| Block-randomized stochastic proximal gradient for low-rank tensor factorization X Fu, S Ibrahim, HT Wai, C Gao, K Huang IEEE Transactions on Signal Processing 68, 2170-2185, 2020 | 53 | 2020 |
| Crowdsourcing via Pairwise Co-occurrences:Identifiability and Algorithms S Ibrahim, X Fu, N Kargas, K Huang Advances in Neural Information Processing Systems 32, 2019 | 42 | 2019 |
| Estimating phase duration for SPaT messages S Ibrahim, D Kalathil, RO Sanchez, P Varaiya IEEE Transactions on Intelligent Transportation Systems 20 (7), 2668-2676, 2018 | 42 | 2018 |
| Deep learning from crowdsourced labels: Coupled cross-entropy minimization, identifiability, and regularization S Ibrahim, T Nguyen, X Fu The Eleventh International Conference on Learning Representations, 2023 | 16 | 2023 |
| Recovering joint probability of discrete random variables from pairwise marginals S Ibrahim, X Fu IEEE Transactions on Signal Processing 69, 4116-4131, 2021 | 16 | 2021 |
| Crowdsourcing via annotator co-occurrence imputation and provable symmetric nonnegative matrix factorization S Ibrahim, X Fu Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 12 | 2021 |
| Stochastic mirror descent for low-rank tensor decomposition under non-euclidean losses W Pu, S Ibrahim, X Fu, M Hong IEEE Transactions on Signal Processing 70, 1803-1818, 2022 | 11 | 2022 |
| Mixed membership graph clustering via systematic edge query S Ibrahim, X Fu IEEE Transactions on Signal Processing 69, 5189-5205, 2021 | 6 | 2021 |
| Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach T Nguyen, S Ibrahim, X Fu Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 5 | 2023 |
| On recoverability of randomly compressed tensors with low cp rank S Ibrahim, X Fu, X Li IEEE Signal Processing Letters 27, 1125-1129, 2020 | 3 | 2020 |
| Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning S Ibrahim, X Fu 2019 IEEE Data Science Workshop (DSW), 2019 | 3 | 2019 |
| Under-Counted Tensor Completion with Neural Incorporation of Attributes S Ibrahim, X Fu, R Hutchinson, E Seo Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 2 | 2023 |
| Fiber-sampled stochastic mirror descent for tensor decomposition with β-divergence W Pu, S Ibrahim, X Fu, M Hong ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
| VLSI hardware architecture of stochastic low-rank tensor decomposition L Huang, C Deng, S Ibrahim, X Fu, B Yuan 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1176-1180, 2021 | 1 | 2021 |
| Learning mixed membership from adjacency graph via systematic edge query: Identifiability and algorithm S Ibrahim, X Fu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| Recovering joint PMF from pairwise marginals S Ibrahim, X Fu 2020 54th Asilomar Conference on Signals, Systems, and Computers, 356-360, 2020 | 1 | 2020 |
| Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective S Ibrahim, PA Traganitis, X Fu, GB Giannakis arXiv preprint arXiv:2407.06902, 2024 | | 2024 |
| Labeling Sequential Data From Noisy Annotations T Marrinan, S Ibrahim, X Fu 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2024 | | 2024 |
| Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design DG Wolnick, S Ibrahim, T Marrinan, X Fu 2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023 | | 2023 |
Xiao FuAssociate Professor, EECS, Oregon State University在 oregonstate.edu 的电子邮件经过验证
