Zhe Yu

37 papers A 1Journal 31Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling Art Evaluations from Comparative Judgments: A Deep Learning Approach to Predicting Aesthetic Preferences.
CoRR
Manoj Reddy Bethi, Sai Rupa Jhade, Pravallika Yaganti, Monoshiz Mahbub Khan, Zhe Yu
2026 J jnl
Modeling Image-Caption Rating from Comparative Judgments.
CoRR
Kezia Minni, Qiang Zhang, Monoshiz Mahbub Khan, Zhe Yu
2025 J jnl
Approaching code search for python as a translation retrieval problem with dual encoders.
Empir. Softw. Eng.
Monoshiz Mahbub Khan, Zhe Yu
2025 J jnl
Efficient Story Point Estimation With Comparative Learning.
CoRR
Monoshiz Mahbub Khan, Xioayin Xi, Andrew Meneely, Zhe Yu
2024 J jnl
Approaching Code Search for Python as a Translation Retrieval Problem with Dual Encoders.
CoRR
Monoshiz Mahbub Khan, Zhe Yu
2024 J jnl
FairBalance: How to Achieve Equalized Odds With Data Pre-Processing.
IEEE Trans. Software Eng.
Zhe Yu, Joymallya Chakraborty, Tim Menzies
2022 J jnl
Assessing expert system-assisted literature reviews with a case study.
Expert Syst. Appl.
Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies
2022 J jnl
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction).
IEEE Trans. Software Eng.
Huy Tu, Zhe Yu, Tim Menzies
2022 J jnl
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach.
IEEE Trans. Software Eng.
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
2021 J jnl
Improving Vulnerability Inspection Efficiency Using Active Learning.
IEEE Trans. Software Eng.
Zhe Yu, Christopher Theisen, Laurie A. Williams, Tim Menzies
2021 J jnl
Learning to recognize actionable static code warnings (is intrinsically easy).
Empir. Softw. Eng.
Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies
2021 J jnl
Understanding static code warnings: An incremental AI approach.
Expert Syst. Appl.
Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies
2020 J jnl
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng.
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2020 — conf
Fairway: a way to build fair ML software.
ESEC/SIGSOFT FSE
Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies
2020 J jnl
Finding Faster Configurations Using FLASH.
IEEE Trans. Software Eng.
Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel
2020 J jnl
How to Recognize Actionable Static Code Warnings (Using Linear SVMs).
CoRR
Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies
2020 J jnl
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach.
CoRR
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
2019 J jnl
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning).
CoRR
Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies
2019 J jnl
Better Technical Debt Detection via SURVEYing.
CoRR
Fahmid M. Fahid, Zhe Yu, Tim Menzies
2019 J jnl
FAST
Expert Syst. Appl.
Zhe Yu, Tim Menzies
2019 J jnl
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review.
CoRR
Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies
2019 J jnl
TERMINATOR: Better Automated UI Test Case Prioritization.
CoRR
Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian
2019 — conf
TERMINATOR: better automated UI test case prioritization.
ESEC/SIGSOFT FSE
Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian
2018 J jnl
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers.
CoRR
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 J jnl
Cost-aware Vulnerability Prediction: the HARMLESS Approach.
CoRR
Zhe Yu, Christopher Theisen, Hyunwoo Sohn, Laurie A. Williams, Tim Menzies
2018 J jnl
Crowdtesting : When is The Party Over?
CoRR
Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang
2018 J jnl
Data-Driven Search-based Software Engineering.
CoRR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 A conf
Data-driven search-based software engineering.
MSR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 J jnl
Finding Faster Configurations using FLASH.
CoRR
Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel
2018 J jnl
Finding better active learners for faster literature reviews.
Empir. Softw. Eng.
Zhe Yu, Nicholas A. Kraft, Tim Menzies
2018 J jnl
Total Recall, Language Processing, and Software Engineering.
CoRR
Zhe Yu, Tim Menzies
2018 — conf
Total recall, language processing, and software engineering.
NL4SE@ESEC/SIGSOFT FSE
Zhe Yu, Tim Menzies
2017 — conf
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting.
CLEF (Working Notes)
Zhe Yu, Tim Menzies
2017 J jnl
FLASH: A Faster Optimizer for SBSE Tasks.
CoRR
Vivek Nair, Zhe Yu, Tim Menzies
2017 J jnl
Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge?
CoRR
Zhe Yu, Tim Menzies
2016 J jnl
How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews.
CoRR
Zhe Yu, Nicholas A. Kraft, Tim Menzies
2016 — conf
The "BigSE" project: lessons learned from validating industrial text mining.
BIGDSE@ICSE
Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf