Project Category

Indoor Localization & Representation Learning

Machine learning and deep learning methods for WiFi/5G indoor positioning, signal representation learning, and localization robustness.

All projects
Machine Learning Deep Learning Localization Signal Processing WiFi 5G

GMM-TSFA Indoor Localization

GitHub

Fingerprint transformation, similarity filtering, and adaptive reference selection for explainable WiFi fingerprint localization.

Machine Learning WiFi Representation Learning Similarity Filtering

Group Matching Method

GitHub

Search-space reduction framework for RSS fingerprint matching, improving localization accuracy and computational efficiency.

Machine Learning Search-Space Reduction Efficient Inference

PPSA-Net Structured Attention

Prior-probability-driven structured attention network for learning signal relationships and co-occurrence patterns in indoor localization.

Deep Learning Structured Attention Co-occurrence Modeling

LSTM Distill MLP

GitHub

Dual-mode indoor localization framework combining temporal LSTM modeling with lightweight MLP knowledge distillation.

Deep Learning LSTM Model Distillation Efficient Inference