| 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 | 210 | 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 | 101 | 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 | 34 | 2017 |
| 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 | 31 | 2023 |
| Learning privately over distributed features: An ADMM sharing approach Y Hu, P Liu, L Kong, D Niu arXiv preprint arXiv:1907.07735, 2019 | 29 | 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 | 27 | 2021 |
| 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 | 21 | 2023 |
| 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 | 20 | 2016 |
| 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 |
| 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 | 17 | 2014 |
| 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 | 12 | 2022 |
| On batch-size selection for stochastic training for graph neural networks Y Hu, A Levi, I Kumar, Y Zhang, M Coates | 5 | 2021 |
| Neural graph generation from graph statistics K Zahirnia, Y Hu, M Coates, O Schulte Advances in Neural Information Processing Systems 36, 36324-36338, 2023 | 4 | 2023 |
| Enhancing logical reasoning in large language models through graph-based synthetic data J Zhou, A Ghaddar, G Zhang, L Ma, Y Hu, S Pal, M Coates, B Wang, ... arXiv preprint arXiv:2409.12437, 2024 | 2 | 2024 |
| 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 |
| Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models G Zhang, MA Alomrani, H Gu, J Zhou, Y Hu, B Wang, Q Liu, M Coates, ... arXiv preprint arXiv:2412.17963, 2024 | 1 | 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 | 1 | 2023 |
| 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 |
| Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation L Zhang, Y Liu, Z Zhang, M Aghaei, Y Hu, H Gu, MA Alomrani, DGA Bravo, ... arXiv preprint arXiv:2502.14254, 2025 | | 2025 |
Di NiuProfessor, University of Alberta確認したメール アドレス: ualberta.ca