Dalin Zhang
Orcid: 0000-0002-5869-6544Affiliations:
- Aalborg University, Department of Computer Science, Denmark
- University of New South Wales, Australia (former)
According to our database1,
Dalin Zhang
authored at least 40 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
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Bibliography
2024
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng., May, 2024
IEEE Trans. Instrum. Meas., 2024
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
CoRR, 2024
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data.
CoRR, 2024
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proc. VLDB Endow., December, 2023
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency.
IEEE Trans. Knowl. Data Eng., October, 2023
Knowing Your Heart Condition Anytime: User-Independent ECG Measurement Using Commercial Mobile Phones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023
Knowl. Based Syst., April, 2023
EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention.
IEEE Trans. Affect. Comput., 2023
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.
Proc. ACM Manag. Data, 2023
Proc. ACM Manag. Data, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation.
IEEE Trans. Mob. Comput., 2022
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities.
ACM Comput. Surv., 2022
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.
CoRR, 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey.
CoRR, 2022
2021
HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
2020
PhD thesis, 2020
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020
Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals.
IEEE J. Biomed. Health Informatics, 2020
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.
IEEE Trans. Cybern., 2020
Research on the Dynamics Game Model in a Green Supply Chain: Government Subsidy Strategies under the Retailer's Selling Effort Level.
Complex., 2020
2019
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis.
IEEE Signal Process. Lett., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding.
CoRR, 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 Advances in Knowledge Discovery and Data Mining, 2018
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 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
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition.
CoRR, 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