| Self-collaboration code generation via chatgpt Y Dong, X Jiang, Z Jin, G Li ACM Transactions on Software Engineering and Methodology, 2023 | 228 | 2023 |
| Self-planning code generation with large language model X Jiang, Y Dong, L Wang, Q Shang, G Li ACM Transactions on Software Engineering and Methodology, 2023 | 138 | 2023 |
| SR2CNN: Zero-shot learning for signal recognition Y Dong, X Jiang, H Zhou, Y Lin, Q Shi IEEE Transactions on Signal Processing 69, 2316-2329, 2021 | 114 | 2021 |
| SSRCNN: A semi-supervised learning framework for signal recognition Y Dong, X Jiang, L Cheng, Q Shi IEEE Transactions on Cognitive Communications and Networking 7 (3), 780-789, 2021 | 57 | 2021 |
| Codescore: Evaluating code generation by learning code execution Y Dong, J Ding, X Jiang, G Li, Z Li, Z Jin ACM Transactions on Software Engineering and Methodology, 2023 | 45 | 2023 |
| Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models Y Dong, X Jiang, H Liu, Z Jin, G Li ACL 2024, 2024 | 43 | 2024 |
| Incorporating domain knowledge through task augmentation for front-end JavaScript code generation S Shen, X Zhu, Y Dong, Q Guo, Y Zhen, G Li FSE 2022, 1533-1543, 2022 | 28 | 2022 |
| EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories J Li, G Li, X Zhang, Y Dong, Z Jin NeurIPS 2024, 2024 | 24* | 2024 |
| Deveval: Evaluating code generation in practical software projects J Li, G Li, Y Zhao, Y Li, Z Jin, H Zhu, H Liu, K Liu, L Wang, Z Fang, L Wang, ... ACL 2024, 2024 | 24* | 2024 |
| CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation Y Dong, G Li, Z Jin ISSTA 2023, 188-198, 2023 | 24* | 2023 |
| Signal transformer: Complex-valued attention and meta-learning for signal recognition Y Dong, Y Peng, M Yang, S Lu, Q Shi ICASSP 2024, 2021 | 15 | 2021 |
| Joint channel assignment and power allocation for multi-UAVs communication systems L Zhou, Y Dong, M Hong, Q Shi 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 11 | 2020 |
| PACE: Improving Prompt with Actor-Critic Editing for Large Language Model Y Dong, K Luo, X Jiang, Z Jin, G Li ACL 2024, 2023 | 9 | 2023 |
| Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation Y Dong, G Li, X Jiang, Z Jin ECAI 2023, 2022 | 4* | 2022 |
| aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion S Jiang, J Li, H Zong, H Liu, H Zhu, S Hu, E Li, J Ding, Y Han, W Ning, ... arXiv preprint arXiv:2410.13187, 2024 | 3 | 2024 |
| FAN: Fourier Analysis Networks Y Dong, G Li, Y Tao, X Jiang, K Zhang, J Li, J Su, J Zhang, J Xu arXiv preprint arXiv:2410.02675, 2024 | 3 | 2024 |
| ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation X Jiang, Y Dong, Y Tao, H Liu, Z Jin, W Jiao, G Li ICSE 2025, 2024 | 2 | 2024 |
| SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation X Jiang, Y Dong, Z Jin, G Li arXiv preprint arXiv:2403.00046, 2024 | 2 | 2024 |
| Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning Y Zhao, Y Dong, G Li Proceedings of the 14th Asia-Pacific Symposium on Internetware, 238-248, 2023 | 2 | 2023 |
| SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention X Xu, L Lyu, Y Dong, Y Lu, W Wang, H Jin CIKM 2022, 2023 | 2 | 2023 |
Ge LiFull Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn