Research Topics - Huang Lin

5G

Attention Networks

A prior-probability-driven structured attention network for indoor localization

Biomedical Data

A Self-Organizing Map Artificial Neural Network to Improve the K-Means Algorithm on the Classification of Different Cancers

Classification

A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals

Clustering

Two-stage clustering for improved indoor positioning accuracy
A Self-Organizing Map Artificial Neural Network to Improve the K-Means Algorithm on the Classification of Different Cancers

Dataset Generation

Building 5G Fingerprint Datasets for Accurate Indoor Positioning

Deep Learning

Explainable ML

High-Dimensional Data

Query-Adaptive Local Regression for High-Dimensional Spectral Analysis

Indoor Localization

Indoor Positioning

Building 5G Fingerprint Datasets for Accurate Indoor Positioning

KNN

Knowledge Distillation

A dual-mode framework for indoor localization via temporal learning and knowledge distillation

LSTM

A dual-mode framework for indoor localization via temporal learning and knowledge distillation

Local Regression

Query-Adaptive Local Regression for High-Dimensional Spectral Analysis

MIMO

Building 5G Fingerprint Datasets for Accurate Indoor Positioning

Machine Learning

Two-stage clustering for improved indoor positioning accuracy

NR-V2X

Simulation of NR-V2X in a 5G Environment using OMNeT++

OMNeT++

Simulation of NR-V2X in a 5G Environment using OMNeT++

Prosthetic Control

A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals

RSRP

Two-stage clustering for improved indoor positioning accuracy

RSS Fingerprinting

Group matching method for search-space reduction, development, proof, and comparison

Ray Tracing

Building 5G Fingerprint Datasets for Accurate Indoor Positioning

Real-Time Inference

A dual-mode framework for indoor localization via temporal learning and knowledge distillation

SOM

A Self-Organizing Map Artificial Neural Network to Improve the K-Means Algorithm on the Classification of Different Cancers

Sampling Parameters

Exploring sampling parameters and localization performance in a multi-layer, multi-structure 5G environment

Search-Space Reduction

Query-Adaptive Local Regression for High-Dimensional Spectral Analysis

Signal Processing

A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals

Similarity Filtering

An enhanced group matching method with transformed fingerprints, similarity filtering, and adaptive selection for indoor localization

Simulation

Simulation of NR-V2X in a 5G Environment using OMNeT++

Spectral Analysis

Query-Adaptive Local Regression for High-Dimensional Spectral Analysis

Traffic Prediction

Simulation of NR-V2X in a 5G Environment using OMNeT++

Unsupervised Learning

A Self-Organizing Map Artificial Neural Network to Improve the K-Means Algorithm on the Classification of Different Cancers

WiFi Fingerprinting

An enhanced group matching method with transformed fingerprints, similarity filtering, and adaptive selection for indoor localization

sEMG

A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals