Follow
Junliang Yu
Title
Cited by
Cited by
Year
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
X Xia, H Yin, J Yu, Q Wang, L Cui, X Zhang
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
922021
Adaptive implicit friends identification over heterogeneous network for social recommendation
J Yu, M Gao, J Li, H Yin, H Liu
ACM International Conference on Information and Knowledge Management (CIKM), 2018
742018
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang
Proceedings of the Web Conference (WWW), 413-424, 2021
722021
Generating reliable friends via adversarial training to improve social recommendation
J Yu, M Gao, H Yin, J Li, C Gao, Q Wang
IEEE International Conference on Data Mining (ICDM), 768-777, 2019
512019
Enhance social recommendation with adversarial graph convolutional networks
J Yu, H Yin, J Li, M Gao, Z Huang, L Cui
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
472020
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective
M Gao, J Zhang, J Yu, J Li, J Wen, Q Xiong
Information Sciences, 1166-1185, 2021
342021
A social recommender based on factorization and distance metric learning
J Yu, M Gao, W Rong, Y Song, Q Xiong
IEEE Access 5, 21557-21566, 2017
342017
Socially-Aware Self-Supervised Tri-Training for Recommendation
J Yu, H Yin, M Gao, X Xia, X Zhang, NQV Hung
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2021
272021
Hybrid attacks on model-based social recommender systems
J Yu, M Gao, W Rong, W Li, Q Xiong, J Wen
Physica A: Statistical Mechanics and its Applications 483, 171-181, 2017
212017
Self-Supervised Graph Co-Training for Session-based Recommendation
X Xia, H Yin, J Yu, Y Shao, L Cui
ACM International Conference on Information and Knowledge Management (CIKM), 2021
202021
A minimax game for generative and discriminative sample models for recommendation
Z Wang, M Gao, X Wang, J Yu, J Wen, Q Xiong
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
152019
Collaborative shilling detection bridging factorization and user embedding
T Dou, J Yu, Q Xiong, M Gao, Y Song, Q Fang
International Conference on Collaborative Computing: Networking …, 2017
152017
Fast-adapting and Privacy-preserving Federated Recommender System
Q Wang, H Yin, T Chen, J Yu, A Zhou, X Zhang
The VLDB Journal, 1-20, 2021
142021
Detection of shilling attack based on bayesian model and user embedding
F Yang, M Gao, J Yu, Y Song, X Wang
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
112018
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
J Zhang, M Gao, J Yu, L Guo, J Li, H Yin
ACM International Conference on Information and Knowledge Management (CIKM), 2021
102021
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
J Yu, H Yin, X Xia, T Chen, L Cui, QVH Nguyen
The 45th International ACM SIGIR Conference on Research and Development in …, 2022
9*2022
Connecting factorization and distance metric learning for social recommendations
J Yu, M Gao, Y Song, Z Zhao, W Rong, Q Xiong
International Conference on Knowledge Science, Engineering and Management …, 2017
72017
Make users and preferred items closer: recommendation via distance metric learning
J Yu, M Gao, W Rong, Y Song, Q Fang, Q Xiong
International Conference on Neural Information Processing, 297-305, 2017
62017
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
F Wu, M Gao, J Yu, Z Wang, K Liu, X Wange
Information Sciences, 683-701, 2021
52021
Self-Supervised Learning for Recommender Systems: A Survey
J Yu, H Yin, X Xia, T Chen, J Li, Z Huang
arXiv preprint arXiv:2203.15876, 2022
42022
The system can't perform the operation now. Try again later.
Articles 1–20