| 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 54 (4), 77:1-40, 2021 | 724 | 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 (TNNLS) 31 (5 …, 2020 | 357 | 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 (TCYB) 50 (7), 3033 - 3044, 2019 | 332 | 2019 |
| Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface D Zhang, L Yao, X Zhang, S Wang, W Chen, R Boots, B Benatallah Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 32 (1), 2018 | 284* | 2018 |
| A convolutional recurrent attention model for subject-independent EEG signal analysis D Zhang, L Yao, K Chen, J Monaghan IEEE Signal Processing Letters (SPL) 26 (5), 715-719, 2019 | 181 | 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 (JBHI) 24 (9), 2570-2579, 2020 | 147 | 2020 |
| Converting your thoughts to texts: Enabling brain typing via deep feature learning of eeg signals X Zhang, L Yao, QZ Sheng, SS Kanhere, T Gu, D Zhang 2018 IEEE international conference on pervasive computing and communications …, 2018 | 123 | 2018 |
| Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis X Zhang, L Yao, D Zhang, X Wang, QZ Sheng, T Gu The 14th International Conference on Mobile and Ubiquitous Systems …, 2017 | 80 | 2017 |
| 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 (TNSRE …, 2019 | 69 | 2019 |
| AutoCTS: Automated correlated time series forecasting X Wu, D Zhang, C Guo, C He, B Yang, CS Jensen Proceedings of the VLDB Endowment (PVLDB) 15 (4), 971-983, 2021 | 67 | 2021 |
| Distributionally robust semi-supervised learning for people-centric sensing K Chen, L Yao, D Zhang, X Chang, G Long, S Wang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 33 (01 …, 2019 | 53 | 2019 |
| Research on closed-loop supply chain with competing retailers under government reward-penalty mechanism and asymmetric information X Zhang, X Yuan, D Zhang Discrete Dynamics in Nature and Society 2020, 2020 | 48 | 2020 |
| 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 | 44 | 2018 |
| EEG-based Emotion Recognition with Emotion Localization via Hierarchical Self-Attention Y Zhang, H Liu, D Zhang, X Chen, T Qin, Q Zheng IEEE Transactions on Affective Computing (TAC), 2022 | 40 | 2022 |
| Multi-agent attentional activity recognition K Chen, L Yao, D Zhang, B Guo, Z Yu The 28th International Joint Conferences on Artificial Intelligence (IJCAI …, 2019 | 38 | 2019 |
| Growth of SnO2 nanowire arrays by ultrasonic spray pyrolysis and their gas sensing performance J Sun, P Sun, D Zhang, J Xu, X Liang, F Liu, G Lu RSC Advances 4 (82), 43429-43435, 2014 | 38 | 2014 |
| Uncertainty Quantification for Traffic Forecasting: A Unified Approach W Qian, D Zhang, Y Zhao, K Zheng, JJQ Yu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 992--1004, 2023 | 30 | 2023 |
| AutoCTS+: Joint neural architecture and hyperparameter search for correlated time series forecasting X Wu, D Zhang, M Zhang, C Guo, B Yang, CS Jensen Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 27 | 2023 |
| LightCTS: A Lightweight Framework for Correlated Time Series Forecasting Z Lai, D Zhang, H Li, CS Jensen, H Lu, Y Zhao Proceedings of the ACM on Management of Data 1 (2), 1-26, 2023 | 23 | 2023 |
| Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model D Zhang, L Yao, K Chen, S Wang 27th ACM International Conference on Information and Knowledge Management …, 2018 | 23 | 2018 |
Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South WalesZweryfikowany adres z csiro.au
