| Limu-bert: Unleashing the potential of unlabeled data for imu sensing applications H Xu, P Zhou, R Tan, M Li, G Shen Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 117 | 2021 |
| Penetrative ai: Making llms comprehend the physical world H Xu, L Han, Q Yang, M Li, M Srivastava Proceedings of the 25th International Workshop on Mobile Computing Systems …, 2024 | 50 | 2024 |
| AdaRF: Adaptive RFID-based indoor localization using deep learning enhanced holography H Xu, D Wang, R Zhao, Q Zhang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 46 | 2019 |
| FaHo: Deep learning enhanced holographic localization for RFID tags H Xu, D Wang, R Zhao, Q Zhang Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 351-363, 2019 | 37 | 2019 |
| Practically Adopting Human Activity Recognition H Xu, P Zhou, R Tan, M Li Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 25 | 2023 |
| PEC: Synthetic aperture RFID localization with aperture position error compensation R Zhao, D Wang, Q Zhang, H Chen, H Xu 2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019 | 18 | 2019 |
| Facilitating radar-based gesture recognition with self-supervised learning Z Sheng, H Xu, Q Zhang, D Wang 2022 19th Annual IEEE International Conference on Sensing, Communication …, 2022 | 9 | 2022 |
| PRMS: Phase and RSSI based localization system for tagged objects on multilayer with a single antenna H Xu, R Zhao, Q Zhang, D Wang Proceedings of the 21st ACM International Conference on Modeling, Analysis …, 2018 | 4 | 2018 |
| AutoLife: Automatic Life Journaling with Smartphones and LLMs H Xu, P Tong, M Li, M Srivastava arXiv preprint arXiv:2412.15714, 2024 | | 2024 |
| Expanding Deep Learning-based Sensing Systems with Multi-Source Knowledge Transfer G Dai, H Xu, R Tan, M Li arXiv preprint arXiv:2412.04060, 2024 | | 2024 |
| ContrastSense: Domain-invariant Contrastive Learning for In-the-wild Wearable Sensing G DAI, H XU, H YOON, MO LI, RUI TAN, SJU LEE Proc. ACM Interact. Mob. Wearable Ubiquitous Technol 8 (4), 0, 2024 | | 2024 |
| Building generalizable deep learning solutions for mobile sensing H Xu Nanyang Technological University, 2024 | | 2024 |
| LIMU-BERT H Xu, P Zhou, R Tan, M Li, G Shen, X Zhou | | |
Mo LiACM Distinguished Member, IEEE Fellow, Professor, Hong Kong University of Science and TechnologyE-mailová adresa ověřena na: cse.ust.hk