Xiang Zhang

Orcid: 0000-0001-5097-2113

Affiliations:
  • University of North Carolina at Charlotte, Department of Computer Science, NC, USA
  • Harvard University, Harvard Medical School, Boston, MA, USA
  • University of New South Wales, School of Computer Science and Engineering, Sydney, Australia (PhD 2020)


According to our database1, Xiang Zhang authored at least 41 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN.
Sensors, March, 2024

Self-Supervised Learning for Time Series: Contrastive or Generative?
CoRR, 2024

2023
Multimodal representation learning for predicting molecule-disease relations.
Bioinform., February, 2023

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review.
Sensors, 2023

Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph-Guided Network for Irregularly Sampled Multivariate Time Series.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Population-scale identification of differential adverse events before and during a pandemic.
Nat. Comput. Sci., 2021

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.
Future Gener. Comput. Syst., 2021

ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2021

Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications
WorldScientific, ISBN: 9781786349606, 2021

2020
Data-Efficient Deep Representation Learning for Brain-Computer Interface and Its Applications.
PhD thesis, 2020

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.
IEEE J. Biomed. Health Informatics, 2020

DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves.
ACM Trans. Intell. Syst. Technol., 2020

Unraveling Metric Vector Spaces With Factorization for Recommendation.
IEEE Trans. Ind. Informatics, 2020

Software expert discovery via knowledge domain embeddings in a collaborative network.
Pattern Recognit. Lett., 2020

A multi-view CNN-based acoustic classification system for automatic animal species identification.
Ad Hoc Networks, 2020

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity.
IEEE Internet Things J., 2019

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.
CoRR, 2019

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.
Aust. J. Intell. Inf. Process. Syst., 2019

Adversarial Variational Embedding for Robust Semi-supervised Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Dual-stream Self-Attentive Random Forest for False Information Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding.
CoRR, 2018

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks.
CoRR, 2018

Data-Augmented Regression with Generative Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Context-aware Human Intent Inference for Improving Human Machine Cooperation.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Multi-modality Sensor Data Classification with Selective Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.
CoRR, 2017

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks.
CoRR, 2017

DeepKey: An EEG and Gait Based Dual-Authentication System.
CoRR, 2017

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


  Loading...