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Junliang Yu
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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
3752021
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
3092021
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
2812022
Self-supervised learning for recommender systems: A survey
J Yu, H Yin, X Xia, T Chen, J Li, Z Huang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
1432023
Enhancing 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
1302020
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
1302018
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
1252021
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
1242021
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
872021
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
802019
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
682021
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
592021
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
J Yu, X Xia, T Chen, L Cui, NQV Hung, H Yin
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
382023
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
382017
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation
X Xia, H Yin, J Yu, Q Wang, G Xu, NQV Hung
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
322022
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
262021
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
262017
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
222017
Efficient On-Device Session-Based Recommendation
X Xia, J Yu, Q Wang, C Yang, QVH Nguyen, H Yin
ACM Transactions on Information Systems (TOIS), 2022
202022
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
182019
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