Publications
2021
2019
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Niseko: a Large-Scale Meta-Learning Dataset
Zeyuan Shang, Emanuel Zgraggen, Philipp Eichmann, Tim Kraska
Workshop on Meta-Learning at NeurIPS 2019
[Appendix]
[Code]
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Alpine Meadow: A System for Interactive AutoML
Zeyuan Shang, Emanuel Zgraggen, Tim Kraska
Workshop on Systems for ML at NeurIPS 2019
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Balance-Aware Distributed String Similarity-Based Query Processing System
Ji Sun, Zeyuan Shang, Guoliang Li, Dong Deng, Zhifeng Bao
VLDB 2019
[Talk]
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Democratizing Data Science through Interactive Curation of ML Pipelines
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska
SIGMOD 2019
[Talk]
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How I Learned to Stop Worrying and Love Re-optimization
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
ICDE 2019
2018
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Towards Interactive Curation & Automatic Tuning of ML Pipelines
Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert Zeleznik, Emanuel Zgraggen
DEEM 2018 (in conjunction with SIGMOD/PODS 2018)
[Talk]
-
DITA: A Distributed In-Memory Trajectory Analytics System
Zeyuan Shang, Guoliang Li, Zhifeng Bao
SIGMOD 2018 (demo)
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DITA: Distributed In-Memory Trajectory Analytics
Zeyuan Shang, Guoliang Li, Zhifeng Bao
SIGMOD 2018
[Talk]
[Code]
2017
2016