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Le Yu
Le Yu
Alibaba Qwen Team, Beihang University
Подтвержден адрес электронной почты в домене alibaba-inc.com - Главная страница
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Год
Qwen2. 5 technical report
A Yang, B Yang, B Zhang, B Hui, B Zheng, B Yu, C Li, D Liu, F Huang, ...
arXiv preprint arXiv:2412.15115, 2024
8812024
Deep spatio-temporal graph convolutional network for traffic accident prediction
L Yu, B Du, X Hu, L Sun, L Han, W Lv
Neurocomputing 423, 135-147, 2021
2002021
Language models are super mario: Absorbing abilities from homologous models as a free lunch
L Yu, B Yu, H Yu, F Huang, Y Li
International Conference on Machine Learning, 2024
1722024
Adaptive spatio-temporal graph neural network for traffic forecasting
X Ta, Z Liu, X Hu, L Yu, L Sun, B Du
Knowledge-based systems 242, 108199, 2022
1132022
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
L Yu, L Sun, B Du, W Lv
Advances in Neural Information Processing Systems, 2023
972023
Heterogeneous graph representation learning with relation awareness
L Yu, L Sun, B Du, C Liu, W Lv, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5935-5947, 2022
742022
Predicting temporal sets with deep neural networks
L Yu, L Sun, B Du, C Liu, H Xiong, W Lv
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
532020
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility
B Du, Z Zhao, J Zhao, L Yu, L Sun, W Lv
International Journal of Data Science and Analytics 12 (4), 369-382, 2021
222021
Hybrid micro/macro level convolution for heterogeneous graph learning
L Yu, L Sun, B Du, C Liu, W Lv, H Xiong
arXiv preprint arXiv:2012.14722, 2020
182020
Label-enhanced graph neural network for semi-supervised node classification
L Yu, L Sun, B Du, T Zhu, W Lv
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11529-11540, 2022
172022
Element-guided temporal graph representation learning for temporal sets prediction
L Yu, G Wu, L Sun, B Du, W Lv
Proceedings of the ACM Web Conference 2022, 1902-1913, 2022
172022
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
T Zou, L Yu, Y Huang, L Sun, B Du
Findings of Empirical Methods in Natural Language Processing, 2023
152023
Continuous-time user preference modelling for temporal sets prediction
L Yu, Z Liu, L Sun, B Du, C Liu, W Lv
IEEE Transactions on Knowledge and Data Engineering, 2023
12*2023
Continuous-Time Graph Learning for Cascade Popularity Prediction
X Lu, S Ji, L Yu, L Sun, B Du, T Zhu
International Joint Conferences on Artificial Intelligence, 2023
102023
Predicting temporal sets with simplified fully connected networks
L Yu, Z Liu, T Zhu, L Sun, B Du, W Lv
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4835-4844, 2023
82023
Event-based dynamic graph representation learning for patent application trend prediction
T Zou, L Yu, L Sun, B Du, D Wang, F Zhuang
IEEE Transactions on Knowledge and Data Engineering, 2023
72023
Deep heterogeneous network for temporal set prediction
N Shi, L Yu, L Sun, L Wang, C Lin, R Zhang
Knowledge-Based Systems 223, 107039, 2021
72021
Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis
L Yu, B Du, X Hu, L Sun, W Lv, R Huang
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019
72019
Extend model merging from fine-tuned to pre-trained large language models via weight disentanglement
L Yu, B Yu, H Yu, F Huang, Y Li
arXiv preprint arXiv:2408.03092, 2024
52024
An Empirical Evaluation of Temporal Graph Benchmark
L Yu
arXiv preprint arXiv:2307.12510, 2023
22023
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