| Quantifying and mitigating turnover-induced knowledge loss: case studies of Chrome and a project at Avaya PC Rigby, YC Zhu, SM Donadelli, A Mockus Proceedings of the 38th International Conference on Software Engineering …, 2016 | 101 | 2016 |
| Test re-prioritization in continuous testing environments Y Zhu, E Shihab, PC Rigby 2018 IEEE International Conference on Software Maintenance and Evolution …, 2018 | 54 | 2018 |
| DNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up KJ O’Donnell, L Chen, JL MacIsaac, LM McEwen, T Nguyen, K Beckmann, ... Translational psychiatry 8 (1), 15, 2018 | 49 | 2018 |
| PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores LM Chen, N Yao, E Garg, Y Zhu, TTT Nguyen, I Pokhvisneva, ... BMC bioinformatics 19, 1-9, 2018 | 34 | 2018 |
| Encoder-decoder architecture for supervised dynamic graph learning: A survey Y Zhu, F Lyu, C Hu, X Chen, X Liu arXiv preprint arXiv:2203.10480, 2022 | 26* | 2022 |
| Quantifying and mitigating turnover-induced knowledge loss: case studies of Chrome and a project at Avaya. In 2016 IEEE/ACM 38th International Conference on Software … PC Rigby, YC Zhu, SM Donadelli, A Mockus IEEE, Austin, 1006-1016, 2016 | 12 | 2016 |
| Organizational volatility and post-release defects: A replication case study using data from Google Chrome SM Donadelli, YC Zhu, PC Rigby 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 391-395, 2015 | 8 | 2015 |
| Automated User Story Generation with Test Case Specification Using Large Language Model T Rahman, Y Zhu arXiv preprint arXiv:2404.01558, 2024 | 1 | 2024 |
Peter C RigbyAssociate Professor Concordia University and Software Engineering Researcher at MetaVerified email at concordia.ca
