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ORCIDZhe Yu 0002
Person information
- affiliation: Rochester Institute of Technology, Department of Software Engineering, NY, USA
- affiliation: North Carolina State University, Department of Computer Science, Raleigh, NC, USA
Other persons with the same name
- Zhe Yu — disambiguation page
- Zhe Yu 0001
![[0000-0003-1068-2386]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1068-2386")
— DiDi Chuxing, Hangzhou, China (and 2 more) - Zhe Yu 0003 — Columbia University, Department of Biomedical Engineering, New York, USA
- Zhe Yu 0004 — Hangzhou Dianzi University, Automation College, China
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2020 – today
- 2026
[j13]Zhe Yu, Xiaoyin Xi, Pranam Prakash Shetty:
Differential Parity: Relative Fairness Between Two Sets of Decisions. J. Artif. Intell. Res. 86 (2026)- [i19]Kezia Minni, Qiang Zhang, Monoshiz Mahbub Khan, Zhe Yu:
Modeling Image-Caption Rating from Comparative Judgments. CoRR abs/2602.00381 (2026) - [i18]Manoj Reddy Bethi, Sai Rupa Jhade, Pravallika Yaganti, Monoshiz Mahbub Khan, Zhe Yu:
Modeling Art Evaluations from Comparative Judgments: A Deep Learning Approach to Predicting Aesthetic Preferences. CoRR abs/2602.00394 (2026) - 2025
- [j12]Monoshiz Mahbub Khan, Zhe Yu:
Approaching code search for python as a translation retrieval problem with dual encoders. Empir. Softw. Eng. 30(1): 12 (2025) - [i17]Monoshiz Mahbub Khan, Xioayin Xi, Andrew Meneely, Zhe Yu:
Efficient Story Point Estimation With Comparative Learning. CoRR abs/2507.14642 (2025) - 2024
- [j11]Zhe Yu, Joymallya Chakraborty, Tim Menzies:
FairBalance: How to Achieve Equalized Odds With Data Pre-Processing. IEEE Trans. Software Eng. 50(9): 2294-2312 (2024) - [i16]Monoshiz Mahbub Khan, Zhe Yu:
Approaching Code Search for Python as a Translation Retrieval Problem with Dual Encoders. CoRR abs/2410.03431 (2024) - 2022
- [j10]Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies:
Assessing expert system-assisted literature reviews with a case study. Expert Syst. Appl. 200: 116958 (2022) - [j9]Huy Tu, Zhe Yu, Tim Menzies:
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). IEEE Trans. Software Eng. 48(2): 278-294 (2022) - [j8]Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies:
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. IEEE Trans. Software Eng. 48(5): 1676-1691 (2022) - 2021
- [j7]Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies:
Learning to recognize actionable static code warnings (is intrinsically easy). Empir. Softw. Eng. 26(3): 56 (2021) - [j6]Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies:
Understanding static code warnings: An incremental AI approach. Expert Syst. Appl. 167: 114134 (2021) - [j5]Zhe Yu, Christopher Theisen, Laurie A. Williams, Tim Menzies:
Improving Vulnerability Inspection Efficiency Using Active Learning. IEEE Trans. Software Eng. 47(11): 2401-2420 (2021) - 2020
- [j4]Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. Empir. Softw. Eng. 25(3): 2099-2136 (2020) - [j3]Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel:
Finding Faster Configurations Using FLASH. IEEE Trans. Software Eng. 46(7): 794-811 (2020) - [c6]Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies:
Fairway: a way to build fair ML software. ESEC/SIGSOFT FSE 2020: 654-665 - [i15]Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies:
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach. CoRR abs/2002.11049 (2020) - [i14]Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies:
How to Recognize Actionable Static Code Warnings (Using Linear SVMs). CoRR abs/2006.00444 (2020)
2010 – 2019
- 2019
- [j2]Zhe Yu, Tim Menzies:
FAST2: An intelligent assistant for finding relevant papers. Expert Syst. Appl. 120: 57-71 (2019) - [c5]Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian:
TERMINATOR: better automated UI test case prioritization. ESEC/SIGSOFT FSE 2019: 883-894 - [i13]Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian:
TERMINATOR: Better Automated UI Test Case Prioritization. CoRR abs/1905.07019 (2019) - [i12]Fahmid M. Fahid, Zhe Yu, Tim Menzies:
Better Technical Debt Detection via SURVEYing. CoRR abs/1905.08297 (2019) - [i11]Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies:
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review. CoRR abs/1909.07249 (2019) - [i10]Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies:
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning). CoRR abs/1911.01387 (2019) - 2018
- [j1]Zhe Yu, Nicholas A. Kraft, Tim Menzies:
Finding better active learners for faster literature reviews. Empir. Softw. Eng. 23(6): 3161-3186 (2018) - [c4]Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Data-driven search-based software engineering. MSR 2018: 341-352 - [c3]Zhe Yu, Tim Menzies:
Total recall, language processing, and software engineering. NL4SE@ESEC/SIGSOFT FSE 2018: 10-13 - [i9]Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel:
Finding Faster Configurations using FLASH. CoRR abs/1801.02175 (2018) - [i8]Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Data-Driven Search-based Software Engineering. CoRR abs/1801.10241 (2018) - [i7]Zhe Yu, Christopher Theisen, Hyunwoo Sohn, Laurie A. Williams, Tim Menzies:
Cost-aware Vulnerability Prediction: the HARMLESS Approach. CoRR abs/1803.06545 (2018) - [i6]Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang:
Crowdtesting : When is The Party Over? CoRR abs/1805.03218 (2018) - [i5]Zhe Yu, Tim Menzies:
Total Recall, Language Processing, and Software Engineering. CoRR abs/1809.00039 (2018) - [i4]Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers. CoRR abs/1812.01550 (2018) - 2017
- [c2]Zhe Yu, Tim Menzies:
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting. CLEF (Working Notes) 2017 - [i3]Vivek Nair, Zhe Yu, Tim Menzies:
FLASH: A Faster Optimizer for SBSE Tasks. CoRR abs/1705.05018 (2017) - [i2]Zhe Yu, Tim Menzies:
Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge? CoRR abs/1705.05420 (2017) - 2016
- [c1]Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf:
The "BigSE" project: lessons learned from validating industrial text mining. BIGDSE@ICSE 2016: 65-71 - [i1]Zhe Yu, Nicholas A. Kraft, Tim Menzies:
How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews. CoRR abs/1612.03224 (2016)
Coauthor Index
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