Sledovat
Yong Liu
Yong Liu
Huawei, NTU, I2R
E-mailová adresa ověřena na: huawei.com - Domovská stránka
Název
Citace
Citace
Rok
Exploiting Geographical Neighborhood Characteristics for Location Recommendation
Y Liu, W Wei, A Sun, C Miao
Proceedings of the 23rd ACM International Conference Information and …, 2014
4172014
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
Y Liu, M Wu, C Miao, P Zhao, XL Li
PLOS Computational Biology, 2016
3842016
Personalized point-of-interest recommendation by mining users' preference transition
X Liu, Y Liu, K Aberer, C Miao
Proceedings of the 22nd ACM International Conference on Information …, 2013
3472013
Your neighbors affect your ratings: on geographical neighborhood influence to rating prediction
L Hu, A Sun, Y Liu
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
2162014
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization
P Han, P Yang, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis
Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and …, 2019
1652019
Bootstrap Latent Representations for Multi-modal Recommendation
X Zhou, H Zhou, Y Liu, Z Zeng, C Miao, P Wang, Y You, F Jiang
Proceedings of the ACM Web Conference 2023, 2023
1442023
Towards Persona-Based Empathetic Conversational Models
P Zhong, C Zhang, H Wang, Y Liu, C Miao
The 2020 Conference on Empirical Methods in Natural Language Processing, 2020
1382020
Exploring the Context of Locations for Personalized Location Recommendations
X Liu, Y Liu, XL Li
Proceedings of the 25th International Joint Conference on Artificial …, 2016
1382016
Graph-flashback network for next location recommendation
X Rao, L Chen, Y Liu, S Shang, B Yao, P Han
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
1232022
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
Y Liu, S Yang, Y Xu, C Miao, M Wu, J Zhang
IEEE Transactions on Knowledge and Data Engineering, 2021
1062021
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation
Q Wu, Y Liu, C Miao, B Zhao, Y Zhao, L Guan
Proceedings of 28th International Joint Conference on Artificial Intelligence, 2019
872019
Pre-training Graph Transformer with Multimodal Side Information for Recommendation
Y Liu, S Yang, C Lei, G Wang, H Tang, J Zhang, A Sun, C Miao
The 29th ACM International Conference on Multimedia, 2021
862021
Pre-training Graph Neural Networks for Link Prediction in Biomedical Networks
Y Long, M Wu, Y Liu, Y Fang, J Chen, CK Kwoh, JL Luo, L Xiaoli
Bioinformatics, 2022
852022
Contextualized Point-of-Interest Recommendation
P Han, Z Li, Y Liu, P Zhao, J Li, H Wang, S Shang
Proceedings of the 29th International Joint Conference on Artificial …, 2020
822020
Diversified Interactive Recommendation with Implicit Feedback
Y Liu, Y Xiao, Q Wu, C Miao, J Zhang, B Zhao, H Tang
Proceedings of 34th AAAI Conference on Artificial Intelligence, 2020
792020
Adaptive Course Recommendation in MOOCs
Y Lin, S Feng, W Zeng, F Lin, Y Liu, P Wu
Knowledge-Based Systems, 2021
782021
Spectral-Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional Networks
L Zou, X Zhu, C Wu, Y Liu, L Qu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
772020
SELFCF: A Simple Framework for Self-supervised Collaborative Filtering
X Zhou, A Sun, Y Liu, J Zhang, C Miao
ACM Transactions on Recommender Systems, 2023
762023
How Can Recommender Systems Benefit from Large Language Models: A Survey
J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ...
ACM Transactions on Information Systems, 2024
692024
A Survey on Reinforcement Learning for Recommender Systems
Y Lin, Y Liu, F Lin, P Wu, W Zeng, C Miao
IEEE Transactions on Neural Networks and Learning Systems, 2023
682023
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Články 1–20