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Kaixuan Chen
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Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities
K Chen, D Zhang, L Yao, B Guo, Z Yu, Y Liu
ACM Computing Surveys (CSUR) 54 (4), 1-40, 2021
5752021
A semisupervised recurrent convolutional attention model for human activity recognition
K Chen, L Yao, D Zhang, X Wang, X Chang, F Nie
IEEE transactions on neural networks and learning systems 31 (5), 1747-1756, 2020
3342020
Making sense of spatio-temporal preserving representations for EEG-based human intention recognition
D Zhang, L Yao, K Chen, S Wang, X Chang, Y Liu
IEEE transactions on cybernetics 50 (7), 3033-3044, 2020
3052020
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis
D Zhang, L Yao, K Chen, J Monaghan
IEEE Signal Processing Letters 26 (5), 715-719, 2019
1532019
Motor imagery classification via temporal attention cues of graph embedded EEG signals
D Zhang, K Chen, D Jian, L Yao
IEEE journal of biomedical and health informatics 24 (9), 2570-2579, 2020
1172020
MindID: Person identification from brain waves through attention-based recurrent neural network
X Zhang, L Yao, SS Kanhere, Y Liu, T Gu, K Chen
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
100*2018
A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals
D Zhang, L Yao, K Chen, S Wang, PD Haghighi, C Sullivan
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (11 …, 2019
602019
Distributionally robust semi-supervised learning for people-centric sensing
K Chen, L Yao, D Zhang, S Wang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3321-3328, 2019
472019
Interpretable parallel recurrent neural networks with convolutional attentions for multi-modality activity modeling
K Chen, L Yao, X Wang, D Zhang, T Gu, Z Yu, Z Yang
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
432018
Multi-agent Attentional Activity Recognition
K Chen, L Yao, D Zhang, B Guo, Z Yu
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
372019
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model
D Zhang, L Yao, K Chen, S Wang
Proceedings of the 27th ACM International Conference on Information and …, 2018
232018
Fuzzy integral optimization with deep q-network for eeg-based intention recognition
D Zhang, L Yao, S Wang, K Chen, Z Yang, B Benatallah
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
162018
Deep learning for sensor-based human activity recognition: overview, challenges and opportunities
K Chen, D Zhang, L Yao, B Guo, Z Yu, Y Liu
13*2020
Collective protection: Preventing sensitive inferences via integrative transformation
D Zhang, L Yao, K Chen
2019 IEEE International Conference on Data Mining (ICDM), 1498-1503, 2019
122019
Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection
D Zhang, K Chen, D Jian, L Yao, S Wang, P Li
2019 IEEE International Conference on Data Mining (ICDM), 1450-1455, 2019
112019
HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps
J Brusokas, TB Pedersen, L Šikšnys, D Zhang, K Chen
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
92021
Preventing sensitive information leakage from mobile sensor signals via integrative transformation
D Zhang, L Yao, K Chen, Z Yang, X Gao, Y Liu
IEEE Transactions on Mobile Computing 21 (12), 4517-4528, 2021
82021
Probabilistic Forecasts of Global Horizontal Irradiance for Solar Systems
JF Jønler, FB Lottrup, B Berg, D Zhang, K Chen
IEEE Sensors Letters 7 (1), 1-4, 2022
62022
Automated labeling and online evaluation for self-paced movement detection BCI
D Zhang, C Hansen, F De Frène, SP Kærgaard, W Qian, K Chen
Knowledge-Based Systems 265, 110383, 2023
2023
Multi-modal Human Behavior Understanding.
K Chen
University of New South Wales, Sydney, Australia, 2020
2020
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