| CURE: Code-Aware Neural Machine Translation for Automatic Program Repair N Jiang, T Lutellier, L Tan 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 381 | 2021 |
| Impact of Code Language Models on Automated Program Repair N Jiang, K Liu, T Lutellier, L Tan 2023 IEEE/ACM 45rd International Conference on Software Engineering (ICSE), 2023 | 224 | 2023 |
| How effective are neural networks for fixing security vulnerabilities Y Wu, N Jiang, HV Pham, T Lutellier, J Davis, L Tan, P Babkin, S Shah Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 89 | 2023 |
| Quantifying the Spatial Homogeneity of Urban Road Networks via Graph Neural Networks J Xue, N Jiang, S Liang, Q Pang, T Yabe, SV Ukkusuri, J Ma Nature Machine Intelligence 4 (3), 246-257, 2022 | 66 | 2022 |
| KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair N Jiang, T Lutellier, Y Lou, L Tan, D Goldwasser, X Zhang 2023 IEEE/ACM 45rd International Conference on Software Engineering (ICSE), 2023 | 61* | 2023 |
| A Deep Dive into Large Language Models for Automated Bug Localization and Repair S Binta Hossain, N Jiang, Q Zhou, X Li, WH Chiang, Y Lyu, H Nguyen, ... Proceedings of the ACM on Software Engineering, 2024 | 40 | 2024 |
| How Effective are Large Language Models in Generating Software Specifications? D Xie, B Yoo, N Jiang, M Kim, L Tan, X Zhang, JS Lee The IEEE International Conference on Software Analysis, Evolution and …, 2024 | 27* | 2024 |
| Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning N Jiang, C Wang, K Liu, X Xu, L Tan, X Zhang, P Babkin The Thirteenth International Conference on Learning Representations, 2025 | 14* | 2025 |
| Leveraging Generative Models to Recover Variable Names from Stripped Binary X Xu, Z Zhang, Z Su, Z Huang, S Feng, Y Ye, N Jiang, D Xie, S Cheng, ... arXiv preprint arXiv:2306.02546, 2023 | 13* | 2023 |
| ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries D Xie, Z Zhang, N Jiang, X Xu, L Tan, X Zhang Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | 2 | 2024 |
| LeDex: Training LLMs to Better Self-Debug and Explain Code N Jiang, X Li, S Wang, Q Zhou, SB Hossain, B Ray, V Kumar, X Ma, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1* | 2024 |
| Can Language Models Replace Programmers? REPOCOD Says 'Not Yet' S Liang, Y Hu, N Jiang, L Tan arXiv preprint arXiv:2410.21647, 2024 | | 2024 |
| WAFFLE: Multi-Modal Model for Automated Front-End Development S Liang, N Jiang, S Qian, L Tan arXiv preprint arXiv:2410.18362, 2024 | | 2024 |
| Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code N Jiang, Q Li, L Tan, T Zhang arXiv preprint arXiv:2410.09997, 2024 | | 2024 |
| SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models Y Wu, Z Xiong, Y Hu, SS Iyengar, N Jiang, A Bera, L Tan, S Jagannathan arXiv preprint arXiv:2409.19471, 2024 | | 2024 |
| LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement N Jiang, S Liang, C Wang, J Wang, L Tan Thirty-Ninth AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
Lin TanMary J. Elmore New Frontiers Professor, Computer Science, Purdue University確認したメール アドレス: purdue.edu