Atik Faysal

According to our database, Atik Faysal authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

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., July, 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, May, 2025

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches.

Atik Faysal, Mohammad Rostami, Taha Boushine, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar

CoRR, February, 2025

2024

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning.

Taha Bouhsine, Imad El Aaroussi, Atik Faysal, Wang Huaxia

CoRR, 2024

Meta-Tasks: An alternative view on Meta-Learning Regularization.

Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle

CoRR, 2024

BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization.

Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle

Proceedings of the 33rd Wireless and Optical Communications Conference, 2024

NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication.

Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar

Proceedings of the 33rd Wireless and Optical Communications Conference, 2024

2023

Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning.

Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle

CoRR, 2023

2021

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