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Dan Zhao

Orcid: 0009-0009-5100-5147

Affiliations:
  • New York University, NY, USA
  • Massachusetts Institute of Technology, Lincoln Laboratory, Cambridge, MA, USA


According to our database1, Dan Zhao authored at least 10 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Entangling Machine Learning with Quantum Tensor Networks.
[BibTeX]
[DOI]
Constantijn van der Poel
,
Dan Zhao
CoRR, 2024

Improvements & Evaluations on the MLCommons CloudMask Benchmark.
[BibTeX]
[DOI]
Varshitha Chennamsetti
,
Laiba Mehnaz
,
Dan Zhao
,
Banani Ghosh
,
Sergey V. Samsonau
CoRR, 2024

2023
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks.
[BibTeX]
[DOI]
Dan Zhao
CoRR, 2023

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
[BibTeX]
[DOI]
Siddharth Samsi
,
Dan Zhao
,
Joseph McDonald
,
Baolin Li
,
Adam Michaleas
,
Michael Jones
,
William Bergeron
,
Jeremy Kepner
,
Devesh Tiwari
,
Vijay Gadepally
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
[BibTeX]
[DOI]
Dan Zhao
,
Siddharth Samsi
,
Joseph McDonald
,
Baolin Li
,
David Bestor
,
Michael Jones
,
Devesh Tiwari
,
Vijay Gadepally
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022
AI Enabled Maneuver Identification via the Maneuver Identification Challenge.
[BibTeX]
[DOI]
Kaira Samuel
,
Matthew LaRosa
,
Kyle McAlpin
,
Morgan Schaefer
,
Brandon Swenson
,
Devin Wasilefsky
,
Yan Wu
,
Dan Zhao
,
Jeremy Kepner
CoRR, 2022

A Green(er) World for A.I.
[BibTeX]
[DOI]
Dan Zhao
,
Nathan C. Frey
,
Joseph McDonald
,
Matthew Hubbell
,
David Bestor
,
Michael Jones
,
Andrew Prout
,
Vijay Gadepally
,
Siddharth Samsi
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation.
[BibTeX]
[DOI]
Dan Zhao
,
Nathan C. Frey
,
Vijay Gadepally
,
Siddharth Samsi
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Energy-aware neural architecture selection and hyperparameter optimization.
[BibTeX]
[DOI]
Nathan C. Frey
,
Dan Zhao
,
Simon Axelrod
,
Michael Jones
,
David Bestor
,
Vijay Gadepally
,
Rafael Gómez-Bombarelli
,
Siddharth Samsi
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Benchmarking Resource Usage for Efficient Distributed Deep Learning.
[BibTeX]
[DOI]
Nathan C. Frey
,
Baolin Li
,
Joseph McDonald
,
Dan Zhao
,
Michael Jones
,
David Bestor
,
Devesh Tiwari
,
Vijay Gadepally
,
Siddharth Samsi
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022


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