Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis. - Atik Faysal; Ngui Wai Keng; Meng Hee Lim; Mohd Salman Leong (Sensors, 2021)

Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. - Atik Faysal; Mohammad Rostami; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (CoRR, 2023)

NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication. - Atik Faysal; Mohammad Rostami; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar (WOCC, 2024)

BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization. - Atik Faysal; Mohammad Rostami; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (WOCC, 2024)

Meta-Tasks: An alternative view on Meta-Learning Regularization. - Mohammad Rostami; Atik Faysal; Huaxia Wang; Avimanyu Sahoo; Ryan Antle (CoRR, 2024)

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning. - Taha Bouhsine; Imad El Aaroussi; Atik Faysal; Wang Huaxia (CoRR, 2024)

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches. - Atik Faysal; Mohammad Rostami; Taha Boushine; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar (CoRR, 2025)

Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs. - Mohammad Rostami; Atik Faysal; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar; Yu-Dong Yao (CoRR, 2025)

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. - Atik Faysal; Taha Boushine; Mohammad Rostami; Reihaneh Gh. Roshan; Huaxia Wang; Nikhil Muralidhar; Avimanyu Sahoo; Yu-Dong Yao (IEEE Commun. Lett., 2025)