| Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning M Geng, S Wang, D Dong, H Wang, G Li, Z Jin, X Mao, X Liao Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | 108 | 2024 |
| deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search C Zeng, Y Yu, S Li, X Xia, Z Wang, M Geng, L Bai, W Dong, X Liao ACM Transactions on Software Engineering and Methodology 32 (2), 1-27, 2023 | 54 | 2023 |
| Learning to cooperate via an attention-based communication neural network in decentralized multi-robot exploration M Geng, K Xu, X Zhou, B Ding, H Wang, L Zhang Entropy 21 (3), 294, 2019 | 34 | 2019 |
| Unsupervised learning-based depth estimation-aided visual slam approach M Geng, S Shang, B Ding, H Wang, P Zhang Circuits, Systems, and Signal Processing 39, 543-570, 2020 | 29 | 2020 |
| Learning to cooperate in decentralized multi-robot exploration of dynamic environments M Geng, X Zhou, B Ding, H Wang, L Zhang Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 20 | 2018 |
| Natural language to code: How far are we? S Wang, M Geng, B Lin, Z Sun, M Wen, Y Liu, L Li, TF Bissyandé, X Mao Proceedings of the 31st acm joint european software engineering conference …, 2023 | 19 | 2023 |
| Learning data augmentation policies using augmented random search M Geng, K Xu, B Ding, H Wang, L Zhang arXiv preprint arXiv:1811.04768, 2018 | 18 | 2018 |
| Treatment effect estimation with adjustment feature selection H Wang, K Kuang, H Chi, L Yang, M Geng, W Huang, W Yang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 15 | 2023 |
| Interpretation-based code summarization M Geng, S Wang, D Dong, H Wang, S Cao, K Zhang, Z Jin 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023 | 13 | 2023 |
| Attention-based fault-tolerant approach for multi-agent reinforcement learning systems S Gu, M Geng, L Lan Entropy 23 (9), 1133, 2021 | 12 | 2021 |
| Pairwise similarity regularization for adversarial domain adaptation H Wang, W Yang, J Wang, R Wang, L Lan, M Geng Proceedings of the 28th ACM International Conference on Multimedia, 2409-2418, 2020 | 10 | 2020 |
| An empirical study on using large language models for multi-intent comment generation M Geng, S Wang, D Dong, H Wang, G Li, Z Jin, X Mao, X Liao arXiv preprint arXiv:2304.11384, 2023 | 9 | 2023 |
| Fine-grained code-comment semantic interaction analysis M Geng, S Wang, D Dong, S Gu, F Peng, W Ruan, X Liao Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 9 | 2022 |
| Towards deep learning on resource-constrained robots: A crowdsourcing approach with model partition Z Huai, B Ding, H Wang, M Geng, L Zhang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 9 | 2019 |
| Sensor fusion-based cooperative trail following for autonomous multi-robot system M Geng, S Liu, Z Wu Sensors 19 (4), 823, 2019 | 6 | 2019 |
| Deep learning-based cooperative trail following for multi-robot system M Geng, Y Li, B Ding, H Wang 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 6 | 2018 |
| How to cherry pick the bug report for better summarization? H Liu, Y Yu, S Li, M Geng, X Mao, X Liao Empirical Software Engineering 26, 1-36, 2021 | 4 | 2021 |
| Fusing code searchers S Wang, M Geng, B Lin, Z Sun, M Wen, Y Liu, L Li, TF Bissyandé, X Mao IEEE Transactions on Software Engineering, 2024 | 3 | 2024 |
| Domain specified optimization for deployment authorization H Wang, H Chi, W Yang, Z Lin, M Geng, L Lan, J Zhang, D Tao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Deep Learning-based Cooperative Trail Following M Geng, Y Li, B Ding, H Wang 2018 International Joint Conference on Neural Networks (IJCNN 2018), 1-8, 2018 | 2 | 2018 |