Atik Faysal

According to our database, Atik Faysal authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Metarep: improving meta-learning accuracy by learning episodic representation.

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

Int. J. Mach. Learn. Cybern., April, 2026

Finetune-Informed Pretraining Boosts Downstream Performance.

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

CoRR, January, 2026

Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data.

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

CoRR, January, 2026

CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception.

Mohammad Rostami, Atik Faysal, Hongtao Xia, Hadi Kasasbeh, Ziang Gao, Huaxia Wang

CoRR, January, 2026

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches for Automatic Modulation Classification.

Atik Faysal, Mohammad Rostami, Taha Boushine, Reihaneh Gh. Roshan, Nikhil Muralidhar, Yu-Dong Yao, Huaxia Wang

IEEE Trans. Commun., 2026

2025

DiSC-AMC: Token- and Parameter-Efficient Discretized Statistics In-Context Automatic Modulation Classification.

Mohammad Rostami, Atik Faysal, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Yu-Dong Yao

CoRR, October, 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