123666z
's Collections
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
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
•
28
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