Xiang Zhang's Projects
Emotiv SDK Advanced Edition
The reusable codes for KDD'19 research track paper: Adversarial Variational Embedding for Robust Semi-supervised Learning
Code for paper Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection which has been accepted by the IEEE Journal of Biomedical and Health Informatics (J-BHI).
Codes, data for brain typing paper.
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Python code of DeepKey system
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
Homepage for Xiang Zhang
Codes for paper: Multi-modality sensor data classification with selective attention
Codes and datasets for paper: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks.
Mindid: Person identification from brain waves through attention-based recurrent neural network
Official NAT (Neighborhood Attention Transformer) and DiNAT (Dilated Neighborhood Attention Transformer) repository.
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning, published in ICONIP 2019.
Population-scale patient safety data reveal inequalities in adverse events before and during COVID-19 pandemic
Geometric Deep Learning Extension Library for PyTorch
This is an implementation of Convolutional AutoEncoder using only TensorFlow
Collection of generative models in Tensorflow
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