Efficient human activity recognition solving the confusing activities via deep ensemble learning R Zhu, Z Xiao, Y Li, M Yang, Y Tan, L Zhou, S Lin, H Wen Ieee Access 7, 75490-75499, 2019 | 97 | 2019 |
DeepAVO: Efficient pose refining with feature distilling for deep Visual Odometry R Zhu, M Yang, W Liu, R Song, B Yan, Z Xiao Neurocomputing 467, 22-35, 2022 | 41 | 2022 |
Symmetrical-Net: Adaptive zero velocity detection for ZUPT-aided pedestrian navigation system M Yang, R Zhu, Z Xiao, B Yan IEEE Sensors Journal 22 (6), 5075-5085, 2021 | 20 | 2021 |
Deep ensemble learning for human activity recognition using smartphone R Zhu, Z Xiao, M Cheng, L Zhou, B Yan, S Lin, HK Wen 2018 IEEE 23rd international conference on digital signal processing (DSP), 1-5, 2018 | 18 | 2018 |
ContextAVO: Local context guided and refining poses for deep visual odometry R Song, R Zhu, Z Xiao, B Yan Neurocomputing 533, 86-103, 2023 | 11 | 2023 |
Centimeter-level indoor visible light positioning R Zhu, M Van den Abeele, J Beysens, J Yang, Q Wang IEEE Communications Magazine 62 (3), 48-53, 2023 | 10 | 2023 |
Shufflefl: Addressing heterogeneity in multi-device federated learning R Zhu, M Yang, Q Wang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024 | 2 | 2024 |
Adaptive Real-Time Loop Closure Detection Based on Image Feature Concatenation J Liu, M Xiao, X Lin, R Zhu, Z Xiao, B Yan, S Lin, L Zhou 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 1 | 2021 |
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning M Yang, R Zhu, Q Wang, J Yang The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications R Zhu, M Yang, J Yang, Q Wang 2023 20th Annual IEEE International Conference on Sensing, Communication …, 2023 | | 2023 |
Visible Light Positioning with TinyML: Improving Data Quality and Reducing Data Collection Effort JA Trzykowski, R Zhu, Q Wang | | |