Eugene Wu
Artificial Intelligence · 2006–2019
A researcher in the Science corpus: 18 papers; trusts 89 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 132 citations into it; #4,219 of 35,345 by trust here, #5,359 by citations
- Management Science and Operations Research — 102 citations into it; #2,556 of 11,946 by trust here, #1,012 by citations
- Computer Networks and Communications — 70 citations into it
- Information Systems — 62 citations into it; #5,281 of 8,771 by trust here, #2,064 by citations
- Signal Processing — 40 citations into it
- Computer Science Applications — 37 citations into it; #755 of 1,855 by trust here, #728 by citations
- Computer Vision and Pattern Recognition — 24 citations into it
- Information Systems and Management — 18 citations into it; #567 of 3,842 by trust here, #2,296 by citations
Whom Eugene Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanjay Krishnan
- M. Franklin
- Mohamed Yakout
- Jiannan Wang
- Joseph M Hellerstein
- Samuel Madden
- Tim Kraska
- Yvan Saeys
- Yanlei Diao
- Vijayshankar Raman
Who trusts Eugene Wu overall
- Sanjay Krishnan
- Ihab F. Ilyas
- M. Franklin
- Peter Bailis
- Adam Marcus
- Jiannan Wang
- Yinjun Wu
- Xu Chu
- Samuel Madden
- Ken Goldberg
Papers from Eugene Wu's perspective
Ordered by how strongly the researchers Eugene Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Et al
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- WebTables: exploring the power of tables on the web (2008) — 765 citations
- ActiveClean: Interactive Data Cleaning For Statistical Modeling (2016) — 282 citations
- Human-powered Sorts and Joins (2011) — 321 citations
- Wisteria: Nurturing Scalable Data Cleaning Infrastructure (2015) — 43 citations
- ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models (2016) — 29 citations
- Towards reliable interactive data cleaning: a user survey and recommendations (2016) — 72 citations
- ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning (2016) — 71 citations
- AlphaClean: Automatic Generation of Data Cleaning Pipelines (2019) — 61 citations
- Ten Years of WebTables (2018) — 66 citations
- PALM: Machine Learning Explanations For Iterative Debugging (2017) — 86 citations
- Combining Design and Performance in a Data Visualization Management System (2017) — 30 citations
- BoostClean: Automated Error Detection and Repair for Machine Learning (2017) — 116 citations
- Collaborative Data Analytics with DataHub (2015) — 57 citations
- SampleClean: Fast and Reliable Analytics on Dirty Data (2015) — 61 citations
- Scorpion: Explaining Away Outliers in Aggregate Queries (2013) — 262 citations
- Relational Cloud: a Database Service for the cloud (2011) — 417 citations
- Crowdsourced Databases: Query Processing with People (2011) — 244 citations
- High-performance complex event processing over streams (2006) — 954 citations