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Yuhao Zhang
Yuhao Zhang
PHD student, Computer Science & Engineering Department, UCSD
Verified email at eng.ucsd.edu - Homepage
Title
Cited by
Cited by
Year
Cerebro: A data system for optimized deep learning model selection
S Nakandala, Y Zhang, A Kumar
Proceedings of the VLDB Endowment 13 (12), 2159-2173, 2020
632020
Panorama: a data system for unbounded vocabulary querying over video
Y Zhang, A Kumar
Proceedings of the VLDB Endowment 13 (4), 477-491, 2019
422019
Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches
AK Yuhao Zhang, Frank McQuillan, Nandish Jayaram, Nikhil Kak, Ekta Khanna ...
Proceedings of the VLDB Endowment 14 (10), 1769, 2021
332021
Cerebro: A Layered Data Platform for Scalable Deep Learning
A Kumar, S Nakandala, Y Zhang, S Li, A Gemawat, K Nagrecha
11th Annual Conference on Innovative Data Systems Research (CIDR ‘21), 2021
292021
Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems
S Nakandala, Y Zhang, A Kumar
ACM SIGMOD DEEM 2019 WORKSHOP, 2019
212019
Three-generation neutrino oscillations in curved spacetime
YH Zhang, XQ Li
Nuclear Physics B 911, 563-581, 2016
182016
Lotan: Bridging the gap between gnns and scalable graph analytics engines
Y Zhang, A Kumar
Proceedings of the VLDB Endowment 16 (11), 2728-2741, 2023
32023
Self-regular black holes quantized by means of an analogue to hydrogen atoms
C Liu, YG Miao, YM Wu, YH Zhang
Advances in High Energy Physics 2016, 2016
22016
Survey of Graph Neural Network Systems
Y Zhang
Survey, 2021
2021
Scalability and Efficiency of Graph Neural Networks
Y Zhang
Survey, 2021
2021
Some Damaging Delusions of Deep Learning Practice
A Kumar, S Nakandala, Y Zhang
KDD 2021 Deep Learning Day, 2021
2021
(Tech Report) Lotan: Bridging the Gap between GNNs and Scalable Graph Analytics Engines
Y Zhang, A Kumar
https://adalabucsd.github.io/papers/TR_2022_Lotan.pdf, 0
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Articles 1–12