Shahana Ibrahim

35 papers A* 6Misc 5Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning From Crowdsourced Noisy Labels: A signal processing perspective. IEEE Signal Process. Mag. Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
2025	Misc	`conf`	Multi-label Recognition under Noisy Supervision: A Confusion Mixture Modeling Approach. ICASSP Diego Linares Gonzalez, Shahana Ibrahim
2025	J	`jnl`	Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection. CoRR Faizul Rakib Sayem, Shahana Ibrahim
2025	J	`jnl`	Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection. CoRR Tarhib Al Azad, Faizul Rakib Sayem, Shahana Ibrahim
2025	J	`jnl`	Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition. CoRR Tarhib Al Azad, Shahana Ibrahim
2025	Misc	`conf`	Under-Counted Matrix Completion Without Detection Features. ICASSP Tri Nguyen, Shahana Ibrahim, Rebecca A. Hutchinson, Xiao Fu
2024	—	`conf`	Deep Learning Under Instance-Dependent Label Noise: A Tensor Factorization Perspective. IEEECONF Diego Linares Gonzalez, Shahana Ibrahim
2024	—	`conf`	Labeling Sequential Data From Noisy Annotations. SAM Tim Marrinan, Shahana Ibrahim, Xiao Fu
2024	J	`jnl`	Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. CoRR Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
2024	A*	`conf`	Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom. NeurIPS Tri Nguyen, Shahana Ibrahim, Xiao Fu
2023	A*	`conf`	Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. ICML Tri Nguyen, Shahana Ibrahim, Xiao Fu
2023	J	`jnl`	Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. CoRR Tri Nguyen, Shahana Ibrahim, Xiao Fu
2023	A*	`conf`	Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization. ICLR Shahana Ibrahim, Tri Nguyen, Xiao Fu
2023	J	`jnl`	Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization. CoRR Shahana Ibrahim, Tri Nguyen, Xiao Fu
2023	—	`conf`	Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design. CAMSAP Daniel Grey Wolnick, Shahana Ibrahim, Tim Marrinan, Xiao Fu
2023	A*	`conf`	Under-Counted Tensor Completion with Neural Incorporation of Attributes. ICML Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
2023	J	`jnl`	Under-Counted Tensor Completion with Neural Incorporation of Attributes. CoRR Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
2022	J	`jnl`	Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. IEEE Trans. Signal Process. Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021	A*	`conf`	Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. ICML Shahana Ibrahim, Xiao Fu
2021	J	`jnl`	Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization. CoRR Shahana Ibrahim, Xiao Fu
2021	Misc	`conf`	Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. ICASSP Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021	Misc	`conf`	Learning Mixed Membership from Adjacency Graph Via Systematic Edge Query: Identifiability and Algorithm. ICASSP Shahana Ibrahim, Xiao Fu
2021	J	`jnl`	Mixed Membership Graph Clustering via Systematic Edge Query. IEEE Trans. Signal Process. Shahana Ibrahim, Xiao Fu
2021	J	`jnl`	Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals. IEEE Trans. Signal Process. Shahana Ibrahim, Xiao Fu
2021	J	`jnl`	Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. CoRR Wenqiang Pu, Shahana Ibrahim, Xiao Fu, Mingyi Hong
2021	—	`conf`	VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition. ACSCC Lingyi Huang, Chunhua Deng, Shahana Ibrahim, Xiao Fu, Bo Yuan
2020	J	`jnl`	Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. IEEE Trans. Signal Process. Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, Kejun Huang
2020	J	`jnl`	Mixed Membership Graph Clustering via Systematic Edge Query. CoRR Shahana Ibrahim, Xiao Fu
2020	J	`jnl`	On Recoverability of Randomly Compressed Tensors With Low CP Rank. IEEE Signal Process. Lett. Shahana Ibrahim, Xiao Fu, Xingguo Li
2020	Misc	`conf`	Recovering Joint PMF from Pairwise Marginals. ACSSC Shahana Ibrahim, Xiao Fu
2020	J	`jnl`	Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals. CoRR Shahana Ibrahim, Xiao Fu
2019	A*	`conf`	Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. NeurIPS Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
2019	J	`jnl`	Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. CoRR Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang
2019	J	`jnl`	Estimating Phase Duration for SPaT Messages. IEEE Trans. Intell. Transp. Syst. Shahana Ibrahim, Dileep M. Kalathil, René Osorio Sanchez, Pravin Varaiya
2019	—	`conf`	Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning. DSW Shahana Ibrahim, Xiao Fu