| FDML: A collaborative machine learning framework for distributed features Y Hu, D Niu, J Yang, S Zhou Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 183 | 2019 |
| A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks J Sun, W Guo, D Zhang, Y Zhang, F Regol, Y Hu, H Guo, R Tang, H Yuan, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 80 | 2020 |
| Latency reduction and load balancing in coded storage systems Y Hu, Y Wang, B Liu, D Niu, C Huang Proceedings of the 2017 Symposium on Cloud Computing, 365-377, 2017 | 30 | 2017 |
| Learning privately over distributed features: An ADMM sharing approach Y Hu, P Liu, L Kong, D Niu arXiv preprint arXiv:1907.07735, 2019 | 26 | 2019 |
| Deep graph convolutional networks with hybrid normalization for accurate and diverse recommendation W Guo, Y Yang, Y Hu, C Wang, H Guo, Y Zhang, R Tang, W Zhang, X He Proceedings of 3rd Workshop on Deep Learning Practice for High-Dimensional …, 2021 | 18 | 2021 |
| Reducing access latency in erasure coded cloud storage with local block migration Y Hu, D Niu IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 18 | 2016 |
| A geometric approach to server selection for interactive video streaming Y Hu, D Niu, Z Li IEEE Transactions on Multimedia 18 (5), 840-851, 2016 | 18 | 2016 |
| Server selection and topology control for multi-party video conferences S Zhang, D Niu, Y Hu, F Liu Proceedings of Network and Operating System Support on Digital Audio and …, 2014 | 15 | 2014 |
| A survey on user behavior modeling in recommender systems Z He, W Liu, W Guo, J Qin, Y Zhang, Y Hu, R Tang arXiv preprint arXiv:2302.11087, 2023 | 10 | 2023 |
| Compressed interaction graph based framework for multi-behavior recommendation W Guo, C Meng, E Yuan, Z He, H Guo, Y Zhang, B Chen, Y Hu, R Tang, ... Proceedings of the ACM Web Conference 2023, 960-970, 2023 | 9 | 2023 |
| Eflec: Efficient feature-leakage correction in gnn based recommendation systems I Kumar, Y Hu, Y Zhang Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 8 | 2022 |
| Dual Path Graph Convolutional Networks Y Li, Y Hu, Y Zhang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| Graph representation learning via adversarial variational bayes Y Li, Y Hu, Y Zhang Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
| On Batch-size Selection for Stochastic Training for Graph Neural Networks Y Hu, A Levi, I Kumar, Y Zhang, M Coates | 2 | 2020 |
| A fast linear computational framework for user action prediction in tencent MyApp Y Hu, D Niu, J Yang Proceedings of the 27th ACM International Conference on Information and …, 2018 | 1 | 2018 |
| Neural Graph Generation from Graph Statistics K Zahirnia, Y Hu, M Coates, O Schulte Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Towards Automated Negative Sampling in Implicit Recommendation F Lyu, Y Hu, X Tang, Y Zhang, R Tang, X Liu arXiv preprint arXiv:2311.03526, 2023 | | 2023 |
| Privacy and Optimization for Distributed Machine Learning and Storage Y Hu | | 2019 |
Di NiuProfessor, University of AlbertaVerified email at ualberta.ca
