81 citations · 358 across the 18 of their papers we have counts for
18 papers
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification
Weitao Xu, Xiang Zhang, Lina Yao +2
Automatic identification of animal species by their vocalization is an important and challenging task. Although many kinds of audio monitoring system have been proposed in the lite…
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection
Xiang Zhang, Lina Yao, Manqing Dong +3
Objective: Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the world's population. Most of t…
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
Xiang Zhang, Xiaocong Chen, Lina Yao +2
Deep learning algorithms have achieved excellent performance lately in a wide range of fields (e.g., computer version). However, a severe challenge faced by deep learning is the hi…
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals
Xiang Zhang, Xiaocong Chen, Manqing Dong +3
Synthesizing geometrical shapes from human brain activities is an interesting and meaningful but very challenging topic. Recently, the advancements of deep generative models like G…
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang +3
Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices.…
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network
Chaoran Huang, Lina Yao, Xianzhi Wang +2
Community Question Answering (CQA) websites can be claimed as the most major venues for knowledge sharing, and the most effective way of exchanging knowledge at present. Considerin…
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding
Xiang Zhang, Lina Yao, Chaoran Huang +3
Electroencephalography (EEG) signals are known to manifest differential patterns when individuals visually concentrate on different objects. In this work, we present an end-to-end…
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
Xiang Zhang, Lina Yao, Shuai Zhang +3
A Brain-Computer Interface (BCI) acquires brain signals, analyzes and translates them into commands that are relayed to actuation devices for carrying out desired actions. With the…
Multi-modality Sensor Data Classification with Selective Attention
Xiang Zhang, Lina Yao, Chaoran Huang +4
Multimodal wearable sensor data classification plays an important role in ubiquitous computing and has a wide range of applications in scenarios from healthcare to entertainment. H…
Context-aware Human Intent Inference for Improving Human Machine Cooperation
Xiang Zhang
The ability of human beings to precisely recog- nize others intents is a significant mental activity in reasoning about actions, such as, what other people are doing and what they…
Metric Factorization: Recommendation beyond Matrix Factorization
Shuai Zhang, Lina Yao, Yi Tay +3
In the past decade, matrix factorization has been extensively researched and has become one of the most popular techniques for personalized recommendations. Nevertheless, the dot p…
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks
Xiang Zhang, Lina Yao, Xianzhi Wang +3
Electroencephalography (EEG) signals reflect activities on certain brain areas. Effective classification of time-varying EEG signals is still challenging. First, EEG signal process…
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
Xiang Zhang, Lina Yao, Salil S. Kanhere +3
Person identification technology recognizes individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, the state-of-the-art person id…
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
Xiang Zhang, Lina Yao, Dalin Zhang +3
An electroencephalography (EEG) based brain activity recognition is a fundamental field of study for a number of significant applications such as intention prediction, appliance co…
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Xiang Zhang, Lina Yao, Quan Z. Sheng +3
An electroencephalography (EEG) based Brain Computer Interface (BCI) enables people to communicate with the outside world by interpreting the EEG signals of their brains to interac…
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
Dalin Zhang, Lina Yao, Xiang Zhang +3
Brain-Computer Interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG) based…
DeepKey: An EEG and Gait Based Dual-Authentication System
Xiang Zhang, Lina Yao, Chaoran Huang +3
Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, traditi…
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Xiang Zhang, Lina Yao, Chaoran Huang +2
Electroencephalography (EEG) signal based intent recognition has recently attracted much attention in both academia and industries, due to helping the elderly or motor-disabled peo…