| 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 | 809 | 2021 |
| 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 | 375 | 2020 |
| 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 | 351 | 2020 |
| 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 | 195 | 2019 |
| 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 | 171 | 2020 |
| 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 | 123* | 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 | 75 | 2019 |
| 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 | 57 | 2019 |
| 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 | 46 | 2018 |
| 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 | 42 | 2019 |
| 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 | 24 | 2018 |
| 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 | 17 | 2018 |
| Deep learning for sensor-based human activity recognition: overview, challenges and opportunities K Chen, D Zhang, L Yao, B Guo, Z Yu, Y Liu | 15* | 2020 |
| 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 | 14 | 2021 |
| 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 | 14 | 2019 |
| 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 | 13 | 2022 |
| 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 | 12 | 2019 |
| 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 | 10 | 2021 |
| 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 | 4 | 2023 |
| Multi-modal Human Behavior Understanding K Chen UNSW Sydney, 2020 | | 2020 |
Lina YaoScience Lead at CSIRO Data61 & Professor at University of New South Wales, AustraliaCorreu electrònic verificat a csiro.au