| MoVi-Fi: Motion-robust vital signs waveform recovery via deep interpreted RF sensing Z Chen, T Zheng, C Cai, J Luo Proceedings of the 27th annual international conference on mobile computing …, 2021 | 209 | 2021 |
| Pushing large language models to the 6g edge: Vision, challenges, and opportunities Z Lin, G Qu, Q Chen, X Chen, Z Chen, K Huang IEEE Communications Magazine 63 (9), 52-59, 2025 | 192 | 2025 |
| RF-net: A unified meta-learning framework for RF-enabled one-shot human activity recognition S Ding, Z Chen, T Zheng, J Luo Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 517-530, 2020 | 187 | 2020 |
| V2iFi: In-vehicle vital sign monitoring via compact RF sensing T Zheng, Z Chen, C Cai, J Luo, X Zhang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 163 | 2020 |
| MoRe-Fi: Motion-robust and fine-grained respiration monitoring via deep-learning UWB radar T Zheng, Z Chen, S Zhang, C Cai, J Luo Proceedings of the 19th ACM conference on embedded networked sensor systems …, 2021 | 153 | 2021 |
| : Multipath Assisted Wi-Fi Localization with a Single Access Point Z Chen, G Zhu, S Wang, Y Xu, J Xiong, J Zhao, J Luo, X Wang IEEE Transactions on Mobile Computing 20 (2), 588-602, 2019 | 122 | 2019 |
| RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network Z Chen, C Cai, T Zheng, J Luo, J Xiong, X Wang IEEE Transactions on Mobile Computing, 2021 | 118 | 2021 |
| Fedsn: A federated learning framework over heterogeneous leo satellite networks Z Lin, Z Chen, Z Fang, X Chen, X Wang, Y Gao IEEE Transactions on Mobile Computing, 2024 | 103* | 2024 |
| Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving T Zheng, A Li, Z Chen, H Wang, J Luo Proceedings of the 29th annual international conference on mobile computing …, 2023 | 102 | 2023 |
| Splitlora: A split parameter-efficient fine-tuning framework for large language models Z Lin, X Hu, Y Zhang, Z Chen, Z Fang, X Chen, A Li, P Vepakomma, ... arXiv preprint arXiv:2407.00952, 2024 | 95 | 2024 |
| UWHear: Through-wall extraction and separation of audio vibrations using wireless signals Z Wang, Z Chen, AD Singh, L Garcia, J Luo, MB Srivastava Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 1-14, 2020 | 81 | 2020 |
| Can We Obtain Fine-grained Heartbeat Waveform via Contact-free RF-sensing? S Zhang, T Zheng, Z Chen, J Luo IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2022 | 73 | 2022 |
| Automated federated pipeline for parameter-efficient fine-tuning of large language models Z Fang, Z Lin, Z Chen, X Chen, Y Gao, Y Fang arXiv preprint arXiv:2404.06448, 2024 | 72 | 2024 |
| MUSE-Fi: Contactless muti-person sensing exploiting near-field Wi-Fi channel variation J Hu, T Zheng, Z Chen, H Wang, J Luo Proceedings of the 29th annual international conference on mobile computing …, 2023 | 70 | 2023 |
| We hear your pace: Passive acoustic localization of multiple walking persons C Cai, H Pu, P Wang, Z Chen, J Luo Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 68 | 2021 |
| Enhancing RF sensing with deep learning: A layered approach T Zheng, Z Chen, S Ding, J Luo IEEE Communications Magazine 59 (2), 70-76, 2021 | 65 | 2021 |
| Octopus: A practical and versatile wideband MIMO sensing platform Z Chen, T Zheng, J Luo Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 57 | 2021 |
| FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data Y Zhang, H Chen, Z Lin, Z Chen, J Zhao arXiv preprint arXiv:2403.16460, 2024 | 56 | 2024 |
| Hierarchical split federated learning: Convergence analysis and system optimization Z Lin, W Wei, Z Chen, CT Lam, X Chen, Y Gao, J Luo IEEE Transactions on Mobile Computing, 2025 | 52 | 2025 |
| Password-stealing without hacking: Wi-Fi enabled practical keystroke eavesdropping J Hu, H Wang, T Zheng, J Hu, Z Chen, H Jiang, J Luo Proceedings of the 2023 ACM SIGSAC conference on computer and communications …, 2023 | 52 | 2023 |
Jun Luo (罗骏)IEEE Fellow, Full Professor, College of Computing and Data Science, Nanyang Technological UniversityVerified email at ntu.edu.sg
