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 | 100 | 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 | 77 | 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 | 40 | 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 | 27 | 2024 |
Towards personalized privacy: User-governed data contribution for federated recommendation L Qu, W Yuan, R Zheng, L Cui, Y Shi, H Yin Proceedings of the ACM on Web Conference 2024, 3910-3918, 2024 | 12 | 2024 |
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation R Zheng, L Qu, T Chen, L Cui, Y Shi, H Yin Proceedings of the ACM on Web Conference 2024, 3930-3939, 2024 | 6 | 2024 |
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 | 6 | 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 |
Poisoning decentralized collaborative recommender system and its countermeasures R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin Proceedings of the 47th International ACM SIGIR Conference on Research and …, 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 |