| 2025 | ICASSP | Multi-label Recognition under Noisy Supervision: A Confusion Mixture Modeling Approach. | Diego Linares Gonzalez, Shahana Ibrahim |
| 2025 | ICASSP | Under-Counted Matrix Completion Without Detection Features. | Tri Nguyen, Shahana Ibrahim, Rebecca A. Hutchinson, Xiao Fu |
| 2025 | ICIP | Robust Multi-Label Learning with Human-Guided and Foundation Model-Aided Crowd Framework. | Faizul Rakib Sayem, Shahana Ibrahim |
| 2024 | ACSSC | Deep Learning Under Instance-Dependent Label Noise: A Tensor Factorization Perspective. | Diego Linares Gonzalez, Shahana Ibrahim |
| 2023 | ICLR | Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization. | Shahana Ibrahim, Tri Nguyen, Xiao Fu |
| 2023 | ICML | Under-Counted Tensor Completion with Neural Incorporation of Attributes. | Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo |
| 2023 | ICML | Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. | Tri Nguyen, Shahana Ibrahim, Xiao Fu |
| 2021 | ACSSC | VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition. | Lingyi Huang, Chunhua Deng, Shahana Ibrahim, Xiao Fu, Bo Yuan |
| 2021 | ICASSP | Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm. | Shahana Ibrahim, Xiao Fu |
| 2021 | ICASSP | Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. | Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong |
| 2021 | ICML | Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. | Shahana Ibrahim, Xiao Fu |
| 2020 | ACSSC | Recovering Joint PMF from Pairwise Marginals. | Shahana Ibrahim, Xiao Fu |