The "BigSE" project: lessons learned from validating industrial text mining. - Rahul Krishna; Zhe Yu 002; Amritanshu Agrawal; Manuel Dominguez; David Wolf (BIGDSE@ICSE, 2016)

How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews. - Zhe Yu 002; Nicholas A. Kraft; Tim Menzies (CoRR, 2016)

Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting. - Zhe Yu 002; Tim Menzies (CLEF (Working Notes), 2017)

FLASH: A Faster Optimizer for SBSE Tasks. - Vivek Nair; Zhe Yu 002; Tim Menzies (CoRR, 2017)

Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge? - Zhe Yu 002; Tim Menzies (CoRR, 2017)

Data-driven search-based software engineering. - Vivek Nair; Amritanshu Agrawal; Jianfeng Chen; Wei Fu 002; George Mathew; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (MSR, 2018)

Total recall, language processing, and software engineering. - Zhe Yu 002; Tim Menzies (NL4SE@ESEC/SIGSOFT FSE, 2018)

Cost-aware Vulnerability Prediction: the HARMLESS Approach. - Zhe Yu 002; Christopher Theisen; Hyunwoo Sohn; Laurie A. Williams; Tim Menzies (CoRR, 2018)

Crowdtesting : When is The Party Over? - Junjie Wang 001; Ye Yang; Zhe Yu 002; Tim Menzies; Qing Wang 001 (CoRR, 2018)

Finding better active learners for faster literature reviews. - Zhe Yu 002; Nicholas A. Kraft; Tim Menzies (Empir. Softw. Eng., 2018)

TERMINATOR: better automated UI test case prioritization. - Zhe Yu 002; Fahmid M. Fahid; Tim Menzies; Gregg Rothermel; Kyle Patrick; Snehit Cherian (ESEC/SIGSOFT FSE, 2019)

Better Technical Debt Detection via SURVEYing. - Fahmid M. Fahid; Zhe Yu 002; Tim Menzies (CoRR, 2019)

Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review. - Zhe Yu 002; Jeffrey C. Carver; Gregg Rothermel; Tim Menzies (CoRR, 2019)

An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning). - Xueqi Yang; Zhe Yu 002; Junjie Wang 001; Tim Menzies (CoRR, 2019)

FAST2: An intelligent assistant for finding relevant papers. - Zhe Yu 002; Tim Menzies (Expert Syst. Appl., 2019)

Fairway: a way to build fair ML software. - Joymallya Chakraborty; Suvodeep Majumder; Zhe Yu 002; Tim Menzies (ESEC/SIGSOFT FSE, 2020)

How to Recognize Actionable Static Code Warnings (Using Linear SVMs). - Xueqi Yang; Jianfeng Chen; Rahul Yedida; Zhe Yu 002; Tim Menzies (CoRR, 2020)

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. - Amritanshu Agrawal; Tim Menzies; Leandro L. Minku; Markus Wagner 007; Zhe Yu 002 (Empir. Softw. Eng., 2020)

Finding Faster Configurations Using FLASH. - Vivek Nair; Zhe Yu 002; Tim Menzies; Norbert Siegmund; Sven Apel (IEEE Trans. Software Eng., 2020)

Learning to recognize actionable static code warnings (is intrinsically easy). - Xueqi Yang; Jianfeng Chen; Rahul Yedida; Zhe Yu 002; Tim Menzies (Empir. Softw. Eng., 2021)

Understanding static code warnings: An incremental AI approach. - Xueqi Yang; Zhe Yu 002; Junjie Wang 001; Tim Menzies (Expert Syst. Appl., 2021)

Improving Vulnerability Inspection Efficiency Using Active Learning. - Zhe Yu 002; Christopher Theisen; Laurie A. Williams; Tim Menzies (IEEE Trans. Software Eng., 2021)

Assessing expert system-assisted literature reviews with a case study. - Zhe Yu 002; Jeffrey C. Carver; Gregg Rothermel; Tim Menzies (Expert Syst. Appl., 2022)

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). - Huy Tu; Zhe Yu 002; Tim Menzies (IEEE Trans. Software Eng., 2022)

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. - Zhe Yu 002; Fahmid Morshed Fahid; Huy Tu; Tim Menzies (IEEE Trans. Software Eng., 2022)

FairBalance: How to Achieve Equalized Odds With Data Pre-Processing. - Zhe Yu 002; Joymallya Chakraborty; Tim Menzies (IEEE Trans. Software Eng., 2024)

Approaching code search for python as a translation retrieval problem with dual encoders. - Monoshiz Mahbub Khan; Zhe Yu 002 (Empir. Softw. Eng., 2025)