| Finding global homophily in graph neural networks when meeting heterophily X Li, R Zhu, Y Cheng, C Shan, S Luo, D Li, W Qian International Conference on Machine Learning, 13242-13256, 2022 | 118 | 2022 |
| A neural network architecture for program understanding inspired by human behaviors R Zhu, L Yuan, X Li, M Gao, W Cai ACL 2022, 2022 | 10 | 2022 |
| CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure N Chen, Q Sun, R Zhu, X Li, X Lu, M Gao EMNLP Findings 2022, 2022 | 8 | 2022 |
| Programming knowledge tracing: A comprehensive dataset and a new model R Zhu, D Zhang, C Han, M Gao, X Lu, W Qian, A Zhou ICDMW 2022, 2021 | 8 | 2021 |
| Meta-learning triplet network with adaptive margins for few-shot named entity recognition C Han, R Zhu, J Kuang, FJ Chen, X Li, M Gao, X Cao, W Wu arXiv preprint arXiv:2302.07739, 2023 | 7 | 2023 |
| Make prompt-based black-box tuning colorful: Boosting model generalization from three orthogonal perspectives Q Sun, C Han, N Chen, R Zhu, J Gong, X Li, M Gao arXiv preprint arXiv:2305.08088, 2023 | 6 | 2023 |
| On disambiguating authors: Collaboration network reconstruction in a bottom-up manner N Li, R Zhu, X Zhou, X He, W Cai, M Gao, A Zhou 2021 IEEE 37th International Conference on Data Engineering (ICDE), 888-899, 2021 | 5 | 2021 |
| When gradient descent meets derivative-free optimization: A match made in black-box scenario C Han, L Cui, R Zhu, J Wang, N Chen, Q Sun, X Li, M Gao arXiv preprint arXiv:2305.10013, 2023 | 3 | 2023 |
| Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective R Zhu, H Liu, R Wu, M Lin, T Lv, C Fan, H Wang arXiv preprint arXiv:2307.16889, 2023 | 1 | 2023 |
| Structure-aware Fine-tuning for Code Pre-trained Models J Wu, R Zhu, N Chen, Q Sun, X Li, M Gao arXiv preprint arXiv:2404.07471, 2024 | | 2024 |
| A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond Q Sun, Z Chen, F Xu, K Cheng, C Ma, Z Yin, J Wang, C Han, R Zhu, ... arXiv preprint arXiv:2403.14734, 2024 | | 2024 |
| A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment F Wang, H Liu, H Bi, X Shen, R Zhu, R Wu, M Lin, T Lv, C Fan, Q Liu, ... arXiv preprint arXiv:2403.08826, 2024 | | 2024 |
| Personalized Programming Guidance Based on Deep Programming Learning Style Capturing Y Liu, R Zhu, M Gao International Conference on Computer Science and Education, 214-231, 2023 | | 2023 |
| Towards Long-term Annotators: A Supervised Label Aggregation Baseline H Liu, F Wang, M Lin, R Wu, R Zhu, S Zhao, K Wang, T Lv, C Fan arXiv preprint arXiv:2311.14709, 2023 | | 2023 |
| Exchanging-based Multimodal Fusion with Transformer R Zhu, C Han, Y Qian, Q Sun, X Li, M Gao, X Cao, Y Xian arXiv preprint arXiv:2309.02190, 2023 | | 2023 |
