Kaixuan Chen
Orcid: 0000-0003-3904-0395Affiliations:
- Aalborg University, Department of Computer Science, Denmark
- University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia
According to our database1,
Kaixuan Chen
authored at least 25 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
Knowl. Based Syst., April, 2023
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 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
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
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
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
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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
2017
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition.
CoRR, 2017