Xiang Zhang
Orcid: 0000-0001-5097-2113Affiliations:
- 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 51 papers
between 2017 and 2025.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2025
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025
2024
Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024
Sensors, March, 2024
CoRR, 2024
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification.
CoRR, 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
2023
Bioinform., February, 2023
Sensors, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 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
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
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
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
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
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
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
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
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018
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
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017