| Inferfix: End-to-end program repair with llms M Jin, S Shahriar, M Tufano, X Shi, S Lu, N Sundaresan, A Svyatkovskiy ESEC/SIGSOFT FSE 2023: 1646-1656, 2023 | 179 | 2023 |
| Learning to reduce false positives in analytic bug detectors A Kharkar, RZ Moghaddam, M Jin, X Liu, X Shi, C Clement, ... Proceedings of the 44th International Conference on Software Engineering …, 2022 | 46 | 2022 |
| Question and answer pair generation using machine learning P Bajaj, G Boland, A Gupta, MG Jin, EEN De Armas, J Shaver, ... US Patent 11,250,038, 2022 | 29 | 2022 |
| Learning hand-held object reconstruction from in-the-wild videos A Prakash, M Chang, M Jin, S Gupta arXiv e-prints, arXiv: 2305.03036, 2023 | 5 | 2023 |
| Language interoperability to automate code analysis SK Deng, MG Jin, S Lahiri, X Liu, X Shi, N Sundaresan US Patent 11,175,897, 2021 | 5 | 2021 |
| False positive vulnerability detection using neural transformers CB Clement, MG Jin, AG Kharkar, X Liu, X Shi, N Sundaresan, ... US Patent App. 17/687,529, 2023 | 2 | 2023 |
| Experimental Nazarov-Sodin constants, genus, and percolation on nodal domains for 2D and 3D random waves A Barnett, K Konrad, M Jin preparation, 2017 | 2 | 2017 |
| 3D Reconstruction of Objects in Hands Without Real World 3D Supervision A Prakash, M Chang, M Jin, R Tu, S Gupta European Conference on Computer Vision, 126-145, 2024 | 1 | 2024 |
| Retrieving Webpages Using Online Discussions K Ros, M Jin, J Levine, CX Zhai Proceedings of the 2023 ACM SIGIR International Conference on Theory of …, 2023 | 1 | 2023 |
| Language interoperability to automate code analysis SK Deng, MG Jin, S Lahiri, X Liu, X Shi, N Sundaresan US Patent 11,599,345, 2023 | | 2023 |
| Probabilistic Error Upper Bounds For Distributed Statistical Estimation M Jin | | 2020 |
| Optimizing Distributed Computing With Communication Complexity M JIN DUJS, 18, 2015 | | 2015 |
| Leveraging Deep Neural Networks as Kernels for Survival Analysis J Brofos, R Shu, F Zhang, M Jin, M Downs | | |
| Adaptive Neural Network Representations for Parallel and Scalable Bayesian Optimization J Brofos, R Shu, M Jin | | |