Zhe Yu - RankMe

37 papers A 1Journal 31Unranked 5

Year	Rank	Type	Title / 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