Atik Faysal

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception.
CoRR
Mohammad Rostami, Atik Faysal, Hongtao Xia, Hadi Kasasbeh, Ziang Gao, Huaxia Wang
2026 J jnl
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches for Automatic Modulation Classification.
IEEE Trans. Commun.
Atik Faysal, Mohammad Rostami, Taha Boushine, Reihaneh Gh. Roshan, Nikhil Muralidhar, Yu-Dong Yao, Huaxia Wang
2026 J jnl
Finetune-Informed Pretraining Boosts Downstream Performance.
CoRR
Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Nikhil Muralidhar, Huaxia Wang
2026 J jnl
Metarep: improving meta-learning accuracy by learning episodic representation.
Int. J. Mach. Learn. Cybern.
Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2026 J jnl
Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data.
CoRR
Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Nikhil Muralidhar, Huaxia Wang
2025 J jnl
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches.
CoRR
Atik Faysal, Mohammad Rostami, Taha Boushine, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar
2025 J jnl
DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals.
CoRR
Atik Faysal, Taha Boushine, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yu-Dong Yao
2025 J jnl
DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals.
IEEE Commun. Lett.
Atik Faysal, Taha Boushine, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yu-Dong Yao
2025 J jnl
DiSC-AMC: Token- and Parameter-Efficient Discretized Statistics In-Context Automatic Modulation Classification.
CoRR
Mohammad Rostami, Atik Faysal, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Yu-Dong Yao
2025 J jnl
Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs.
CoRR
Mohammad Rostami, Atik Faysal, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Yu-Dong Yao
2024 — conf
BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization.
WOCC
Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2024 J jnl
Meta-Tasks: An alternative view on Meta-Learning Regularization.
CoRR
Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2024 — conf
NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication.
WOCC
Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar
2024 J jnl
NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication.
CoRR
Atik Faysal, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar
2024 J jnl
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning.
CoRR
Taha Bouhsine, Imad El Aaroussi, Atik Faysal, Wang Huaxia
2023 J jnl
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning.
CoRR
Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2021 J jnl
Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis.
Sensors
Atik Faysal, Ngui Wai Keng, Meng Hee Lim, Mohd Salman Leong