Publications

You can also find my publications on Google Scholar

Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
Shahana Ibrahim, Panagiotis A Traganitis, Xiao Fu, Georgios B Giannakis.
IEEE Signal Processing Magazine, 2025
[PDF] Robust Multi-Label Learning with Human- Guided and Foundation Model-Aided Crowd Framework
Faizul Rakib Sayem and Shahana Ibrahim.
IEEE International Conference on Image Processing (ICIP), 2025
Multi-label Recognition under Noisy Supervision: A Confusion Mixture Modeling Approach
Diego Linares Gonzalez and Shahana Ibrahim.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
[PDF] Under-Counted Matrix Completion Without Detection Features
Tri Nguyen, Shahana Ibrahim, and Xiao Fu.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
[PDF] Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
Tri Nguyen, Shahana Ibrahim, and Xiao Fu.
Advances in Neural Information Processing Systems, 2024
[PDF] Deep Learning under Instance-dependent Label Noise: A Tensor Factorization Perspective
Diego Linares Gonzalez and Shahana Ibrahim.
Asilomar Conference on Signals, Systems, and Computers, 2024
[PDF] Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, and Eugene Seo.
International Conference on Machine Learning (ICML), 2023
[PDF] [CODE] Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen, Shahana Ibrahim, and Xiao Fu.
International Conference on Machine Learning (ICML), 2023
[PDF] Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization
Shahana Ibrahim, Tri Nguyen, and Xiao Fu.
International Conference on Learning Representations (ICLR), 2023
[PDF] [CODE] [SLIDES] [POSTER] Labeling Sequential Data from Noisy Annotations
Tim Marrinan, Shahana Ibrahim, and Xiao Fu.
IEEE Sensor Array and Multichannel Signal Processing Workshop, 2023
[PDF] Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design
Daniel Grey Wolnick, Shahana Ibrahim, Tim Marrinan, and Xiao Fu.
IEEE Computational Advances in Multi-Sensor Adaptive Processing Workshop, 2023
[PDF] Stochastic Mirror Descent for LowRank Tensor Decomposition Under Non-Euclidean Losses
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, and Mingyi Hong.
IEEE Transactions on Signal Processing, 2022
[PDF] Under-Counted Tensor Completion with Neural Network-based Side Information Learner
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, and Eugen Seo.
NeurIPS Women in Machine Learning Workshop, 2022
[POSTER] Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Shahana Ibrahim and Xiao Fu.
IEEE Transactions on Signal Processing, 2021
[PDF] [CODE] [SLIDES] Mixed Membership Graph Clustering via Systematic Edge Query
Shahana Ibrahim and Xiao Fu.
IEEE Transactions on Signal Processing, 2021
[PDF] [CODE] Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim and Xiao Fu.
International Conference on Machine Learning (ICML), 2021
[PDF] [CODE] [SLIDES] [POSTER] VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition
Lingyi Huang, Chunhua Deng, Shahana Ibrahim, Xiao Fu, Bo Yuan.
Asilomar Conference on Signals, Systems, and Computers, 2021
[PDF] Fiber-Sampled Stochastic Mirror Descent For Tensor Decomposition with beta Divergence
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, and Mingyi Hong.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
[PDF] Learning Mixed Membership from Adjacency Graph via Systematic Edge Query: Identifiability and Algorithm
Shahana Ibrahim and Xiao Fu.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
[PDF] [SLIDES] [POSTER] On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim, Xiao Fu, and Xingguo Li.
IEEE Signal Processing Letters, 2020
[PDF] Recovering Joint PMF from Pairwise Marginals
Shahana Ibrahim and Xiao Fu.
Asilomar Conference on Signals, Systems, and Computers, 2020
[PDF] [SLIDES] Block-Randomized Stochastic Proximal Gradient for Low Rank Tensor Factorization
Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, and Kejun Huang.
IEEE Transactions on Signal Processing, 2020
[PDF] [CODE] Crowdsourcing via Pairwise Cooccurrences: Identifiability and Algorithms
Shahana Ibrahim and Xiao Fu.
Advances in Neural Information Processing Systems, 2019
[PDF] [CODE] [SLIDES] [POSTER] Estimating Phase Duration for SPAT messages
Shahana Ibrahim, Dileep Kalathil, Rene Sanchez, and Pravin Varaiya.
IEEE Transactions on Intelligent Transportation Systems, 2019
[PDF] [SLIDES] Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning
Shahana Ibrahim and Xiao Fu.
IEEE Data Science Workshop (DSW), 2019
[PDF] [SLIDES]