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Lun Du (杜 仑)
Lun Du (杜 仑)
Ant Research
Verified email at antgroup.com
Title
Cited by
Cited by
Year
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
2602018
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
1342023
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
1172022
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
902022
DANE: Domain Adaptive Network Embedding
Y Zhang, G Song, L Du, S Yang, Y Jin
IJCAI, 4362-4368, 2019
812019
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
752021
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
662021
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
602018
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
582022
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
54*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
542021
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
412022
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
392024
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
382023
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
382021
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
382019
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
372023
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
362020
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
352023
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
Y Wang, E Shi, L Du, X Yang, Y Hu, S Han, H Zhang, D Zhang
arXiv preprint arXiv:2107.01933, 2021
322021
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Articles 1–20