Следене
Feng Yu (余峰)
Feng Yu (余峰)
DP Technology
Потвърден имейл адрес: dp.tech
Заглавие
Позовавания
Позовавания
Година
Graph contrastive learning with adaptive augmentation
Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang
Proceedings of the web conference 2021, 2069-2080, 2021
11312021
Deep graph contrastive representation learning
Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang
arXiv preprint arXiv:2006.04131, 2020
9522020
A dynamic recurrent model for next basket recommendation
F Yu, Q Liu, S Wu, L Wang, T Tan
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
5812016
A Convolutional Approach for Misinformation Identification.
F Yu, Q Liu, S Wu, L Wang, T Tan
IJCAI, 3901-3907, 2017
4842017
TAGNN: Target attentive graph neural networks for session-based recommendation
F Yu, Y Zhu, Q Liu, S Wu, L Wang, T Tan
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
2692020
A convolutional click prediction model
Q Liu, F Yu, S Wu, L Wang
Proceedings of the 24th ACM international on conference on information and …, 2015
1612015
Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts
F Yu, Q Liu, S Wu, L Wang, T Tan
computers & security 83, 106-121, 2019
792019
Mining significant microblogs for misinformation identification: an attention-based approach
Q Liu, F Yu, S Wu, L Wang
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (5), 1-20, 2018
442018
Deep interaction machine: A simple but effective model for high-order feature interactions
F Yu, Z Liu, Q Liu, H Zhang, S Wu, L Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
362020
CAGNN: Cluster-aware graph neural networks for unsupervised graph representation learning
Y Zhu, Y Xu, F Yu, S Wu, L Wang
arXiv preprint arXiv:2009.01674, 2020
332020
Disentangled self-attentive neural networks for click-through rate prediction
Y Xu, Y Zhu, F Yu, Q Liu, S Wu
Proceedings of the 30th ACM international conference on information …, 2021
262021
Tfnet: Multi-semantic feature interaction for ctr prediction
S Wu, F Yu, X Yu, Q Liu, L Wang, T Tan, J Shao, F Huang
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
232020
Disentangled item representation for recommender systems
Z Cui, F Yu, S Wu, Q Liu, L Wang
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-20, 2021
132021
ICE: Information credibility evaluation on social media via representation learning
Q Liu, S Wu, F Yu, L Wang, T Tan
arXiv preprint arXiv:1609.09226, 2016
92016
Robust Regularized Low-Rank Matrix Models for Regression and Classification
HH Huang, F Yu, X Fan, T Zhang
arXiv preprint arXiv:2205.07106, 2022
22022
Global well-posedness of advective Lotka–Volterra competition systems with nonlinear diffusion
Q Wang, J Yang, F Yu
Proceedings of the Royal Society of Edinburgh Section A: Mathematics 150 (5 …, 2020
22020
Boundedness in logistic Keller-Segel models with nonlinear diffusion and sensitivity functions
Q Wang, J Yang, F Yu
Discrete and Continuous Dynamical Systems 37 (9), 5021-5036, 2017
22017
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
G Zhou, Z Wang, F Yu, G Ke, Z Wei, Z Gao
arXiv preprint arXiv:2409.07462, 2024
2024
Enhancing Challenging Target Screening via Multimodal Protein-Ligand Contrastive Learning
Z Wang, Z Wang, M Yang, L Pang, F Nie, S Liu, Z Gao, G Zhao, X Ji, ...
bioRxiv, 2024.08. 22.609123, 2024
2024
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining
Y Zhu, Y Xu, F Yu, Q Liu, S Wu
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-21, 2023
2023
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