Shahana Ibrahim

According to our database, Shahana Ibrahim authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective.

Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis

CoRR, 2024

Labeling Sequential Data From Noisy Annotations.

Tim Marrinan, Shahana Ibrahim, Xiao Fu

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

2023

Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach.

Tri Nguyen, Shahana Ibrahim, Xiao Fu

Proceedings of the International Conference on Machine Learning, 2023

Under-Counted Tensor Completion with Neural Incorporation of Attributes.

Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo

Proceedings of the International Conference on Machine Learning, 2023

Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization.

Shahana Ibrahim, Tri Nguyen, Xiao Fu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design.

Daniel Grey Wolnick, Shahana Ibrahim, Tim Marrinan, Xiao Fu

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses.

Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong

IEEE Trans. Signal Process., 2022

2021

Mixed Membership Graph Clustering via Systematic Edge Query.

Shahana Ibrahim, Xiao Fu

IEEE Trans. Signal Process., 2021

Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals.

Shahana Ibrahim, Xiao Fu

IEEE Trans. Signal Process., 2021

Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization.

Shahana Ibrahim, Xiao Fu

Proceedings of the 38th International Conference on Machine Learning, 2021

Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence.

Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm.

Shahana Ibrahim, Xiao Fu

Proceedings of the IEEE International Conference on Acoustics, 2021

VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition.

Lingyi Huang, Chunhua Deng, Shahana Ibrahim, Xiao Fu, Bo Yuan

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization.

Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang

IEEE Trans. Signal Process., 2020

On Recoverability of Randomly Compressed Tensors With Low CP Rank.

Shahana Ibrahim, Xiao Fu, Xingguo Li

IEEE Signal Process. Lett., 2020

Recovering Joint PMF from Pairwise Marginals.

Shahana Ibrahim, Xiao Fu

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Estimating Phase Duration for SPaT Messages.

Shahana Ibrahim, Dileep M. Kalathil, René Osorio Sanchez, Pravin Varaiya

IEEE Trans. Intell. Transp. Syst., 2019

Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms.

Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning.

Shahana Ibrahim, Xiao Fu

Proceedings of the IEEE Data Science Workshop, 2019