| Imgagn: Imbalanced network embedding via generative adversarial graph networks L Qu, H Zhu, R Zheng, Y Shi, H Yin Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 71 | 2021 |
| Automl for deep recommender systems: A survey R Zheng, L Qu, B Cui, Y Shi, H Yin ACM Transactions on Information Systems 41 (4), 1-38, 2023 | 53 | 2023 |
| Semi-decentralized federated ego graph learning for recommendation L Qu, N Tang, R Zheng, QVH Nguyen, Z Huang, Y Shi, H Yin Proceedings of the ACM Web Conference 2023, 339-348, 2023 | 24 | 2023 |
| 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 | 10 | 2024 |
| BSO-CLS: brain storm optimization algorithm with cooperative learning strategy L Qu, Q Duan, J Yang, S Cheng, R Zheng, Y Shi Advances in Swarm Intelligence: 11th International Conference, ICSI 2020 …, 2020 | 5 | 2020 |
| Personalized Elastic Embedding Learning for On-Device Recommendation R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin IEEE Transactions on Knowledge and Data Engineering, 2024 | 4 | 2024 |
| Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation L Qu, W Yuan, R Zheng, L Cui, Y Shi, H Yin arXiv preprint arXiv:2401.17630, 2024 | 4 | 2024 |
| BSO-CMA-ES: Brain storm optimization based covariance matrix adaptation evolution strategy for multimodal optimization L Qu, R Zheng, Y Shi Data Mining and Big Data: 6th International Conference, DMBD 2021, Guangzhou …, 2021 | 4 | 2021 |
| Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation R Zheng, L Qu, T Chen, L Cui, Y Shi, H Yin arXiv preprint arXiv:2401.13448, 2024 | 2 | 2024 |
| Poisoning Decentralized Collaborative Recommender System and Its Countermeasures R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin arXiv preprint arXiv:2404.01177, 2024 | 1 | 2024 |
