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 | 437 | 2021 |
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation J Yu, H Yin, X Xia, T Chen, L Cui, NQV Hung SIGIR'22, 2022 | 396 | 2022 |
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), 2022 | 198 | 2022 |
Socially-Aware Self-Supervised Tri-Training for Recommendation J Yu, H Yin, M Gao, X Xia, X Zhang, NQV Hung ACM International Conference on Knowledge Discovery & Data Mining (KDD), 2021 | 166 | 2021 |
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 | 152 | 2021 |
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 | 82 | 2023 |
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation X Xia, H Yin, J Yu, Q Wang, G Xu, NQV Hung SIGIR'22, 2022 | 40 | 2022 |
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 | 22 | 2022 |
On-Device Recommender Systems: A Comprehensive Survey H Yin, L Qu, T Chen, W Yuan, R Zheng, J Long, X Xia, Y Shi, C Zhang arXiv preprint arXiv:2401.11441, 2024 | 18 | 2024 |
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation X Xia, J Yu, G Xu, H Yin ACM International Conference on Information and Knowledge Management (CIKM), 2023 | 4 | 2023 |
From cloud to device: transforming recommender systems for on-device deployment X Xia | | 2023 |