Huy Tu | DeepAI

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David Lo
123 publications
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Luca Soldaini
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Zhe Yu
21 publications
Vivek Nair
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Rui Shu
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Hong Jin Kang
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Rahul Yedida
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∙ 07/15/2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms

Bias evaluation benchmarks and dataset and model documentation have emer...

0 Organizers of QueerInAI, et al. ∙

∙ 02/03/2023

Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics

In many domains, there are many examples and far fewer labels for those ...

0 Huy Tu, et al. ∙

∙ 05/21/2022

How to Find Actionable Static Analysis Warnings

Automatically generated static code warnings suffer from a large number ...

0 Rahul Yedida, et al. ∙

∙ 05/02/2022

Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)

Background: Most of the existing machine learning models for security ta...

0 Rui Shu, et al. ∙

∙ 01/25/2022

DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning

Keeping track of and managing Self-Admitted Technical Debts (SATDs) is i...

5 Huy Tu, et al. ∙

∙ 11/03/2021

Can We Achieve Fairness Using Semi-Supervised Learning?

Ethical bias in machine learning models has become a matter of concern i...

0 Joymallya Chakraborty, et al. ∙

∙ 08/22/2021

FRUGAL: Unlocking SSL for Software Analytics

Standard software analytics often involves having a large amount of data...

0 Huy Tu, et al. ∙

∙ 03/22/2021

Mining Scientific Workflows for Anomalous Data Transfers

Modern scientific workflows are data-driven and are often executed on di...

0 Huy Tu, et al. ∙

∙ 03/12/2020

The Changing Nature of Computational Science Software

How should software engineering be adapted for Computational Science (CS...

0 Huy Tu, et al. ∙

∙ 02/25/2020

Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach

Keeping track of and managing the self-admitted technical debts (SATDs) ...

0 Zhe Yu, et al. ∙

∙ 05/05/2019

Enhanced Labeling of Issue Reports (with F^3T)

Standard automatic methods for recognizing problematic code can be great...

0 Huy Tu, et al. ∙

∙ 07/29/2018

Is One Hyperparameter Optimizer Enough?

Hyperparameter tuning is the black art of automatically finding a good c...

0 Huy Tu, et al. ∙

∙ 07/29/2018

While Tuning is Good, No Tuner is Best

Hyperparameter tuning is the black art of automatically finding a good c...

0 Huy Tu, et al. ∙

∙ 04/27/2018

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications

Text mining methods are used for a wide range of Software Engineering (S...

0 Amritanshu Agrawal, et al. ∙

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