| Dynamic network embedding: An extended approach for skip-gram based network embedding. L Du, Y Wang, G Song, Z Lu, J Wang IJCAI 2018, 2086-2092, 2018 | 262 | 2018 |
| Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking J Guo, L Du, H Liu, M Zhou, X He, S Han arXiv preprint arXiv:2305.15066, 2023 | 155 | 2023 |
| GBK-GNN: Gated bi-kernel graph neural networks for modeling both homophily and heterophily L Du, X Shi, Q Fu, X Ma, H Liu, S Han, D Zhang Proceedings of the ACM Web Conference 2022, 1550-1558, 2022 | 126 | 2022 |
| On the evaluation of neural code summarization E Shi, Y Wang, L Du, J Chen, S Han, H Zhang, D Zhang, H Sun Proceedings of the 44th international conference on software engineering …, 2022 | 96 | 2022 |
| DANE: Domain Adaptive Network Embedding Y Zhang, G Song, L Du, S Yang, Y Jin IJCAI, 4362-4368, 2019 | 84 | 2019 |
| TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data L Du, F Gao, X Chen, R Jia, J Wang, J Zhang, S Han, D Zhang ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021 | 79 | 2021 |
| CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 69 | 2021 |
| TrajGAT: A graph-based long-term dependency modeling approach for trajectory similarity computation D Yao, H Hu, L Du, G Cong, S Han, J Bi Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 63 | 2022 |
| Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. L Du, Z Lu, Y Wang, G Song, Y Wang, W Chen IJCAI, 2079-2085, 2018 | 61 | 2018 |
| Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy J Zhang, Q Fu, X Chen, L Du, Z Li, G Wang, S Han, D Zhang The Eleventh International Conference on Learning Representations (ICLR), 2023 | 59* | 2023 |
| On the Evaluation of Commit Message Generation Models: An Experimental Study W Tao, Y Wang, E Shi, L Du, H Zhang, D Zhang, W Zhang IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021 | 56 | 2021 |
| Towards efficient fine-tuning of pre-trained code models: An experimental study and beyond E Shi, Y Wang, H Zhang, L Du, S Han, D Zhang, H Sun Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 43 | 2023 |
| Race: Retrieval-augmented commit message generation E Shi, Y Wang, W Tao, L Du, H Zhang, S Han, D Zhang, H Sun arXiv preprint arXiv:2203.02700, 2022 | 43 | 2022 |
| Make heterophilic graphs better fit gnn: A graph rewiring approach W Bi, L Du, Q Fu, Y Wang, S Han, D Zhang IEEE Transactions on Knowledge and Data Engineering, 2024 | 42 | 2024 |
| Robust Mid-Pass Filtering Graph Convolutional Networks J Huang, L Du, X Chen, Q Fu, S Han, D Zhang Proceedings of the ACM Web Conference 2023 (WWW'23), 2023 | 40 | 2023 |
| Homophily-oriented Heterogeneous Graph Rewiring J Guo, L Du, W Bi, Q Fu, X Ma, X Chen, S Han, D Zhang, Y Zhang Proceedings of the ACM Web Conference 2023 (WWW'23), 2023 | 39 | 2023 |
| Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search L Du, X Shi, Y Wang, E Shi, S Han, D Zhang ACM International Conference on Information & Knowledge Management (CIKM …, 2021 | 39 | 2021 |
| Hierarchical community structure preserving network embedding: A subspace approach L Du, Q Long, Y Wang, G Song, Y Jin, W Lin ACM International Conference on Information and Knowledge Management, 409-418, 2019 | 39 | 2019 |
| Cocosoda: Effective contrastive learning for code search E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 36 | 2023 |
| TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting X Chen, Y Zhang, L Du, Z Fang, Y Ren, K Bian, K Xie IEEE International Conference on Data Mining (ICDM), 2020 | 36 | 2020 |
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