| Exploring software naturalness through neural language models L Buratti, S Pujar, M Bornea, S McCarley, Y Zheng, G Rossiello, A Morari, ... arXiv preprint arXiv:2006.12641, 2020 | 82 | 2020 |
| Learning to map source code to software vulnerability using code-as-a-graph S Suneja, Y Zheng, Y Zhuang, J Laredo, A Morari arXiv preprint arXiv:2006.08614, 2020 | 31 | 2020 |
| Probing model signal-awareness via prediction-preserving input minimization S Suneja, Y Zheng, Y Zhuang, JA Laredo, A Morari Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 25 | 2021 |
| Agreeing to disagree: Choosing among eight topic-modeling methods Q Fu, Y Zhuang, J Gu, Y Zhu, X Guo Big Data Research 23, 100173, 2021 | 18 | 2021 |
| Software vulnerability detection via deep learning over disaggregated code graph representation Y Zhuang, S Suneja, V Thost, G Domeniconi, A Morari, J Laredo arXiv preprint arXiv:2109.03341, 2021 | 17 | 2021 |
| Exploring software naturalness through neural language models. CoRR abs/2006.12641 (2020) L Buratti, S Pujar, MA Bornea, JS McCarley, Y Zheng, G Rossiello, ... arXiv preprint arXiv:2006.12641, 2020 | 9 | 2020 |
| Towards reliable ai for source code understanding S Suneja, Y Zheng, Y Zhuang, JA Laredo, A Morari Proceedings of the ACM Symposium on Cloud Computing, 403-411, 2021 | 8 | 2021 |
| Search for k: Assessing five topic-modeling approaches to 120,000 Canadian articles Q Fu, Y Zhuang, J Gu, Y Zhu, H Qin, X Guo 2019 IEEE International Conference on Big Data (Big Data), 3640-3647, 2019 | 4 | 2019 |
| WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability Y Zhuang, Z Wang, F Tao, J Shang arXiv preprint arXiv:2210.01989, 2023 | 3* | 2023 |
| Data-driven and SE-assisted AI model signal-awareness enhancement and introspection S Suneja, Y Zhuang, Y Zheng, J Laredo, A Morari arXiv preprint arXiv:2111.05827, 2021 | 2 | 2021 |
| Incorporating Signal Awareness in Source Code Modeling: an Application to Vulnerability Detection S Suneja, Y Zhuang, Y Zheng, J Laredo, A Morari, U Khurana ACM Transactions on Software Engineering and Methodology 32 (6), 1-40, 2023 | 1 | 2023 |
| Sleeping lion or sick man? Machine learning approaches to deciphering heterogeneous images of Chinese in North America Q Fu, Y Zhuang, Y Zhu, X Guo Annals of the American Association of Geographers 112 (7), 2045-2063, 2022 | 1 | 2022 |
| Training data augmentation via program simplification S Suneja, Y Zhuang, Y Zheng, A Morari, JA Laredo US Patent 11,947,940, 2024 | | 2024 |
| Learning a Decision Tree Algorithm with Transformers Y Zhuang, L Liu, C Singh, J Shang, J Gao arXiv preprint arXiv:2402.03774, 2024 | | 2024 |
| Code Vulnerability Detection via Signal-Aware Learning S Suneja, Y Zhuang, Y Zheng, J Laredo, A Morari, U Khurana 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 506-523, 2023 | | 2023 |
| Artificial intelligence model learning introspection S Suneja, Y Zhuang, Y Zheng, A Morari, JA Laredo US Patent App. 17/506,753, 2023 | | 2023 |
| Complexity based artificial intelligence model training S Suneja, Y Zhuang, Y Zheng, A Morari, JA Laredo US Patent App. 17/491,275, 2023 | | 2023 |
| Probing Model Signal Awareness Y Zheng, S Suneja, Y Zhuang, A Morari, JA Laredo US Patent App. 17/315,701, 2022 | | 2022 |
| Data-Driven AI Model Signal-Awareness Enhancement and Introspection S Suneja, Y Zhuang, Y Zheng, J Laredo, A Morari arXiv preprint arXiv:2111.05827, 2021 | | 2021 |
Alessandro MorariNVIDIA Corp.Email verificata su nvidia.com
