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ORCIDEugene Wu 0002
Person information
- affiliation: Columbia University, New York City, USA
- affiliation (PhD): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Eugene Wu 0001 (aka: Eugene C. Wu) — Lockheed Martin Engineering & Sciences Company, Houston, TX, USA (and 1 more)
- Eugene Wu 0003 — MIT Lincoln Laboratory, Lexington, MA, USA
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2020 – today
- 2024
[j33]Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu:
SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. Proc. VLDB Endow. 17(12): 4173-4186 (2024)- [c64]Zezhou Huang, Jiaxiang Liu, Haonan Wang, Eugene Wu:
The Fast and the Private: Task-based Dataset Search. CIDR 2024 - [c63]Jiaxiang Liu
, Zezhou Huang, Eugene Wu:
SET: Searching Effective Supervised Learning Augmentations in Large Tabular Data Repositories. GUIDE-AI@SIGMOD 2024: 26-31 - [c62]Zezhou Huang, Eugene Wu:
Cocoon: Semantic Table Profiling Using Large Language Models. HILDA@SIGMOD 2024: 1-7 - [c61]Zezhou Huang, Eugene Wu:
Relationalizing Tables with Large Language Models: The Promise and Challenges. ICDEW 2024: 305-309 - [c60]Haneen Mohammed, Alexander Yao, Lampros Flokas, Hongbin Zhong, Charlie Summers, Eugene Wu:
Accelerating Deletion Interventions on OLAP Workload. ICDE 2024: 5659 - [c59]Zezhou Huang, Jia Guo, Eugene Wu:
Transform Table to Database Using Large Language Models. VLDB Workshops 2024 - [i55]Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu:
SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR abs/2401.03038 (2024) - [i54]Zezhou Huang, Eugene Wu:
Cocoon: Semantic Table Profiling Using Large Language Models. CoRR abs/2404.12552 (2024) - [i53]Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu:
Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR abs/2405.04674 (2024) - [i52]Eugene Wu, Remco Chang:
Design-Specific Transformations in Visualization. CoRR abs/2407.06404 (2024) - [i51]Shreya Shankar, Aditya G. Parameswaran, Eugene Wu:
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. CoRR abs/2410.12189 (2024) - [i50]Shuo Zhang, Zezhou Huang, Eugene Wu:
Data Cleaning Using Large Language Models. CoRR abs/2410.15547 (2024) - 2023
- [j32]Yunhai Wang, Yuchun Wang, Xin Chen, Yue Zhao, Fan Zhang, Eugene Wu, Chi-Wing Fu, Xiaohui Yu:
OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series. Proc. ACM Manag. Data 1(2): 145:1-145:24 (2023) - [j31]Zezhou Huang, Eugene Wu:
Lightweight Materialization for Fast Dashboards Over Joins. Proc. ACM Manag. Data 1(4): 248:1-248:27 (2023) - [j30]Gerardo Vitagliano, Mazhar Hameed, Lan Jiang, Lucas Reisener, Eugene Wu, Felix Naumann:
Pollock: A Data Loading Benchmark. Proc. VLDB Endow. 16(8): 1870-1882 (2023) - [j29]Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. Proc. VLDB Endow. 16(11): 3057-3070 (2023) - [j28]Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu:
JoinBoost: Grow Trees Over Normalized Data Using Only SQL. Proc. VLDB Endow. 16(11): 3071-3084 (2023) - [c58]Zezhou Huang, Pavan Kalyan Damalapati, Rathijit Sen, Eugene Wu:
Random Forests over normalized data in CPU-GPU DBMSes. DaMoN 2023: 98-101 - [c57]Sam Lau, Sean Kross, Eugene Wu, Philip J. Guo:
Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor. DataEd@SIGMOD 2023 - [c56]Yiru Chen, Jeffrey Tao, Eugene Wu:
DIG: The Data Interface Grammar. HILDA@SIGMOD 2023: 7:1-7:7 - [c55]Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. HILDA@SIGMOD 2023: 8:1-8:7 - [c54]Stephen Xia, Minghui Zhao, Charuvahan Adhivarahan, Kaiyuan Hou, Yuyang Chen, Jingping Nie, Eugene Wu, Karthik Dantu, Xiaofan Jiang:
Anemoi: A Low-cost Sensorless Indoor Drone System for Automatic Mapping of 3D Airflow Fields. MobiCom 2023: 77:1-77:16 - [c53]Haneen Mohammed, Charlie Summers, Sughosh V. Kaushik, Eugene Wu:
SmokedDuck Demonstration: SQLStepper. SIGMOD Conference Companion 2023: 183-186 - [i49]Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez, Eugene Wu:
Kitana: Efficient Data Augmentation Search for AutoML. CoRR abs/2305.10419 (2023) - [i48]Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. CoRR abs/2307.00417 (2023) - [i47]Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu:
JoinBoost: Grow Trees Over Normalized Data Using Only SQL. CoRR abs/2307.00422 (2023) - [i46]Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. CoRR abs/2307.00432 (2023) - [i45]Yiru Chen, Jeffrey Tao, Eugene Wu:
DIG: The Data Interface Grammar. CoRR abs/2307.03336 (2023) - [i44]Zezhou Huang, Jiaxiang Liu, Haonan Wang, Eugene Wu:
The Fast and the Private: Task-based Dataset Search. CoRR abs/2308.05637 (2023) - [i43]Zezhou Huang, Eugene Wu:
Lightweight Materialization for Fast Dashboards Over Joins. CoRR abs/2308.12480 (2023) - [i42]Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL. CoRR abs/2310.18742 (2023) - [i41]Tejit Pabari, Beth Tellman, Giannis Karamanolakis, Mitchell Thomas, Max Mauerman, Eugene Wu, Upmanu Lall, Marco Tedesco, Michael S. Steckler, Paolo Colosio, Daniel E. Osgood, Melody Braun, Jens de Bruijn, Shammun Islam:
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance. CoRR abs/2312.14943 (2023) - 2022
- [j27]Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou:
ConnectorX: Accelerating Data Loading From Databases to Dataframes. Proc. VLDB Endow. 15(11): 2994-3003 (2022) - [j26]Yifan Wu, Remco Chang, Joseph M. Hellerstein, Arvind Satyanarayan, Eugene Wu:
DIEL: Interactive Visualization Beyond the Here and Now. IEEE Trans. Vis. Comput. Graph. 28(1): 737-746 (2022) - [j25]Eugene Wu:
View Composition Algebra for Ad Hoc Comparison. IEEE Trans. Vis. Comput. Graph. 28(6): 2470-2485 (2022) - [j24]Marianne Procopio, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang:
Impact of Cognitive Biases on Progressive Visualization. IEEE Trans. Vis. Comput. Graph. 28(9): 3093-3112 (2022) - [c52]Lampros Flokas, Weiyuan Wu, Jiannan Wang, Nakul Verma, Eugene Wu:
How I stopped worrying about training data bugs and started complaining. DEEM@SIGMOD 2022: 1:1-1:5 - [c51]Yanchen Liu, Minghui Zhao, Stephen Xia, Eugene Wu, Xiaofan Jiang:
A sensorless drone-based system for mapping indoor 3D airflow gradients: demo abstract. MobiSys 2022: 634-635 - [c50]Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu:
Complaint-Driven Training Data Debugging at Interactive Speeds. SIGMOD Conference 2022: 369-383 - [c49]Zezhou Huang, Eugene Wu:
Reptile: Aggregation-level Explanations for Hierarchical Data. SIGMOD Conference 2022: 399-413 - [c48]Yiru Chen, Eugene Wu:
PI2: End-to-end Interactive Visualization Interface Generation from Queries. SIGMOD Conference 2022: 1711-1725 - [c47]Jeffrey Tao, Yiru Chen, Eugene Wu:
Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook. SIGMOD Conference 2022: 2365-2368 - [d1]Marianne Procopio, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang:
Impact of Cognitive Biases on Progressive Visualization. IEEE DataPort, 2022
- [i40]Jeffrey Tao, Yiru Chen, Eugene Wu:
Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook. CoRR abs/2201.05664 (2022) - [i39]Eugene Wu:
View Composition Algebra for Ad Hoc Comparison. CoRR abs/2202.07836 (2022) - [i38]Ashley Suh, Yilan Jiang, Abigail Mosca, Eugene Wu, Remco Chang:
A Grammar for Hypothesis-Driven Visual Analysis. CoRR abs/2204.14267 (2022) - [i37]Shelly Cheng, Hazel Zhu, Eugene Wu:
How Do Captions Affect Visualization Reading? CoRR abs/2205.01263 (2022) - [i36]Eugene Wu:
Extending the View Composition Algebra to Hierarchical Data. CoRR abs/2205.01283 (2022) - [i35]Yiru Chen, Ryan Li, Austin Mac, Tianbao Xie, Tao Yu, Eugene Wu:
NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries. CoRR abs/2209.08834 (2022) - [i34]Zezhou Huang, Eugene Wu:
Calibration: A Simple Trick for Wide-table Delta Analytics. CoRR abs/2210.03851 (2022) - 2021
- [j23]Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu:
From Cleaning before ML to Cleaning for ML. IEEE Data Eng. Bull. 44(1): 24-41 (2021) - [j22]Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu:
Explaining Inference Queries with Bayesian Optimization. Proc. VLDB Endow. 14(11): 2576-2585 (2021) - [j21]Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu:
Enabling SQL-based Training Data Debugging for Federated Learning. Proc. VLDB Endow. 15(3): 388-400 (2021) - [c46]Robert Netzorg, Lauren Arnett, Augustin Chaintreau, Eugene Wu:
PopFactor: Live-Streamer Behavior and Popularity. ICWSM 2021: 432-442 - [c45]Jacob Fisher, Remco Chang, Eugene Wu:
Automatic Y-axis Rescaling in Dynamic Visualizations. IEEE VIS (Short Papers) 2021: 116-120 - [i33]Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu:
Explaining Inference Queries with Bayesian Optimization. CoRR abs/2102.05308 (2021) - [i32]Zezhou Huang, Eugene Wu:
Reptile: Aggregation-level Explanations for Hierarchical Data. CoRR abs/2103.07037 (2021) - [i31]Yiru Chen, Eugene Wu:
PI2: Generating Visual Analysis Interfaces From Queries. CoRR abs/2107.08203 (2021) - [i30]Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu:
Enabling SQL-based Training Data Debugging for Federated Learning. CoRR abs/2108.11884 (2021) - [i29]Jacob Fisher, Remco Chang, Eugene Wu:
Automatic Y-axis Rescaling in Dynamic Visualizations. CoRR abs/2109.09618 (2021) - [i28]Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu, Leonard Tang, Elizabeth Ke, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang:
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. CoRR abs/2112.15594 (2021) - 2020
- [j20]Haneen Mohammed, Ziyun Wei, Ravi Netravali, Eugene Wu:
Continuous Prefetch for Interactive Data Applications. Proc. VLDB Endow. 13(11): 2297-2311 (2020) - [j19]Liang Zhao, Qingcan Li, Pei Wang, Jiannan Wang, Eugene Wu:
ActiveDeeper: A Model-based Active Data Enrichment System. Proc. VLDB Endow. 13(12): 2885-2888 (2020) - [c44]Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang:
Complaint-driven Training Data Debugging for Query 2.0. SIGMOD Conference 2020: 1317-1334 - [c43]Lana Ramjit, Zhaoning Kong, Ravi Netravali, Eugene Wu:
Physical Visualization Design. SIGMOD Conference 2020: 2809-2812 - [c42]Yifan Wu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Facilitating Exploration with Interaction Snapshots under High Latency. IEEE VIS (Short Papers) 2020: 136-140 - [i27]Yiru Chen, Eugene Wu:
Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces. CoRR abs/2001.01902 (2020) - [i26]Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang:
Complaint-driven Training Data Debugging for Query 2.0. CoRR abs/2004.05722 (2020) - [i25]Haneen Mohammed, Ziyun Wei, Eugene Wu, Ravi Netravali:
Continuous Prefetch for Interactive Data Applications. CoRR abs/2007.07858 (2020)
2010 – 2019
- 2019
- [j18]Marianne Procopio, Carlos Scheidegger, Eugene Wu, Remco Chang:
Selective Wander Join: Fast Progressive Visualizations for Data Joins. Informatics 6(1): 14 (2019) - [j17]Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. IEEE Trans. Vis. Comput. Graph. 25(1): 872-881 (2019) - [c41]Lauren Arnett, Robert Netzorg, Augustin Chaintreau, Eugene Wu:
Cross-platform Interactions and Popularity in the Live-streaming Community. CHI Extended Abstracts 2019 - [c40]Eugene Wu:
Crazy Idea! Databases ⨝ Reinforcement-learning Research (CIDR2). CIDR 2019 - [c39]Lana Ramjit, Matteo Interlandi, Eugene Wu, Ravi Netravali:
Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks. SoCC 2019: 206-219 - [c38]Pei Wang, Ryan Shea, Jiannan Wang, Eugene Wu:
Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment. SIGMOD Conference 2019: 229-246 - [c37]Qianrui Zhang, Haoci Zhang, Thibault Sellam, Eugene Wu:
Mining Precision Interfaces From Query Logs. SIGMOD Conference 2019: 988-1005 - [c36]Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. SIGMOD Conference 2019: 1117-1134 - [c35]Nan Tang, Eugene Wu, Guoliang Li:
Towards Democratizing Relational Data Visualization. SIGMOD Conference 2019: 2025-2030 - [i24]Qianrui Zhang, Haoci Zhang, Thibault Sellam, Eugene Wu:
Mining Precision Interfaces From Query Logs. CoRR abs/1904.02344 (2019) - [i23]Sanjay Krishnan, Eugene Wu:
AlphaClean: Automatic Generation of Data Cleaning Pipelines. CoRR abs/1904.11827 (2019) - [i22]Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
DIEL: Transparent Scaling for Interactive Visualization. CoRR abs/1907.00062 (2019) - [i21]Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
Programming with Timespans in Interactive Visualizations. CoRR abs/1907.00075 (2019) - 2018
- [j16]Fotis Psallidas, Eugene Wu:
Smoke: Fine-grained Lineage at Interactive Speed. Proc. VLDB Endow. 11(6): 719-732 (2018) - [j15]Michael J. Cafarella, Alon Y. Halevy, Hongrae Lee, Jayant Madhavan, Cong Yu, Daisy Zhe Wang, Eugene Wu:
Ten Years of WebTables. Proc. VLDB Endow. 11(12): 2140-2149 (2018) - [c34]Hamed Nilforoshan, Eugene Wu:
Leveraging Quality Prediction Models for Automatic Writing Feedback. ICWSM 2018: 211-220 - [c33]Fotis Psallidas, Eugene Wu:
Provenance for Interactive Visualizations. HILDA@SIGMOD 2018: 9:1-9:8 - [c32]Haoci Zhang, Viraj Raj, Thibault Sellam, Eugene Wu:
Precision Interfaces for Different Modalities. SIGMOD Conference 2018: 1777-1780 - [c31]Fotis Psallidas, Eugene Wu:
Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications. SIGMOD Conference 2018: 1781-1784 - [c30]Pei Wang, Yongjun He, Ryan Shea, Jiannan Wang, Eugene Wu:
Deeper: A Data Enrichment System Powered by Deep Web. SIGMOD Conference 2018: 1801-1804 - [e1]Carsten Binnig, Juliana Freire, Eugene Wu:
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2018, Houston, TX, USA, June 10, 2018. ACM 2018 [contents] - [i20]Fotis Psallidas, Eugene Wu:
Smoke: Fine-grained Lineage at Interactive Speed. CoRR abs/1801.07237 (2018) - [i19]Fotis Psallidas, Eugene Wu:
Provenance for Interactive Visualizations. CoRR abs/1805.02622 (2018) - [i18]Yifan Wu, Larry Xu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Making Sense of Asynchrony in Interactive Data Visualizations. CoRR abs/1806.01499 (2018) - [i17]Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. CoRR abs/1808.04486 (2018) - [i16]Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. CoRR abs/1811.03180 (2018) - [i15]Robert Netzorg, Lauren Arnett, Augustin Chaintreau, Eugene Wu:
PopFactor: Live-Streamer Behavior and Popularity. CoRR abs/1812.03379 (2018) - 2017
- [c29]Eugene Wu:
CIDR: Chat-oriented Innovations in Database Research. CIDR 2017 - [c28]Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig:
Combining Design and Performance in a Data Visualization Management System. CIDR 2017 - [c27]Oliver Kennedy, D. Richard Hipp, Stratos Idreos, Amélie Marian, Arnab Nandi, Carmela Troncoso, Eugene Wu:
Small Data. ICDE 2017: 1475-1476 - [c26]Sanjay Krishnan, Eugene Wu:
PALM: Machine Learning Explanations For Iterative Debugging. HILDA@SIGMOD 2017: 4:1-4:6 - [c25]Haoci Zhang, Thibault Sellam, Eugene Wu:
Precision Interfaces. HILDA@SIGMOD 2017: 10:1-10:6 - [c24]Xiaolan Wang, Alexandra Meliou, Eugene Wu:
QFix: Diagnosing Errors through Query Histories. SIGMOD Conference 2017: 1369-1384 - [i14]Hamed Nilforoshan, James Sands, Kevin Lin, Rahul Khanna, Eugene Wu:
Dialectic: Enhancing Text Input Fields with Automatic Feedback to Improve Social Content Writing Quality. CoRR abs/1701.06718 (2017) - [i13]Hamed Nilforoshan, Jiannan Wang, Eugene Wu:
PreCog: Improving Crowdsourced Data Quality Before Acquisition. CoRR abs/1704.02384 (2017) - [i12]Haoci Zhang, Thibault Sellam, Eugene Wu:
Precision Interfaces. CoRR abs/1704.03022 (2017) - [i11]Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Eugene Wu:
BoostClean: Automated Error Detection and Repair for Machine Learning. CoRR abs/1711.01299 (2017) - [i10]Haoci Zhang, Thibault Sellam, Eugene Wu:
Mining Precision Interfaces From Query Logs. CoRR abs/1712.00078 (2017) - 2016
- [j14]Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg:
ActiveClean: Interactive Data Cleaning For Statistical Modeling. Proc. VLDB Endow. 9(12): 948-959 (2016) - [j13]Liwen Sun, Michael J. Franklin, Jiannan Wang, Eugene Wu:
Skipping-oriented Partitioning for Columnar Layouts. Proc. VLDB Endow. 10(4): 421-432 (2016) - [c23]Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu:
Towards reliable interactive data cleaning: a user survey and recommendations. HILDA@SIGMOD 2016: 9 - [c22]Daniel Alabi, Eugene Wu:
PFunk-H: approximate query processing using perceptual models. HILDA@SIGMOD 2016: 10 - [c21]Niranjan Kamat, Eugene Wu, Arnab Nandi:
TrendQuery: a system for interactive exploration of trends. HILDA@SIGMOD 2016: 12 - [c20]Yifan Wu, Joseph M. Hellerstein, Eugene Wu:
A DeVIL-ish approach to inconsistency in interactive visualizations. HILDA@SIGMOD 2016: 15 - [c19]Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu:
ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning. SIGMOD Conference 2016: 2117-2120 - [c18]Xiaolan Wang, Alexandra Meliou, Eugene Wu:
QFix: Demonstrating Error Diagnosis in Query Histories. SIGMOD Conference 2016: 2177-2180 - [i9]Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg:
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models. CoRR abs/1601.03797 (2016) - [i8]Xiaolan Wang, Alexandra Meliou, Eugene Wu:
QFix: Diagnosing errors through query histories. CoRR abs/1601.07539 (2016) - [i7]Eugene Wu, Lilong Jiang, Larry Xu, Arnab Nandi:
Graphical Perception in Animated Bar Charts. CoRR abs/1604.00080 (2016) - 2015
- [b1]Eugene Wu:
Explaining data in visual analytic systems. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015 - [j12]Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu:
SampleClean: Fast and Reliable Analytics on Dirty Data. IEEE Data Eng. Bull. 38(3): 59-75 (2015) - [j11]Anant P. Bhardwaj, Amol Deshpande, Aaron J. Elmore, David R. Karger, Sam Madden, Aditya G. Parameswaran, Harihar Subramanyam, Eugene Wu, Rebecca Zhang:
Collaborative Data Analytics with DataHub. Proc. VLDB Endow. 8(12): 1916-1919 (2015) - [j10]Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu:
Wisteria: Nurturing Scalable Data Cleaning Infrastructure. Proc. VLDB Endow. 8(12): 2004-2007 (2015) - [j9]