| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 419 | 2023 |
| Android malware detection based on factorization machine C Li, K Mills, D Niu, R Zhu, H Zhang, H Kinawi IEEE Access 7, 184008-184019, 2019 | 81 | 2019 |
| Imitating interactive intelligence J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2012.05672, 2020 | 72 | 2020 |
| Network Latency Estimation for Personal Devices: A Matrix Completion Approach R Zhu, B Liu, D Niu, Z Li, HV Zhao IEEE/ACM Transactions on Networking, 2016 | 59 | 2016 |
| Creating multimodal interactive agents with imitation and self-supervised learning DMIA Team, J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2112.03763, 2021 | 40 | 2021 |
| Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback J Abramson, A Ahuja, F Carnevale, P Georgiev, A Goldin, A Hung, ... arXiv preprint arXiv:2211.11602, 2022 | 22 | 2022 |
| Robust web service recommendation via quantile matrix factorization R Zhu, D Niu, Z Li INFOCOM 2017 - IEEE Conference on Computer Communications, IEEE, 2017 | 14 | 2017 |
| A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization R Zhu, D Niu, Z Li arXiv preprint arXiv:1802.08882, 2018 | 9 | 2018 |
| Expectile Matrix Factorization for Skewed Data Analysis R Zhu, D Niu, L Kong, Z Li Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 9 | 2017 |
| A theoretical understanding of gradient bias in meta-reinforcement learning B Liu, X Feng, J Ren, L Mai, R Zhu, H Zhang, J Wang, Y Yang Advances in Neural Information Processing Systems 35, 31059-31072, 2022 | 8 | 2022 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 6 | 2024 |
| Optimal multicast in virtualized datacenter networks with software switches R Zhu, D Niu, B Li, Z Li INFOCOM 2017 - IEEE Conference on Computer Communications, IEEE, 2017 | 6 | 2017 |
| On the secure conditions for distributed storage systems R Zhu, W Guo 2013 International Symposium on Network Coding (NetCod), 2013 | 5 | 2013 |
| Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization R Zhu, D Niu, Z Li arXiv preprint arXiv:1802.08880, 2018 | 4 | 2018 |
| Optimal Smooth Approximation for Quantile Matrix Factorization P Liu, Y Liu, R Zhu, L Kong, B Jiang, D Niu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems R Zhu, D Niu arXiv preprint arXiv:1810.09270, 2018 | 1 | 2018 |
| Min-cost live webcast under joint pricing of data, congestion and virtualized servers R Zhu, D Niu, B Li 2014 7th International Conference on NETwork Games, COntrol and OPtimization …, 2014 | 1 | 2014 |
| Controlling interactive agents using multi-modal inputs JS Abramson, A Ahuja, FJ Carnevale, PI Georgiev, CC Hung, TP Lillicrap, ... US Patent App. 18/077,194, 2023 | | 2023 |
| Methods and systems for decentralized federated learning R Zhu, X Li, Y Zhang, L Wang US Patent US20220114475A1, 2022 | | 2022 |
| Nonconvex Optimization Methods for Large-scale Statistical Machine Learning R Zhu University of Alberta, 2019 | | 2019 |
Di NiuProfessor, University of AlbertaVerified email at ualberta.ca
