| Deep convolutional neural networks for indoor localization with CSI images X Wang, X Wang, S Mao IEEE Transactions on Network Science and Engineering 7 (1), 316-327, 2018 | 279 | 2018 |
| CiFi: Deep convolutional neural networks for indoor localization with 5 GHz Wi-Fi X Wang, X Wang, S Mao 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 199 | 2017 |
| RF sensing in the Internet of Things: A general deep learning framework X Wang, X Wang, S Mao IEEE Communications Magazine 56 (9), 62-67, 2018 | 128 | 2018 |
| ResLoc: Deep residual sharing learning for indoor localization with CSI tensors X Wang, X Wang, S Mao 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 91 | 2017 |
| Indoor radio map construction and localization with deep Gaussian processes X Wang, X Wang, S Mao, J Zhang, SCG Periaswamy, J Patton IEEE Internet of Things Journal 7 (11), 11238-11249, 2020 | 88 | 2020 |
| On remote temperature sensing using commercial UHF RFID tags X Wang, J Zhang, Z Yu, S Mao, SCG Periaswamy, J Patton IEEE Internet of Things Journal 6 (6), 10715-10727, 2019 | 78 | 2019 |
| Robust RFID based 6-DoF localization for unmanned aerial vehicles J Zhang, X Wang, Z Yu, Y Lyu, S Mao, SCG Periaswamy, J Patton, ... IEEE access 7, 77348-77361, 2019 | 67 | 2019 |
| Indoor fingerprinting with bimodal CSI tensors: A deep residual sharing learning approach X Wang, X Wang, S Mao IEEE Internet of Things Journal 8 (6), 4498-4513, 2020 | 46 | 2020 |
| RFHUI: An RFID based human-unmanned aerial vehicle interaction system in an indoor environment J Zhang, Z Yu, X Wang, Y Lyu, S Mao, SCG Periaswamy, J Patton, ... Digital Communications and Networks 6 (1), 14-22, 2020 | 40 | 2020 |
| RFHUI: An intuitive and easy-to-operate human-uav interaction system for controlling a UAV in a 3D space J Zhang, Z Yu, X Wang, Y Lyu, S Mao, SCG Periaswamy, J Patton, ... Proceedings of the 15th EAI international conference on mobile and …, 2018 | 24 | 2018 |
| DeepMap: Deep Gaussian process for indoor radio map construction and location estimation X Wang, X Wang, S Mao, J Zhang, SCG Periaswamy, J Patton 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 21 | 2018 |
| Adversarial deep learning for indoor localization with channel state information tensors X Wang, X Wang, S Mao, J Zhang, SCG Periaswamy, J Patton IEEE internet of things journal 9 (19), 18182-18194, 2022 | 18 | 2022 |
| Adversarial attacks on deep learning-based floor classification and indoor localization M Patil, X Wang, X Wang, S Mao Proceedings of the 3rd ACM Workshop on Wireless Security and Machine …, 2021 | 18 | 2021 |
| RFThermometer: A temperature estimation system with commercial UHF RFID tags X Wang, J Zhang, Z Yu, E Mao, SCG Periaswamy, J Patton ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 13 | 2019 |
| WiFi fingerprinting based indoor localization: When CSI tensor meets deep residual sharing learning X Wang Auburn University, 2017 | 9 | 2017 |
| MapLoc: LSTM-Based Location Estimation Using Uncertainty Radio Maps X Wang, Z Yu, S Mao, J Zhang, SCG Periaswamy, J Patton IEEE Internet of Things Journal 10 (15), 13474-13488, 2023 | 4 | 2023 |
| Locating multiple rfid tags with swin transformer-based rf hologram tensor filtering X Wang, J Zhang, S Mao, SC Periaswamy, J Patton 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 1-2, 2022 | 3 | 2022 |
| MulTLoc: RF Hologram Tensor Filtering and Upscaling for Locating Multiple RFID Tags X Wang, J Zhang, S Mao, SCG Periaswamy, J Patton 2021 International Conference on Computer Communications and Networks (ICCCN …, 2021 | 2 | 2021 |
| A framework for locating multiple RFID tags using RF hologram tensors X Wang, J Zhang, S Mao, SCG Periaswamy, J Patton Digital Communications and Networks, 2023 | | 2023 |
| Fingerprinting-based Indoor Localization with Deep Neural Networks X Wang Auburn University, 2022 | | 2022 |
Shiwen MaoProfessor and Earle C. Williams Eminent Scholar, Fellow of the IEEE, Dept. ECE, Auburn UniversityE-mail confirmado em auburn.edu