Publications

You can also find my publications on Google Scholar

</tr> Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, and Eugene Seo.
accepted at International Conference on Machine Learning (ICML), 2023
[PDF] [CODE] </tr>

</tr> Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen, Shahana Ibrahim, and Xiao Fu.
accepted at International Conference on Machine Learning (ICML), 2023
[PDF] </tr>

</tr> 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] </tr>

</tr> 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] </tr>

</tr> 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] </tr>

</tr> Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Shahana Ibrahim and Xiao Fu.
IEEE Transactions on Signal Processing, 2021
[PDF] [CODE] [SLIDES] </tr>

</tr> Mixed Membership Graph Clustering via Systematic Edge Query
Shahana Ibrahim and Xiao Fu.
IEEE Transactions on Signal Processing, 2021
[PDF] [CODE] </tr>

</tr> 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] </tr>

</tr> 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] </tr>

</tr> 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] </tr>

</tr> 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] </tr>

</tr> On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim, Xiao Fu, and Xingguo Li.
IEEE Signal Processing Letters, 2020
[PDF] </tr>

</tr> Recovering Joint PMF from Pairwise Marginals
Shahana Ibrahim and Xiao Fu.
Asilomar Conference on Signals, Systems, and Computers, 2020
[PDF] [SLIDES] </tr>

</tr> 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] </tr>

</tr> Crowdsourcing via Pairwise Cooccurrences: Identifiability and Algorithms
Shahana Ibrahim and Xiao Fu.
Advances in Neural Information Processing Systems, 2019
[PDF] [CODE] [SLIDES] [POSTER] </tr>

</tr> Estimating Phase Duration for SPAT messages
Shahana Ibrahim, Dileep Kalathil, Rene Sanchez, and Pravin Varaiya.
IEEE Transactions on Intelligent Transportation Systems, 2019
[PDF] [SLIDES] </tr>

</tr> Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning
Shahana Ibrahim and Xiao Fu.
IEEE Data Science Workshop (DSW), 2019
[PDF] [SLIDES] </tr>