Deep learning based vulnerability detection: Are we there yet? S Chakraborty, R Krishna, Y Ding, B Ray IEEE Transactions on Software Engineering 48 (9), 3280-3296, 2021 | 419 | 2021 |
Codit: Code editing with tree-based neural models S Chakraborty, Y Ding, M Allamanis, B Ray IEEE Transactions on Software Engineering 48 (4), 1385-1399, 2020 | 167* | 2020 |
NatGen: Generative pre-training by" Naturalizing" source code S Chakraborty, T Ahmed, Y Ding, P Devanbu, B Ray ESEC/FSE 2022, 2022 | 89 | 2022 |
Patching as translation: the data and the metaphor Y Ding, B Ray, P Devanbu, VJ Hellendoorn ASE 2020, 2020 | 64* | 2020 |
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts Y Ding, L Buratti, S Pujar, A Morari, B Ray, S Chakraborty ACL 2022 (Volume 1: Long Papers), 2022 | 54* | 2022 |
Cocomic: Code completion by jointly modeling in-file and cross-file context Y Ding, Z Wang, WU Ahmad, MK Ramanathan, R Nallapati, P Bhatia, ... COLING 2024, 2022 | 43 | 2022 |
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements Y Ding, S Suneja, Y Zheng, J Laredo, A Morari, G Kaiser, B Ray 2022 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 34 | 2021 |
Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion Y Ding, Z Wang, W Ahmad, H Ding, M Tan, N Jain, MK Ramanathan, ... Advances in Neural Information Processing Systems 36, 2024 | 30 | 2024 |
TRACED: Execution-aware Pre-training for Source Code Y Ding, B Steenhoek, K Pei, G Kaiser, W Le, B Ray ICSE 2024, 2023 | 15 | 2023 |
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain MJ Min, Y Ding, L Buratti, S Pujar, G Kaiser, S Jana, B Ray ICLR 2024, 2023 | 11* | 2023 |
CYCLE: Learning to Self-Refine the Code Generation Y Ding, MJ Min, G Kaiser, B Ray OOPSLA 2024, 2024 | 5 | 2024 |
CONCORD: Clone-aware Contrastive Learning for Source Code Y Ding, S Chakraborty, L Buratti, S Pujar, A Morari, G Kaiser, B Ray ISSTA 2023, 2023 | 4 | 2023 |
Vulnerability detection with code language models: How far are we? Y Ding, Y Fu, O Ibrahim, C Sitawarin, X Chen, B Alomair, D Wagner, ... arXiv preprint arXiv:2403.18624, 2024 | 3 | 2024 |
Automated Code Editing with Search-Generate-Modify C Liu, P Cetin, Y Patodia, S Chakraborty, Y Ding, B Ray IEEE Transactions on Software Engineering, 2023 | 3 | 2023 |
TraceFixer: Execution Trace-Driven Program Repair I Bouzenia, Y Ding, K Pei, B Ray, M Pradel arXiv preprint arXiv:2304.12743, 2023 | 3 | 2023 |
SemCoder: Training Code Language Models with Comprehensive Semantics Y Ding, J Peng, MJ Min, G Kaiser, J Yang, B Ray arXiv preprint arXiv:2406.01006, 2024 | | 2024 |