqi Yan, Thierry Cruanes, Bill Howe:
Database-Agnostic Workload Management. CIDR 2019 - [c75]Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich:
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. CIKM 2019: 2893-2896 - [c74]Meg Young, Luke Rodriguez, Emily Keller, Feiyang Sun, Boyang Sa, Jan Whittington, Bill Howe:
Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing. FAT 2019: 191-200 - [c73]An Yan, Bill Howe:
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems. SIGSPATIAL/GIS 2019: 552-555 - [c72]Sean T. Yang, Po-Shen Lee, Lia Kazakova, Abhishek Joshi, Bum Mook Oh, Jevin D. West, Bill Howe:
Identifying the Central Figure of a Scientific Paper. ICDAR 2019: 1063-1070 - [c71]Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu:
Interventional Fairness: Causal Database Repair for Algorithmic Fairness. SIGMOD Conference 2019: 793-810 - [c70]Sean T. Yang, Luke Rodriguez, Jevin D. West, Bill Howe:
GraviTIE: Exploratory Analysis of Large-Scale Heterogeneous Image Collections. WWW 2019: 3605-3609 - [i19]Sean T. Yang, Kuan-Hao Huang, Bill Howe:
MultiDEC: Multi-Modal Clustering of Image-Caption Pairs. CoRR abs/1901.01860 (2019) - [i18]Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu:
Capuchin: Causal Database Repair for Algorithmic Fairness. CoRR abs/1902.08283 (2019) - [i17]Luke Rodriguez, Bill Howe:
In Defense of Synthetic Data. CoRR abs/1905.01351 (2019) - [i16]An Yan, Bill Howe:
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems. CoRR abs/1907.03827 (2019) - [i15]Sean T. Yang, Po-Shen Lee, Jevin D. West, Bill Howe:
Delineating Knowledge Domains in the Scientific Literature Using Visual Information. CoRR abs/1908.07465 (2019) - [i14]Babak Salimi, Bill Howe, Dan Suciu:
Data Management for Causal Algorithmic Fairness. CoRR abs/1908.07924 (2019) - 2018
- [j24]Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau:
Panel: A Debate on Data and Algorithmic Ethics. Proc. VLDB Endow. 11(12): 2165-2167 (2018) - [j23]Po-Shen Lee, Jevin D. West, Bill Howe:
Viziometrics: Analyzing Visual Information in the Scientific Literature. IEEE Trans. Big Data 4(1): 117-129 (2018) - [c69]Maxim Grechkin, Hoifung Poon, Bill Howe:
EZLearn: Exploiting Organic Supervision in Automated Data Annotation. IJCAI 2018: 4085-4091 - [c68]Julia Stoyanovich, Bill Howe, H. V. Jagadish:
Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management. SIGMOD Conference 2018: 1635-1636 - [c67]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. SIGMOD Conference 2018: 1773-1776 - [c66]Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe:
MobilityMirror: Bias-Adjusted Transportation Datasets. BiDU@VLDB 2018: 18-39 - [i13]Shrainik Jain, Bill Howe:
Query2Vec: NLP Meets Databases for Generalized Workload Analytics. CoRR abs/1801.05613 (2018) - [i12]Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau:
A Nutritional Label for Rankings. CoRR abs/1804.07890 (2018) - [i11]Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe:
MobilityMirror: Bias-Adjusted Transportation Datasets. CoRR abs/1808.07151 (2018) - [i10]Luke Rodriguez, Bill Howe:
Privacy-Preserving Synthetic Datasets Over Weakly Constrained Domains. CoRR abs/1808.07603 (2018) - [i9]Shrainik Jain, Jiaqi Yan, Thierry Cruanes, Bill Howe:
Database-Agnostic Workload Management. CoRR abs/1808.08355 (2018) - [i8]Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew S. Mayernik, Erin C. McKiernan, Chris Mentzel, Nirav C. Merchant, Kyle E. Niemeyer, Laura Norén, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matthew J. Turk, John D. Van Horn, Jay Walsh:
The principles of tomorrow's university. F1000Research 7: 1926 (2018) - 2017
- [j22]Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe:
Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis. ACM Trans. Knowl. Discov. Data 11(3): 32:1-32:30 (2017) - [c65]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 - [c64]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 - [c63]Emily Furst, Mark Oskin, Bill Howe:
Profiling a GPU database implementation: a holistic view of GPU resource utilization on TPC-H queries. DaMoN 2017: 3:1-3:6 - [c62]Po-Shen Lee, Sean T. Yang, Jevin D. West, Bill Howe:
PhyloParser: A Hybrid Algorithm for Extracting Phylogenies from Dendrograms. ICDAR 2017: 1087-1094 - [c61]Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman:
Data Science Education: We're Missing the Boat, Again. ICDE 2017: 1473-1474 - [c60]Dylan Hutchison, Bill Howe, Dan Suciu:
LaraDB: A Minimalist Kernel for Linear and Relational Algebra Computation. BeyondMR@SIGMOD 2017: 2:1-2:10 - [c59]Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum:
Fides: Towards a Platform for Responsible Data Science. SSDBM 2017: 26:1-26:6 - [c58]Haoyue Ping, Julia Stoyanovich, Bill Howe:
DataSynthesizer: Privacy-Preserving Synthetic Datasets. SSDBM 2017: 42:1-42:5 - [c57]Bill Howe, Po-Shen Lee, Maxim Grechkin, Sean T. Yang, Jevin D. West:
Deep Mapping of the Visual Literature. WWW (Companion Volume) 2017: 1273-1277 - [e3]Huy T. Vo, Bill Howe:
Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, Redondo Beach, CA, USA, November 7, 2017. ACM 2017, ISBN 978-1-4503-5495-0 [contents] - [e2]Adam Bates, Bill Howe:
9th USENIX Workshop on the Theory and Practice of Provenance, TaPP 2017, Seattle, WA, USA, June 23, 2017. USENIX Association 2017 [contents] - [i7]Dylan Hutchison, Bill Howe, Dan Suciu:
LaraDB: A Minimalist Kernel for Linear and Relational Algebra Computation. CoRR abs/1703.07342 (2017) - [i6]Maxim Grechkin, Hoifung Poon, Bill Howe:
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation. CoRR abs/1709.08600 (2017) - [i5]Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee:
Synthetic Data for Social Good. CoRR abs/1710.08874 (2017) - 2016
- [j21]Jeremy Hyrkas, Sophie Clayton, Francois Ribalet, Daniel Halperin, E. Virginia Armbrust, Bill Howe:
Scalable clustering algorithms for continuous environmental flow cytometry. Bioinform. 32(3): 417-423 (2016) - [j20]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) - [c56]Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe:
From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database. HPEC 2016: 1-9 - [c55]Shrainik Jain, Dominik Moritz, Bill Howe:
High variety cloud databases. ICDE Workshops 2016: 12-19 - [c54]Jeremy Hyrkas, Bill Howe:
MusicDB: A Platform for Longitudinal Music Analytics. ISMIR 2016: 702-708 - [c53]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 - [c52]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 - [c51]Po-Shen Lee, Jevin D. West, Bill Howe:
VizioMetrix: A Platform for Analyzing the Visual Information in Big Scholarly Data. WWW (Companion Volume) 2016: 413-418 - [i4]Dylan Hutchison, Bill Howe, Dan Suciu:
Lara: A Key-Value Algebra underlying Arrays and Relations. CoRR abs/1604.03607 (2016) - [i3]Po-Shen Lee, Jevin D. West, Bill Howe:
Viziometrics: Analyzing Visual Information in the Scientific Literature. CoRR abs/1605.04951 (2016) - [i2]Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe:
From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database. CoRR abs/1606.07085 (2016) - 2015
- [j19]Dominik Moritz, Daniel Halperin, Bill Howe, Jeffrey Heer:
Perfopticon: Visual Query Analysis for Distributed Databases. Comput. Graph. Forum 34(3): 71-80 (2015) - [j18]Paraschos Koutris, Prasang Upadhyaya, Magdalena Balazinska, Bill Howe, Dan Suciu:
Query-Based Data Pricing. J. ACM 62(5): 43:1-43:44 (2015) - [j17]Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik:
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8(12): 1908-1911 (2015) - [j16]Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, Magdalena Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stanley B. Zdonik:
The BigDAWG Polystore System. SIGMOD Rec. 44(2): 11-16 (2015) - [c50]Jeremy Hyrkas, Daniel Halperin, Bill Howe:
Time-Varying Clusters in Large-Scale Flow Cytometry. AAAI 2015: 4022-4023 - [c49]Bill Howe:
Big Data Science Needs Big Data Middleware. CIDR 2015 - [c48]Po-Shen Lee, Bill Howe:
Dismantling Composite Visualizations in the Scientific Literature. ICPRAM (2) 2015: 79-91 - [c47]Po-Shen Lee, Bill Howe:
Detecting and Dismantling Composite Visualizations in the Scientific Literature. ICPRAM (Selected Papers) 2015: 247-266 - [c46]Seung-Hee Bae, Bill Howe:
GossipMap: a distributed community detection algorithm for billion-edge directed graphs. SC 2015: 27:1-27:12 - [c45]Abdussalam Alawini, David Maier, Kristin Tufte, Bill Howe, Rashmi Nandikur:
Towards automated prediction of relationships among scientific datasets. SSDBM 2015: 35:1-35:5 - [c44]Ryan Maas, Jeremy Hyrkas, Olivia Grace Telford, Magdalena Balazinska, Andrew J. Connolly, Bill Howe:
Gaussian Mixture Models Use-Case: In-Memory Analysis with Myria. IMDM@VLDB 2015: 3:1-3:8 - 2014
- [j15]Magdalena Balazinska, Bill Howe, Dan Suciu:
The database group at the University of Washington. SIGMOD Rec. 43(1): 39-44 (2014) - [c43]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 - [c42]Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan:
Should we all be teaching "intro to data science" instead of "intro to databases"? SIGMOD Conference 2014: 917-918 - [c41]Abdussalam Alawini, David Maier, Kristin Tufte, Bill Howe:
Helping scientists reconnect their datasets. SSDBM 2014: 29:1-29:12 - 2013
- [j14]Bill Howe, Daniel Halperin, Francois Ribalet, Sagar Chitnis, E. Virginia Armbrust:
Collaborative Science Workflows in SQL. Comput. Sci. Eng. 15(3): 22-31 (2013) - [j13]YongChul Kwon, Kai Ren, Magdalena Balazinska, Bill Howe:
Managing Skew in Hadoop. IEEE Data Eng. Bull. 36(1): 24-33 (2013) - [j12]Bill Howe:
Experience teaching a massive open online course (MOOC). J. Comput. Sci. Coll. 29(1): 108 (2013) - [j11]Kai Ren, YongChul Kwon, Magdalena Balazinska, Bill Howe:
Hadoop's Adolescence. Proc. VLDB Endow. 6(10): 853-864 (2013) - [c40]Magdalena Balazinska, Bill Howe, Paraschos Koutris, Dan Suciu, Prasang Upadhyaya:
A Discussion on Pricing Relational Data. In Search of Elegance in the Theory and Practice of Computation 2013: 167-173 - [c39]Prasang Upadhyaya, Nick R. Anderson, Magdalena Balazinska, Bill Howe, Raghav Kaushik, Ravishankar Ramamurthy, Dan Suciu:
Stop That Query! The Need for Managing Data Use. CIDR 2013 - [c38]Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe:
Scalable Flow-Based Community Detection for Large-Scale Network Analysis. ICDM Workshops 2013: 303-310 - [c37]Cliff A. Joslyn, Sutanay Choudhury, David Haglin, Bill Howe, Bill Nickless, Bryan Olsen:
Massive scale cyber traffic analysis: a driver for graph database research. GRADES 2013: 3 - [c36]Paraschos Koutris, Prasang Upadhyaya, Magdalena Balazinska, Bill Howe, Dan Suciu:
Toward practical query pricing with QueryMarket. SIGMOD Conference 2013: 613-624 - [c35]Prasang Upadhyaya, Nick R. Anderson, Magdalena Balazinska, Bill Howe, Raghav Kaushik, Ravishankar Ramamurthy, Dan Suciu:
The power of data use management in action. SIGMOD Conference 2013: 1117-1120 - [c34]Magdalena Balazinska, Susan B. Davidson, Bill Howe, Alexandros Labrinidis:
Education and career paths for data scientists. SSDBM 2013: 3:1-3:2 - [c33]Daniel Halperin, Francois Ribalet, Konstantin Weitz, Mak A. Saito, Bill Howe, E. Virginia Armbrust:
Real-time collaborative analysis with (almost) pure SQL: a case study in biogeochemical oceanography. SSDBM 2013: 28:1-28:12 - [c32]Brandon Myers, Jeremy Hyrkas, Daniel Halperin, Bill Howe:
Compiled Plans for In-Memory Path-Counting Queries. IMDM@VLDB 2013: 25-37 - [c31]Brandon Myers, Jeremy Hyrkas, Daniel Halperin, Bill Howe:
Compiled Plans for In-Memory Path-Counting Queries. IMDM@VLDB (Revised Selected Papers) 2013: 28-43 - 2012
- [j10]Bill Howe:
Virtual Appliances, Cloud Computing, and Reproducible Research. Comput. Sci. Eng. 14(4): 36-41 (2012) - [j9]Bill Howe, Daniel Halperin:
Advancing Declarative Query in the Long Tail of Science. IEEE Data Eng. Bull. 35(3): 16-26 (2012) - [j8]YongChul Kwon, Magdalena Balazinska, Bill Howe, Jerome A. Rolia:
SkewTune in Action: Mitigating Skew in MapReduce Applications. Proc. VLDB Endow. 5(12): 1934-1937 (2012) - [j7]Paraschos Koutris, Prasang Upadhyaya, Magdalena Balazinska, Bill Howe, Dan Suciu:
QueryMarket Demonstration: Pricing for Online Data Markets. Proc. VLDB Endow. 5(12): 1962-1965 (2012) - [j6]Yingyi Bu, Bill Howe, Magdalena Balazinska, Michael D. Ernst:
The HaLoop approach to large-scale iterative data analysis. VLDB J. 21(2): 169-190 (2012) - [c30]Bill Howe, Alicia Key, Daniel Perry, Cecilia R. Aragon:
VizDeck: a card game metaphor for fast visual data exploration. CHI Extended Abstracts 2012: 1667-1672 - [c29]Foto N. Afrati, Magdalena Balazinska, Anish Das Sarma, Bill Howe, Semih Salihoglu, Jeffrey D. Ullman:
Designing good algorithms for MapReduce and beyond. SoCC 2012: 26 - [c28]Marianne Shaw, Paraschos Koutris, Bill Howe, Dan Suciu:
Optimizing Large-Scale Semi-Naïve Datalog Evaluation in Hadoop. Datalog 2012: 165-176 - [c27]Paraschos Koutris, Prasang Upadhyaya, Magdalena Balazinska, Bill Howe, Dan Suciu:
Query-based data pricing. PODS 2012: 167-178 - [c26]Kai Ren, Garth Gibson, YongChul Kwon, Magdalena Balazinska, Bill Howe:
Abstract: Hadoop's Adolescence; A Comparative Workloads Analysis from Three Research Clusters. SC Companion 2012: 1452 - [c25]Kai Ren, Garth Gibson, YongChul Kwon, Magdalena Balazinska, Bill Howe:
Poster: Hadoop's Adolescence; A Comparative Workloads Analysis from Three Research Clusters. SC Companion 2012: 1453 - [c24]YongChul Kwon, Magdalena Balazinska, Bill Howe, Jerome A. Rolia:
SkewTune: mitigating skew in mapreduce applications. SIGMOD Conference 2012: 25-36 - [c23]Alicia Key, Bill Howe, Daniel Perry, Cecilia R. Aragon:
VizDeck: self-organizing dashboards for visual analytics. SIGMOD Conference 2012: 681-684 - 2011
- [j5]Magdalena Balazinska, Bill Howe, Dan Suciu:
Data Markets in the Cloud: An Opportunity for the Database Community. Proc. VLDB Endow. 4(12): 1482-1485 (2011) - [c22]Huy T. Vo, Jonathan Bronson, Brian Summa, João Luiz Dihl Comba, Juliana Freire, Bill Howe, Valerio Pascucci, Cláudio T. Silva:
Parallel visualization on large clusters using MapReduce. LDAV 2011: 81-88 - [c21]Bill Howe, Garrett Cole, Nodira Khoussainova, Leilani Battle:
Automatic example queries for ad hoc databases. SIGMOD Conference 2011: 1319-1322 - [c20]Bill Howe, Garrett Cole, Emad Soroush, Paraschos Koutris, Alicia Key, Nodira Khoussainova, Leilani Battle:
Database-as-a-Service for Long-Tail Science. SSDBM 2011: 480-489 - [c19]Yusra AlSayyad, K. Simon Krughoff, Bill Howe, Andrew J. Connolly, Magdalena Balazinska, Lynne Jones:
Towards Efficient and Precise Queries over Ten Million Asteroid Trajectory Models. SSDBM 2011: 568-570 - [e1]Peter Baumann, Bill Howe, Kjell Orsborn, Silvia Stefanova:
Proceedings of the 2011 EDBT/ICDT Workshop on Array Databases, Uppsala, Sweden, March 25, 2011. ACM 2011, ISBN 978-1-4503-0614-0 [contents] - 2010
- [j4]Yingyi Bu, Bill Howe, Magdalena Balazinska, Michael D. Ernst:
HaLoop: Efficient Iterative Data Processing on Large Clusters. Proc. VLDB Endow. 3(1): 285-296 (2010) - [c18]YongChul Kwon, Magdalena Balazinska, Bill Howe, Jerome A. Rolia:
Skew-resistant parallel processing of feature-extracting scientific user-defined functions. SoCC 2010: 75-86 - [c17]Keith Grochow, Mark Stoermer, James Fogarty, Charlotte Lee, Bill Howe, Edward D. Lazowska:
COVE: A Visual Environment for Multidisciplinary Ocean Science Collaboration. eScience 2010: 269-276 - [c16]Keith Grochow, Bill Howe, Mark Stoermer, Roger S. Barga, Edward D. Lazowska:
Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences. SSDBM 2010: 114-131 - [c15]YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, Magdalena Balazinska, Bill Howe, Sarah Loebman:
Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster. SSDBM 2010: 132-150 - [i1]Keith Wiley, Andrew J. Connolly, Jeffrey P. Gardner, K. Simon Krughoff, Magdalena Balazinska, Bill Howe, YongChul Kwon, Yingyi Bu:
Astronomy in the Cloud: Using MapReduce for Image Coaddition. CoRR abs/1010.1015 (2010)
2000 – 2009
- 2009
- [c14]Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill Howe, Magdalena Balazinska, Jeffrey P. Gardner:
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help? CLUSTER 2009: 1-10 - [c13]Dan Suciu, Andrew J. Connolly, Bill Howe:
Embracing Uncertainty in Large-Scale Computational Astrophysics. MUD 2009: 63-77 - [c12]Bill Howe, Harrison Green-Fishback, David Maier:
Scientific Mashups: Runtime-Configurable Data Product Ensembles. SSDBM 2009: 19-36 - 2008
- [j3]António M. Baptista, Bill Howe, Juliana Freire, David Maier, Cláudio T. Silva:
Scientific Exploration in the Era of Ocean Observatories. Comput. Sci. Eng. 10(3): 53-58 (2008) - [c11]Bill Howe, Peter Lawson, Renee Bellinger, Erik W. Anderson, Emanuele Santos, Juliana Freire, Carlos Eduardo Scheidegger, António M. Baptista, Cláudio T. Silva:
End-to-End eScience: Integrating Workflow, Query, Visualization, and Provenance at an Ocean Observatory. eScience 2008: 127-134 - [c10]Harrison Green-Fishback, Bill Howe:
Scientific Mashups: Runtime-Configurable Data Product Ensembles. eScience 2008: 442-443 - [c9]Bill Howe, David Maier, Nicolas Rayner, James Rucker:
Quarrying dataspaces: Schemaless profiling of unfamiliar information sources. ICDE Workshops 2008: 270-277 - 2007
- [c8]Bill Howe, David Maier, Laura Bright:
Smoothing the ROI Curve for Scientific Data Management Applications. CIDR 2007: 185-195 - 2006
- [c7]Laura Bright, David Maier, Bill Howe:
Managing the Forecast Factory. ICDE Workshops 2006: 64 - 2005
- [j2]Bill Howe, David Maier:
Algebraic manipulation of scientific datasets. VLDB J. 14(4): 397-416 (2005) - [c6]Bill Howe, David Maier:
Querying and Visualizing Gridded Datasets for e-Science. ICDE 2005: 1106-1107 - [c5]Bill Howe, David Maier:
Retrofitting a Data Model to Existing Environmental Data. SSDBM 2005: 3-13 - 2004
- [j1]Bill Howe, David Maier:
Logical and Physical Data Independence for Native Scientific Data Repositories. IEEE Data Eng. Bull. 27(4): 29-36 (2004) - [c4]Bill Howe, Kuldeep Tanna, Paul J. Turner, David Maier:
Emergent Semantics: Towards Self-Organizing Scientific Metadata.. ICSNW 2004: 177-198 - [c3]Bill Howe, David Maier:
Algebraic Manipulation of Scientific Datasets. VLDB 2004: 924-935 - 2003
- [c2]Marianne Koch, Lois M. L. Delcambre, Patricia Toccalino, Eric Landis, Fred Phillips, Timothy Tolle, Len Shapiro, Nicole Steckler, David Maier, Mathew Weaver, Shawn Bowers, Balbinder Banga, Jason Brewster, Afrem Gutema, Sudarshan Murthy, Bill Howe, Rupa Tummala, Julia Norman, Kirsten Zilman, David Drake, Craig Palmer, Ashley Burt:
The Forest Portal: A Multidisciplinary Project. DG.O 2003 - 2002
- [c1]Mathew Weaver, Bill Howe, Lois M. L. Delcambre, Timothy Tolle, David Maier:
Representing, Exploiting, and Extracting Metadata using Metadata++. DG.O 2002
Coauthor Index
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