Md Shahriar Iqbal

Orcid: 0000-0001-5116-9429

According to our database1, Md Shahriar Iqbal authored at least 10 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks.
J. Artif. Intell. Res., 2023

CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022
Change Point Detection for MongoDB Time Series Performance Regression.
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper.
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Unicorn: reasoning about configurable system performance through the lens of causality.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

2021
Computational screening of 645 antiviral peptides against the receptor-binding domain of the spike protein in SARS-CoV-2.
Comput. Biol. Medicine, 2021

2020
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning.
CoRR, 2020

FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks.
CoRR, 2020

2019
Transfer Learning for Performance Modeling of Deep Neural Network Systems.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019


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