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Yiwen Zhu
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Year
A probabilistic passenger-to-train assignment model based on automated data
Y Zhu, HN Koutsopoulos, NHM Wilson
Transportation Research Part B: Methodological 104, 522-542, 2017
1102017
Machine learning at Microsoft with ML. NET
Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
692019
Transit data analytics for planning, monitoring, control, and information
HN Koutsopoulos, Z Ma, P Noursalehi, Y Zhu
Mobility patterns, big data and transport analytics, 229-261, 2019
502019
Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines
F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ...
ACM SIGMOD Record 51 (2), 30-37, 2022
482022
Vamsa: Automated provenance tracking in data science scripts
MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu, Y Zhu, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
482020
Inferring left behind passengers in congested metro systems from automated data
Y Zhu, HN Koutsopoulos, NHM Wilson
Transportation research procedia 23, 362-379, 2017
452017
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ...
arXiv preprint arXiv:1909.00084, 2019
362019
Passenger itinerary inference model for congested urban rail networks
Y Zhu, HN Koutsopoulos, NHM Wilson
Transportation Research Part C: Emerging Technologies 123, 102896, 2021
282021
Automated data in transit: Recent developments and applications
HN Koutsopoulos, P Noursalehi, Y Zhu, NHM Wilson
2017 5th IEEE international conference on models and technologies for …, 2017
232017
Passenger-to-Train Assignment Model Based on Automated Data
Y Zhu
Massachusetts Institute of Technology, 2014
232014
Inferring left behind passengers in congested metro systems from automated data
Y Zhu, HN Koutsopoulos, NHM Wilson
Transportation Research Part C: Emerging Technologies 94, 323-337, 2018
202018
Seagull: An infrastructure for load prediction and optimized resource allocation
O Poppe, T Amuneke, D Banda, A De, A Green, M Knoertzer, ...
arXiv preprint arXiv:2009.12922, 2020
182020
Kea: Tuning an exabyte-scale data infrastructure
Y Zhu, S Krishnan, K Karanasos, I Tarte, C Power, A Modi, M Kumar, ...
Proceedings of the 2021 International Conference on Management of Data, 2667 …, 2021
152021
Griffon: Reasoning about job anomalies with unlabeled data in cloud-based platforms
L Shao, Y Zhu, S Liu, A Eswaran, K Lieber, J Mahajan, M Thigpen, ...
Proceedings of the ACM Symposium on Cloud Computing, 441-452, 2019
122019
MLOS: An infrastructure for automated software performance engineering
C Curino, N Godwal, B Kroth, S Kuryata, G Lapinski, S Liu, S Oks, ...
Proceedings of the Fourth International Workshop on Data Management for End …, 2020
102020
Phoebe: A Learning-based Checkpoint Optimizer
Y Zhu, M Interlandi, A Roy, K Das, H Patel, M Bag, H Sharma, A Jindal
Proceedings of the VLDB Endowment 14 (11), 2505-2518, 2021
82021
Passenger-to-itinerary assignment model based on automated data
Y Zhu
Northeastern University, 2017
72017
Data Science through the looking glass and what we found there. CoRR abs/1912.09536 (2019)
F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ...
arXiv preprint arXiv:1912.09536, 2019
62019
Towards Building Autonomous Data Services on Azure
Y Zhu, Y Tian, J Cahoon, S Krishnan, A Agarwal, R Alotaibi, ...
Companion of the 2023 International Conference on Management of Data, 217-224, 2023
22023
Tuning large data infrastructures
Y Zhu, SV Krishnan, K Karanasos, C Curino, I Tarte, S Darbha
US Patent 11,880,347, 2024
12024
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Articles 1–20