References
updated
Self-Improving Interference Management Based on Deep Learning With
Uncertainty Quantification
Paper
• 2401.13206
• Published
A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling
Detection
Paper
• 2507.15291
• Published
• 1
Over-The-Air Double-Threshold Deep Learner for Jamming Detection in 5G
RF domain
Paper
• 2403.02645
• Published
Radio Map Estimation -- An Open Dataset with Directive Transmitter
Antennas and Initial Experiments
Paper
• 2402.00878
• Published
• 1
Moving Object Classification with a Sub-6 GHz Massive MIMO Array using
Real Data
Paper
• 2102.04892
• Published
• 1
An OFDM Signal Identification Method for Wireless Communications Systems
Paper
• 1501.00001
• Published
• 3
Exploring Highly Quantised Neural Networks for Intrusion Detection in
Automotive CAN
Paper
• 2401.11030
• Published
Large Wireless Model (LWM): A Foundation Model for Wireless Channels
Paper
• 2411.08872
• Published
Distributed Deep Joint Source-Channel Coding with Decoder-Only Side
Information
Paper
• 2310.04311
• Published
• 1
Improved lightweight identification of agricultural diseases based on
MobileNetV3
Paper
• 2207.11238
• Published
Weight-dependent Gates for Network Pruning
Paper
• 2007.02066
• Published
• 1
PP-LCNet: A Lightweight CPU Convolutional Neural Network
Paper
• 2109.15099
• Published
Multichannel Keyword Spotting for Noisy Conditions
Paper
• 2507.15558
• Published
Learning the CSI Denoising and Feedback Without Supervision
Paper
• 2104.05002
• Published
Neural Compression and Filtering for Edge-assisted Real-time Object
Detection in Challenged Networks
Paper
• 2007.15818
• Published
Autoencoder-based Radio Frequency Interference Mitigation For SMAP
Passive Radiometer
Paper
• 2304.13158
• Published
• 1
Semi-Supervised RF Fingerprinting with Consistency-Based Regularization
Paper
• 2304.14795
• Published
• 1
From Classification to Optimization: Slicing and Resource Management
with TRACTOR
Paper
• 2312.07896
• Published
An Overview of Machine Learning Techniques for Radiowave Propagation
Modeling
Paper
• 2101.11760
• Published
• 1
Predicting Bandwidth Utilization on Network Links Using Machine Learning
Paper
• 2112.02417
• Published
• 1
Millimeter Wave Channel Modeling via Generative Neural Networks
Paper
• 2008.11006
• Published
I Can't Believe It's Not Real: CV-MuSeNet: Complex-Valued Multi-Signal
Segmentation
Paper
• 2506.11048
• Published
EMOv2: Pushing 5M Vision Model Frontier
Paper
• 2412.06674
• Published
• 13
ClST: A Convolutional Transformer Framework for Automatic Modulation
Recognition by Knowledge Distillation
Paper
• 2312.17446
• Published
Modelling the 5G Energy Consumption using Real-world Data: Energy
Fingerprint is All You Need
Paper
• 2406.16929
• Published
A Homogeneous Graph Neural Network for Precoding and Power Allocation in
Scalable Wireless Networks
Paper
• 2408.17252
• Published
NeRF2: Neural Radio-Frequency Radiance Fields
Paper
• 2305.06118
• Published
• 1
Neural Network Pruning as Spectrum Preserving Process
Paper
• 2307.08982
• Published
• 1
Disentangled Representation Learning for RF Fingerprint Extraction under
Unknown Channel Statistics
Paper
• 2208.02724
• Published
• 1
mpNet: variable depth unfolded neural network for massive MIMO channel
estimation
Paper
• 2008.04088
• Published
CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and
Classification in Wireless Communication and Sensing
Paper
• 2412.06861
• Published
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for
Wireless Communication
Paper
• 2502.06877
• Published
How Powerful are Shallow Neural Networks with Bandlimited Random
Weights?
Paper
• 2008.08427
• Published
ClearBuds: Wireless Binaural Earbuds for Learning-Based Speech
Enhancement
Paper
• 2206.13611
• Published
Graph Neural Networks for Jamming Source Localization
Paper
• 2506.03196
• Published
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram
and CNN
Paper
• 2101.01668
• Published
• 1
Research on Optimizing Real-Time Data Processing in High-Frequency
Trading Algorithms using Machine Learning
Paper
• 2412.01062
• Published
Attention Aided CSI Wireless Localization
Paper
• 2203.10506
• Published
• 1
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns
for Intrusion Detection
Paper
• 2310.10661
• Published
• 1
Grid-free Harmonic Retrieval and Model Order Selection using Deep
Convolutional Neural Networks
Paper
• 2211.04846
• Published
Decentralized Neural Networks for Robust and Scalable Eigenvalue
Computation
Paper
• 2409.06746
• Published
Personalized Resource Allocation in Wireless Networks: An AI-Enabled and
Big Data-Driven Multi-Objective Optimization
Paper
• 2307.03867
• Published
Trained Rank Pruning for Efficient Deep Neural Networks
Paper
• 1812.02402
• Published
• 1
Quantization and Training of Neural Networks for Efficient
Integer-Arithmetic-Only Inference
Paper
• 1712.05877
• Published
• 1
Fast Convex Pruning of Deep Neural Networks
Paper
• 1806.06457
• Published
• 1
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner
Attacks, And The Role of Distillation as Defense Mechanism
Paper
• 2404.04245
• Published
In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent
Radar
Paper
• 2312.10343
• Published
• 1
YOLOv9: Learning What You Want to Learn Using Programmable Gradient
Information
Paper
• 2402.13616
• Published
• 49
Searching for MobileNetV3
Paper
• 1905.02244
• Published
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
Applications
Paper
• 1704.04861
• Published
• 1
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio
Access Technologies
Paper
• 2212.10343
• Published
FAN: Fourier Analysis Networks
Paper
• 2410.02675
• Published
• 29
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF
Signals
Paper
• 2307.05914
• Published
A Wireless Foundation Model for Multi-Task Prediction
Paper
• 2507.05938
• Published
Self-Supervised and Invariant Representations for Wireless Localization
Paper
• 2302.07000
• Published
• 1
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
Paper
• 2504.17493
• Published
• 1
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images
Detection
Paper
• 2103.17195
• Published
Building Efficient Lightweight CNN Models
Paper
• 2501.15547
• Published
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End
Hyperspectral Image Classification
Paper
• 2011.05670
• Published
SWAT: Scalable and Efficient Window Attention-based Transformers
Acceleration on FPGAs
Paper
• 2405.17025
• Published
Trainable Fixed-Point Quantization for Deep Learning Acceleration on
FPGAs
Paper
• 2401.17544
• Published
• 1
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
Design
Paper
• 1807.11164
• Published
Automatic Neural Network Pruning that Efficiently Preserves the Model
Accuracy
Paper
• 2111.09635
• Published
• 1
SAU: Smooth activation function using convolution with approximate
identities
Paper
• 2109.13210
• Published
Pruning Very Deep Neural Network Channels for Efficient Inference
Paper
• 2211.08339
• Published
• 1
Learning Activation Functions for Sparse Neural Networks
Paper
• 2305.10964
• Published
• 1
Methods for Pruning Deep Neural Networks
Paper
• 2011.00241
• Published
• 1
Only Train Once: A One-Shot Neural Network Training And Pruning
Framework
Paper
• 2107.07467
• Published
Dynamic Sparse Training via Balancing the Exploration-Exploitation
Trade-off
Paper
• 2211.16667
• Published
• 1
DistiLLM: Towards Streamlined Distillation for Large Language Models
Paper
• 2402.03898
• Published
• 3
A scalable and efficient convolutional neural network accelerator using
HLS for a System on Chip design
Paper
• 2004.13075
• Published
• 1