Stebėti
Lun Du (杜 仑)
Lun Du (杜 仑)
Senior Researcher, Microsoft Research
Patvirtintas el. paštas microsoft.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
2532018
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
892022
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
822023
DANE: Domain Adaptive Network Embedding
Y Zhang, G Song, L Du, S Yang, Y Jin
IJCAI, 4362-4368, 2019
742019
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
702022
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
652021
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
592018
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
582021
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
412021
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
352022
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
352020
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
342019
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
312021
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
302022
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
292021
Make heterophily graphs better fit gnn: A graph rewiring approach
W Bi, L Du, Q Fu, Y Wang, S Han, D Zhang
arXiv preprint arXiv:2209.08264, 2022
282022
Domain Adaptive Classification on Heterogeneous Information Networks
S Yang, G Song, Y Jin, L Du
IJCAI, 1410-1416, 2020
262020
Source Free Graph Unsupervised Domain Adaptation
H Mao, L Du, Y Zheng, Q Fu, Z Li, X Chen, S Han, D Zhang
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
242024
Traffic events oriented dynamic traffic assignment model for expressway network: a network flow approach
L Du, G Song, Y Wang, J Huang, M Ruan, Z Yu
IEEE Intelligent Transportation Systems Magazine 10 (1), 107-120, 2018
242018
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
232023
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